---
_id: '62645'
author:
- first_name: Uta
full_name: Häsel-Weide, Uta
id: '60267'
last_name: Häsel-Weide
orcid: 0000-0001-6278-4240
- first_name: Marcus
full_name: Nührenbörger, Marcus
last_name: Nührenbörger
citation:
ama: 'Häsel-Weide U, Nührenbörger M. Mathematik (Primarstufe) in der Lehrerinnen-
und Lehrerbildung. Qualifizierung für das Lehren von Mathematik in der Grundschule.
In: Cramer C, König J, Rothland M, eds. Handbuch Lehrerinnen- und Lehrerbildung.
2nd ed. Klinkhardt; 2025:549-555. doi:10.35468/hblb2025-070'
apa: Häsel-Weide, U., & Nührenbörger, M. (2025). Mathematik (Primarstufe) in
der Lehrerinnen- und Lehrerbildung. Qualifizierung für das Lehren von Mathematik
in der Grundschule. In C. Cramer, J. König, & M. Rothland (Eds.), Handbuch
Lehrerinnen- und Lehrerbildung (2nd ed., pp. 549–555). Klinkhardt. https://doi.org/10.35468/hblb2025-070
bibtex: '@inbook{Häsel-Weide_Nührenbörger_2025, edition={2}, title={ Mathematik
(Primarstufe) in der Lehrerinnen- und Lehrerbildung. Qualifizierung für das Lehren
von Mathematik in der Grundschule}, DOI={10.35468/hblb2025-070},
booktitle={Handbuch Lehrerinnen- und Lehrerbildung}, publisher={Klinkhardt}, author={Häsel-Weide,
Uta and Nührenbörger, Marcus}, editor={Cramer, C. and König, J. and Rothland,
M.}, year={2025}, pages={549–555} }'
chicago: Häsel-Weide, Uta, and Marcus Nührenbörger. “ Mathematik (Primarstufe) in
der Lehrerinnen- und Lehrerbildung. Qualifizierung für das Lehren von Mathematik
in der Grundschule.” In Handbuch Lehrerinnen- und Lehrerbildung, edited
by C. Cramer, J. König, and M. Rothland, 2nd ed., 549–55. Klinkhardt, 2025. https://doi.org/10.35468/hblb2025-070.
ieee: U. Häsel-Weide and M. Nührenbörger, “ Mathematik (Primarstufe) in der Lehrerinnen-
und Lehrerbildung. Qualifizierung für das Lehren von Mathematik in der Grundschule,”
in Handbuch Lehrerinnen- und Lehrerbildung, 2nd ed., C. Cramer, J. König,
and M. Rothland, Eds. Klinkhardt, 2025, pp. 549–555.
mla: Häsel-Weide, Uta, and Marcus Nührenbörger. “ Mathematik (Primarstufe) in der
Lehrerinnen- und Lehrerbildung. Qualifizierung für das Lehren von Mathematik in
der Grundschule.” Handbuch Lehrerinnen- und Lehrerbildung, edited by C.
Cramer et al., 2nd ed., Klinkhardt, 2025, pp. 549–55, doi:10.35468/hblb2025-070.
short: 'U. Häsel-Weide, M. Nührenbörger, in: C. Cramer, J. König, M. Rothland (Eds.),
Handbuch Lehrerinnen- und Lehrerbildung, 2nd ed., Klinkhardt, 2025, pp. 549–555.'
date_created: 2025-11-27T10:53:30Z
date_updated: 2025-11-27T10:53:52Z
department:
- _id: '543'
doi: 10.35468/hblb2025-070
edition: '2'
editor:
- first_name: C.
full_name: Cramer, C.
last_name: Cramer
- first_name: J.
full_name: König, J.
last_name: König
- first_name: M.
full_name: Rothland, M.
last_name: Rothland
language:
- iso: ger
page: 549-555
publication: Handbuch Lehrerinnen- und Lehrerbildung
publisher: Klinkhardt
status: public
title: ' Mathematik (Primarstufe) in der Lehrerinnen- und Lehrerbildung. Qualifizierung
für das Lehren von Mathematik in der Grundschule'
type: book_chapter
user_id: '44184'
year: '2025'
...
---
_id: '62163'
abstract:
- lang: eng
text: Zero-shot classifiers based on Contrastive Language-Audio Pretraining (CLAP)
models enable classification of given audio into classes defined at test time
using text. These models are costly to run with respect to computation and memory
requirements. In this work, we propose to build a specialized low-resource classifier
for classes pre-defined using text, using a two-stage procedure consisting of
zero-shot data set pruning and model compression. First, relevant in-domain data
is selected from a source dataset using class label embeddings obtained from a
pre-trained CLAP model. This data is then used to distill the audio encoder of
a CLAP model. The proposed compression method produces compact audio encoders
with slightly reduced accuracy. Note that neither labeled nor unlabeled in-domain
audio data is required for its development. We verify by cross-dataset tests that
the resulting classifiers are indeed specialized to their task.
author:
- first_name: Alexander
full_name: Werning, Alexander
id: '62152'
last_name: Werning
- first_name: Reinhold
full_name: Häb-Umbach, Reinhold
id: '242'
last_name: Häb-Umbach
citation:
ama: 'Werning A, Häb-Umbach R. A Fully Zero-Shot Approach to Obtaining Specialized
and Compact Audio Tagging Models. In: Möller S, Gerkmann T, Kolossa D, eds. Proceedings
of the 16th ITG Conference on Speech Communication. ; 2025:76-80.'
apa: Werning, A., & Häb-Umbach, R. (2025). A Fully Zero-Shot Approach to Obtaining
Specialized and Compact Audio Tagging Models. In S. Möller, T. Gerkmann, &
D. Kolossa (Eds.), Proceedings of the 16th ITG Conference on Speech Communication
(pp. 76–80).
bibtex: '@inproceedings{Werning_Häb-Umbach_2025, place={Berlin}, title={A Fully
Zero-Shot Approach to Obtaining Specialized and Compact Audio Tagging Models},
booktitle={Proceedings of the 16th ITG Conference on Speech Communication}, author={Werning,
Alexander and Häb-Umbach, Reinhold}, editor={Möller, Sebastian and Gerkmann, Timo
and Kolossa, Dorothea}, year={2025}, pages={76–80} }'
chicago: Werning, Alexander, and Reinhold Häb-Umbach. “A Fully Zero-Shot Approach
to Obtaining Specialized and Compact Audio Tagging Models.” In Proceedings
of the 16th ITG Conference on Speech Communication, edited by Sebastian Möller,
Timo Gerkmann, and Dorothea Kolossa, 76–80. Berlin, 2025.
ieee: A. Werning and R. Häb-Umbach, “A Fully Zero-Shot Approach to Obtaining Specialized
and Compact Audio Tagging Models,” in Proceedings of the 16th ITG Conference
on Speech Communication, Berlin, 2025, pp. 76–80.
mla: Werning, Alexander, and Reinhold Häb-Umbach. “A Fully Zero-Shot Approach to
Obtaining Specialized and Compact Audio Tagging Models.” Proceedings of the
16th ITG Conference on Speech Communication, edited by Sebastian Möller et
al., 2025, pp. 76–80.
short: 'A. Werning, R. Häb-Umbach, in: S. Möller, T. Gerkmann, D. Kolossa (Eds.),
Proceedings of the 16th ITG Conference on Speech Communication, Berlin, 2025,
pp. 76–80.'
conference:
end_date: 2025-09-26
location: Berlin
name: 16th ITG Conference on Speech Communication
start_date: 2025-09-24
date_created: 2025-11-11T11:46:42Z
date_updated: 2025-11-28T13:20:17Z
department:
- _id: '54'
editor:
- first_name: Sebastian
full_name: Möller, Sebastian
last_name: Möller
- first_name: Timo
full_name: Gerkmann, Timo
last_name: Gerkmann
- first_name: Dorothea
full_name: Kolossa, Dorothea
last_name: Kolossa
language:
- iso: eng
page: 76-80
place: Berlin
project:
- _id: '512'
name: WestAI - AI Service Center West
publication: Proceedings of the 16th ITG Conference on Speech Communication
publication_identifier:
unknown:
- 978-3-8007-6617-8
publication_status: published
quality_controlled: '1'
status: public
title: A Fully Zero-Shot Approach to Obtaining Specialized and Compact Audio Tagging
Models
type: conference
user_id: '62152'
year: '2025'
...
---
_id: '59900'
abstract:
- lang: eng
text: Running state-of-the-art large-scale audio models on edge devices is often
infeasible due to their limited storage and computing resources. It is therefore
necessary to compress and tune the models for the specific target task and hardware.
This is commonly achieved by distilling the audio model, the teacher, to a small
target model, the student. However, this approach can be improved by prepending
a dataset pruning stage and training the teacher on the pruned data set only,
which contains examples relevant to the target task. Recently, CLAP models have
emerged that embed audio and text examples in a common embedding space. We use
the audio embeddings of the CLAP model for the above pruning stage, which is realized
using a domain classifier. After knowledge distillation, the student is eventually
fine-tuned on some data from the target domain. The CLAP architecture combines
text and audio embedding spaces, which allows to search for data given only a
textual description, such as a class label. We show how this can help data pruning.
author:
- first_name: Alexander
full_name: Werning, Alexander
id: '62152'
last_name: Werning
- first_name: Reinhold
full_name: Häb-Umbach, Reinhold
id: '242'
last_name: Häb-Umbach
citation:
ama: 'Werning A, Häb-Umbach R. Distilling Efficient Audio Models using Data Pruning
with CLAP. In: Deutsche Gesellschaft für Akustik e.V. (DEGA), Berlin, 2025, ed.
Proceedings of DAS|DAGA 2025. ; 2025.'
apa: Werning, A., & Häb-Umbach, R. (2025). Distilling Efficient Audio Models
using Data Pruning with CLAP. In Deutsche Gesellschaft für Akustik e.V. (DEGA),
Berlin, 2025 (Ed.), Proceedings of DAS|DAGA 2025.
bibtex: '@inproceedings{Werning_Häb-Umbach_2025, place={Copenhagen}, title={Distilling
Efficient Audio Models using Data Pruning with CLAP}, booktitle={Proceedings of
DAS|DAGA 2025}, author={Werning, Alexander and Häb-Umbach, Reinhold}, editor={Deutsche
Gesellschaft für Akustik e.V. (DEGA), Berlin, 2025}, year={2025} }'
chicago: Werning, Alexander, and Reinhold Häb-Umbach. “Distilling Efficient Audio
Models Using Data Pruning with CLAP.” In Proceedings of DAS|DAGA 2025,
edited by Deutsche Gesellschaft für Akustik e.V. (DEGA), Berlin, 2025. Copenhagen,
2025.
ieee: A. Werning and R. Häb-Umbach, “Distilling Efficient Audio Models using Data
Pruning with CLAP,” in Proceedings of DAS|DAGA 2025, Copenhagen, 2025.
mla: Werning, Alexander, and Reinhold Häb-Umbach. “Distilling Efficient Audio Models
Using Data Pruning with CLAP.” Proceedings of DAS|DAGA 2025, edited by
Deutsche Gesellschaft für Akustik e.V. (DEGA), Berlin, 2025, 2025.
short: 'A. Werning, R. Häb-Umbach, in: Deutsche Gesellschaft für Akustik e.V. (DEGA),
Berlin, 2025 (Ed.), Proceedings of DAS|DAGA 2025, Copenhagen, 2025.'
conference:
end_date: 2025-03-20
location: Copenhagen
name: DAS|DAGA 2025 - 51st Annual Meeting on Acoustics
start_date: 2025-03-17
corporate_editor:
- Deutsche Gesellschaft für Akustik e.V. (DEGA), Berlin, 2025
date_created: 2025-05-14T13:18:10Z
date_updated: 2025-11-28T13:21:13Z
ddc:
- '004'
department:
- _id: '54'
has_accepted_license: '1'
language:
- iso: eng
place: Copenhagen
project:
- _id: '512'
name: WestAI - AI Service Center West
publication: Proceedings of DAS|DAGA 2025
publication_identifier:
unknown:
- 978-3-939296-23-2
publication_status: published
status: public
title: Distilling Efficient Audio Models using Data Pruning with CLAP
type: conference
user_id: '62152'
year: '2025'
...
---
_id: '62701'
abstract:
- lang: eng
text: 'Learning continuous vector representations for knowledge graphs has
significantly improved state-of-the-art performances in many challenging tasks.
Yet, deep-learning-based models are only post-hoc and locally explainable. In
contrast, learning Web Ontology Language (OWL) class expressions in Description Logics (DLs) is ante-hoc and globally
explainable. However, state-of-the-art learners have two well-known lim-itations: scaling to large knowledge graphs and handling missing infor-mation. Here, we present a decision-tree-based learner (tDL) to learn
Web Ontology Languages (OWLs) class expressions over large knowl-edge
graphs, while imputing missing triples. Given positive and negative example individuals,
tDL firstly constructs unique OWL expressions in .SHOIN from concise bounded descriptions of individuals. Each OWL
class expression is used as a feature in a binary classification problem to represent
input individuals. Thereafter, tDL fits a CART decision tree to learn Boolean
decision rules distinguishing positive examples from nega-tive examples. A final
OWL expression in.SHOIN is built by traversing the built CART decision tree from the root node to leaf nodes for each
positive example. By this, tDL can learn OWL class expressions without exploration,
i.e., the number of queries to a knowledge graph is bounded by the number of input
individuals. Our empirical results show that tDL outperforms the current state-of-the-art models across
datasets. Impor-tantly, our experiments over a large knowledge graph (DBpedia
with 1.1 billion triples) show that tDL can effectively learn accurate OWL class
expressions, while the state-of-the-art models fail to return any results.
Finally, expressions learned by tDL can be seamlessly translated into
natural language explanations using a pre-trained large language model and a DL
verbalizer.'
author:
- first_name: Caglar
full_name: Demir, Caglar
last_name: Demir
- first_name: Moshood
full_name: Yekini, Moshood
last_name: Yekini
- first_name: Michael
full_name: Röder, Michael
last_name: Röder
- first_name: Yasir
full_name: Mahmood, Yasir
last_name: Mahmood
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
last_name: Ngonga Ngomo
citation:
ama: 'Demir C, Yekini M, Röder M, Mahmood Y, Ngonga Ngomo A-C. Tree-Based OWL Class
Expression Learner over Large Graphs. In: Lecture Notes in Computer Science.
Springer Nature Switzerland; 2025. doi:10.1007/978-3-032-06066-2_29'
apa: Demir, C., Yekini, M., Röder, M., Mahmood, Y., & Ngonga Ngomo, A.-C. (2025).
Tree-Based OWL Class Expression Learner over Large Graphs. In Lecture Notes
in Computer Science. European Conference on Machine Learning and Principles
and Practice of Knowledge Discovery in Databases - ECML PKDD, Porto, Portugal.
Springer Nature Switzerland. https://doi.org/10.1007/978-3-032-06066-2_29
bibtex: '@inbook{Demir_Yekini_Röder_Mahmood_Ngonga Ngomo_2025, place={Cham}, title={Tree-Based
OWL Class Expression Learner over Large Graphs}, DOI={10.1007/978-3-032-06066-2_29},
booktitle={Lecture Notes in Computer Science}, publisher={Springer Nature Switzerland},
author={Demir, Caglar and Yekini, Moshood and Röder, Michael and Mahmood, Yasir
and Ngonga Ngomo, Axel-Cyrille}, year={2025} }'
chicago: 'Demir, Caglar, Moshood Yekini, Michael Röder, Yasir Mahmood, and Axel-Cyrille
Ngonga Ngomo. “Tree-Based OWL Class Expression Learner over Large Graphs.” In
Lecture Notes in Computer Science. Cham: Springer Nature Switzerland, 2025.
https://doi.org/10.1007/978-3-032-06066-2_29.'
ieee: 'C. Demir, M. Yekini, M. Röder, Y. Mahmood, and A.-C. Ngonga Ngomo, “Tree-Based
OWL Class Expression Learner over Large Graphs,” in Lecture Notes in Computer
Science, Cham: Springer Nature Switzerland, 2025.'
mla: Demir, Caglar, et al. “Tree-Based OWL Class Expression Learner over Large Graphs.”
Lecture Notes in Computer Science, Springer Nature Switzerland, 2025, doi:10.1007/978-3-032-06066-2_29.
short: 'C. Demir, M. Yekini, M. Röder, Y. Mahmood, A.-C. Ngonga Ngomo, in: Lecture
Notes in Computer Science, Springer Nature Switzerland, Cham, 2025.'
conference:
end_date: 2025-09-19
location: Porto, Portugal
name: European Conference on Machine Learning and Principles and Practice of Knowledge
Discovery in Databases - ECML PKDD
start_date: 2025-09-15
date_created: 2025-11-28T14:09:17Z
date_updated: 2025-11-28T14:57:39Z
department:
- _id: '34'
- _id: '574'
doi: 10.1007/978-3-032-06066-2_29
keyword:
- Decision Tree
- OWL Class Expression Learning
- Description Logic
- Knowledge Graph
- Large Language Model
- Verbalizer
language:
- iso: eng
place: Cham
project:
- _id: '285'
name: SAIL - Nachhaltiger Lebenszyklus von intelligenten soziotechnischen Systemen
publication: Lecture Notes in Computer Science
publication_identifier:
isbn:
- '9783032060655'
- '9783032060662'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: Tree-Based OWL Class Expression Learner over Large Graphs
type: book_chapter
user_id: '114533'
year: '2025'
...
---
_id: '62707'
author:
- first_name: Stefan
full_name: Heindorf, Stefan
id: '11871'
last_name: Heindorf
orcid: 0000-0002-4525-6865
- first_name: Daniel
full_name: Neib, Daniel
last_name: Neib
citation:
ama: 'Heindorf S, Neib D. Assessing Natural Language Explanations of Relational
Graph Neural Networks. In: Proceedings of the 34th ACM International Conference
on Information and Knowledge Management. ACM; 2025. doi:10.1145/3746252.3760918'
apa: Heindorf, S., & Neib, D. (2025). Assessing Natural Language Explanations
of Relational Graph Neural Networks. Proceedings of the 34th ACM International
Conference on Information and Knowledge Management. https://doi.org/10.1145/3746252.3760918
bibtex: '@inproceedings{Heindorf_Neib_2025, title={Assessing Natural Language Explanations
of Relational Graph Neural Networks}, DOI={10.1145/3746252.3760918},
booktitle={Proceedings of the 34th ACM International Conference on Information
and Knowledge Management}, publisher={ACM}, author={Heindorf, Stefan and Neib,
Daniel}, year={2025} }'
chicago: Heindorf, Stefan, and Daniel Neib. “Assessing Natural Language Explanations
of Relational Graph Neural Networks.” In Proceedings of the 34th ACM International
Conference on Information and Knowledge Management. ACM, 2025. https://doi.org/10.1145/3746252.3760918.
ieee: 'S. Heindorf and D. Neib, “Assessing Natural Language Explanations of Relational
Graph Neural Networks,” 2025, doi: 10.1145/3746252.3760918.'
mla: Heindorf, Stefan, and Daniel Neib. “Assessing Natural Language Explanations
of Relational Graph Neural Networks.” Proceedings of the 34th ACM International
Conference on Information and Knowledge Management, ACM, 2025, doi:10.1145/3746252.3760918.
short: 'S. Heindorf, D. Neib, in: Proceedings of the 34th ACM International Conference
on Information and Knowledge Management, ACM, 2025.'
date_created: 2025-11-28T15:36:11Z
date_updated: 2025-11-28T15:36:57Z
department:
- _id: '760'
doi: 10.1145/3746252.3760918
language:
- iso: eng
publication: Proceedings of the 34th ACM International Conference on Information and
Knowledge Management
publication_status: published
publisher: ACM
status: public
title: Assessing Natural Language Explanations of Relational Graph Neural Networks
type: conference
user_id: '11871'
year: '2025'
...
---
_id: '61041'
abstract:
- lang: eng
text: Large Language Models (LLMs) are increasingly deployed in real-world applications
that require access to up-to-date knowledge. However, retraining LLMs is computationally
expensive. Therefore, knowledge editing techniques are crucial for maintaining
current information and correcting erroneous assertions within pre-trained models.
Current benchmarks for knowledge editing primarily focus on recalling edited facts,
often neglecting their logical consequences. To address this limitation, we introduce
a new benchmark designed to evaluate how knowledge editing methods handle the
logical consequences of a single fact edit. Our benchmark extracts relevant logical
rules from a knowledge graph for a given edit. Then, it generates multi-hop questions
based on these rules to assess the impact on logical consequences. Our findings
indicate that while existing knowledge editing approaches can accurately insert
direct assertions into LLMs, they frequently fail to inject entailed knowledge.
Specifically, experiments with popular methods like ROME and FT reveal a substantial
performance gap, up to 24%, between evaluations on directly edited knowledge and
on entailed knowledge. This highlights the critical need for semantics-aware evaluation
frameworks in knowledge editing.
author:
- first_name: Tatiana
full_name: Moteu Ngoli, Tatiana
id: '99174'
last_name: Moteu Ngoli
- first_name: N'Dah Jean
full_name: Kouagou, N'Dah Jean
id: '87189'
last_name: Kouagou
- first_name: Hamada Mohamed Abdelsamee
full_name: Zahera, Hamada Mohamed Abdelsamee
id: '72768'
last_name: Zahera
orcid: 0000-0003-0215-1278
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'Moteu Ngoli T, Kouagou NJ, Zahera HMA, Ngonga Ngomo A-C. Benchmarking Knowledge
Editing using Logical Rules. In: Proceedings of the 24th International Semantic
Web Conference (ISWC 2025). Springer, Cham; 2025:pp 41-56. doi:https://doi.org/10.1007/978-3-032-09530-5_3'
apa: Moteu Ngoli, T., Kouagou, N. J., Zahera, H. M. A., & Ngonga Ngomo, A.-C.
(2025). Benchmarking Knowledge Editing using Logical Rules. Proceedings of
the 24th International Semantic Web Conference (ISWC 2025), pp 41-56. https://doi.org/10.1007/978-3-032-09530-5_3
bibtex: '@inproceedings{Moteu Ngoli_Kouagou_Zahera_Ngonga Ngomo_2025, title={Benchmarking
Knowledge Editing using Logical Rules}, DOI={https://doi.org/10.1007/978-3-032-09530-5_3},
booktitle={Proceedings of the 24th International Semantic Web Conference (ISWC
2025)}, publisher={Springer, Cham}, author={Moteu Ngoli, Tatiana and Kouagou,
N’Dah Jean and Zahera, Hamada Mohamed Abdelsamee and Ngonga Ngomo, Axel-Cyrille},
year={2025}, pages={pp 41-56} }'
chicago: Moteu Ngoli, Tatiana, N’Dah Jean Kouagou, Hamada Mohamed Abdelsamee Zahera,
and Axel-Cyrille Ngonga Ngomo. “Benchmarking Knowledge Editing Using Logical Rules.”
In Proceedings of the 24th International Semantic Web Conference (ISWC 2025),
pp 41-56. Springer, Cham, 2025. https://doi.org/10.1007/978-3-032-09530-5_3.
ieee: 'T. Moteu Ngoli, N. J. Kouagou, H. M. A. Zahera, and A.-C. Ngonga Ngomo, “Benchmarking
Knowledge Editing using Logical Rules,” in Proceedings of the 24th International
Semantic Web Conference (ISWC 2025), Nara, Japan, 2025, p. pp 41-56, doi:
https://doi.org/10.1007/978-3-032-09530-5_3.'
mla: Moteu Ngoli, Tatiana, et al. “Benchmarking Knowledge Editing Using Logical
Rules.” Proceedings of the 24th International Semantic Web Conference (ISWC
2025), Springer, Cham, 2025, p. pp 41-56, doi:https://doi.org/10.1007/978-3-032-09530-5_3.
short: 'T. Moteu Ngoli, N.J. Kouagou, H.M.A. Zahera, A.-C. Ngonga Ngomo, in: Proceedings
of the 24th International Semantic Web Conference (ISWC 2025), Springer, Cham,
2025, p. pp 41-56.'
conference:
end_date: 2025.11.6
location: Nara, Japan
name: The 24th International Semantic Web Conference (ISWC 2025)
start_date: 2025.11.2
date_created: 2025-08-27T13:17:55Z
date_updated: 2025-12-01T10:04:25Z
department:
- _id: '574'
doi: https://doi.org/10.1007/978-3-032-09530-5_3
keyword:
- dice sailproject moteu kouagou zahera ngonga
language:
- iso: eng
page: pp 41-56
project:
- _id: '285'
name: SAIL - Nachhaltiger Lebenszyklus von intelligenten soziotechnischen Systemen
publication: Proceedings of the 24th International Semantic Web Conference (ISWC 2025)
publication_identifier:
isbn:
- 978-3-032-09530-5
publication_status: published
publisher: Springer, Cham
status: public
title: Benchmarking Knowledge Editing using Logical Rules
type: conference
user_id: '99174'
year: '2025'
...
---
_id: '62731'
article_number: '139453'
author:
- first_name: Henning
full_name: Meschede, Henning
id: '86954'
last_name: Meschede
orcid: 0000-0002-1538-089X
- first_name: Lukas
full_name: Knorr, Lukas
id: '90391'
last_name: Knorr
- first_name: Antonio
full_name: Piacentino, Antonio
last_name: Piacentino
- first_name: Natasa
full_name: Markovska, Natasa
last_name: Markovska
- first_name: Neven
full_name: Duic, Neven
last_name: Duic
citation:
ama: Meschede H, Knorr L, Piacentino A, Markovska N, Duic N. Integrated and demand-responsive
energy futures in the context of sustainable development of energy systems. Energy.
Published online 2025. doi:10.1016/j.energy.2025.139453
apa: Meschede, H., Knorr, L., Piacentino, A., Markovska, N., & Duic, N. (2025).
Integrated and demand-responsive energy futures in the context of sustainable
development of energy systems. Energy, Article 139453. https://doi.org/10.1016/j.energy.2025.139453
bibtex: '@article{Meschede_Knorr_Piacentino_Markovska_Duic_2025, title={Integrated
and demand-responsive energy futures in the context of sustainable development
of energy systems}, DOI={10.1016/j.energy.2025.139453},
number={139453}, journal={Energy}, publisher={Elsevier BV}, author={Meschede,
Henning and Knorr, Lukas and Piacentino, Antonio and Markovska, Natasa and Duic,
Neven}, year={2025} }'
chicago: Meschede, Henning, Lukas Knorr, Antonio Piacentino, Natasa Markovska, and
Neven Duic. “Integrated and Demand-Responsive Energy Futures in the Context of
Sustainable Development of Energy Systems.” Energy, 2025. https://doi.org/10.1016/j.energy.2025.139453.
ieee: 'H. Meschede, L. Knorr, A. Piacentino, N. Markovska, and N. Duic, “Integrated
and demand-responsive energy futures in the context of sustainable development
of energy systems,” Energy, Art. no. 139453, 2025, doi: 10.1016/j.energy.2025.139453.'
mla: Meschede, Henning, et al. “Integrated and Demand-Responsive Energy Futures
in the Context of Sustainable Development of Energy Systems.” Energy, 139453,
Elsevier BV, 2025, doi:10.1016/j.energy.2025.139453.
short: H. Meschede, L. Knorr, A. Piacentino, N. Markovska, N. Duic, Energy (2025).
date_created: 2025-12-02T05:43:01Z
date_updated: 2025-12-02T05:44:54Z
department:
- _id: '644'
doi: 10.1016/j.energy.2025.139453
language:
- iso: eng
publication: Energy
publication_identifier:
issn:
- 0360-5442
publication_status: published
publisher: Elsevier BV
status: public
title: Integrated and demand-responsive energy futures in the context of sustainable
development of energy systems
type: journal_article
user_id: '90391'
year: '2025'
...
---
_id: '62750'
abstract:
- lang: eng
text: 'Diese Dissertation enthält Beiträge zum Bereich der Mehrzieloptimierung mit
einem Fokus auf unbeschränkten Problemen, die auf einem allgemeinen Hilbertraum
definiert sind. Für Mehrzieloptimierungsprobleme mit lokal Lipschitz-stetigen
Zielfunktionen definieren wir ein multikriterielles Subdifferential, das wir erstmals
im Kontext allgemeiner Hilberträume analysieren. Aufbauend auf diesen theoretischen
Untersuchungen präsentieren wir ein Abstiegsverfahren, bei welchem in jeder Iteration
eine Abstiegsrichtung mittels einer numerischen Approximation des multikriteriellen
Subdifferentials bestimmt wird. Im Kontext konvexer, stetig differenzierbarer
Zielfunktionen mit Lipschitz-stetigen Gradienten, führen wir eine Familie von
dynamischen Gradientensystemen mit Trägheitsterm ein, die bekannte kontinuierliche
Systeme aus der skalaren Optimierung verallgemeinern. Wir stellen drei neue Systeme
vor: eines mit konstanter Dämpfung, eines mit asymptotisch abnehmender Dämpfung
und eines, das zusätzlich eine zeitabhängige Tikhonov-Regularisierung beinhaltet.
Aufbauend auf den Untersuchungen der neuen dynamischen Gradientensysteme, entwickeln
wir ein beschleunigtes Gradientenverfahren zur Mehrzieloptimierung, das auf einer
Diskretisierung des multikriteriellen Gradientensystems mit asymptotisch abnehmender
Dämpfung beruht. Das hergeleitete Verfahren bewahrt die günstigen Konvergenzeigenschaften
des kontinuierlichen Systems und erreicht eine schnellere Konvergenz als klassische
Verfahren.'
- lang: eng
text: 'This dissertation contributes to the field of multiobjective optimization,
with a focus on unconstrained problems formulated in a general Hilbert space.
For multiobjective optimization problems with locally Lipschitz continuous objective
functions, we define a multiobjective subdifferential, which we analyze for the
first time in the context of general Hilbert spaces. Building on these theoretical
investigations, we present a descent method in which, at each iteration, a descent
direction is determined via a numerical approximation of the multiobjective subdifferential.
In the setting of convex, continuously differentiable objective functions with
Lipschitz continuous gradients, we introduce a family of inertial gradient dynamical
systems that generalize well-known continuous-time systems from scalar optimization.
We present three novel systems: one with constant damping, one with asymptotic
vanishing damping, and one combining vanishing damping with time-dependent Tikhonov
regularization. Building on the investigation of the novel gradient dynamical
systems, we develop an accelerated gradient method for multiobjective optimization
via discretization of the multiobjective gradient system with asymptotic vanishing
damping. The proposed method retains the favorable convergence properties of the
continuous system while achieving faster convergence than standard approaches,
such as classical methods.'
author:
- first_name: Konstantin
full_name: Sonntag, Konstantin
id: '56399'
last_name: Sonntag
orcid: https://orcid.org/0000-0003-3384-3496
citation:
ama: Sonntag K. First-Order Methods and Gradient Dynamical Systems for Multiobjective
Optimization. Paderborn University; 2025. doi:10.17619/UNIPB/1-2457
apa: Sonntag, K. (2025). First-order methods and gradient dynamical systems for
multiobjective optimization. Paderborn University. https://doi.org/10.17619/UNIPB/1-2457
bibtex: '@book{Sonntag_2025, title={First-order methods and gradient dynamical systems
for multiobjective optimization}, DOI={10.17619/UNIPB/1-2457},
publisher={Paderborn University}, author={Sonntag, Konstantin}, year={2025} }'
chicago: Sonntag, Konstantin. First-Order Methods and Gradient Dynamical Systems
for Multiobjective Optimization. Paderborn University, 2025. https://doi.org/10.17619/UNIPB/1-2457.
ieee: K. Sonntag, First-order methods and gradient dynamical systems for multiobjective
optimization. Paderborn University, 2025.
mla: Sonntag, Konstantin. First-Order Methods and Gradient Dynamical Systems
for Multiobjective Optimization. Paderborn University, 2025, doi:10.17619/UNIPB/1-2457.
short: K. Sonntag, First-Order Methods and Gradient Dynamical Systems for Multiobjective
Optimization, Paderborn University, 2025.
date_created: 2025-12-03T06:55:01Z
date_updated: 2025-12-03T07:04:36Z
ddc:
- '510'
department:
- _id: '101'
- _id: '530'
doi: 10.17619/UNIPB/1-2457
has_accepted_license: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://digital.ub.uni-paderborn.de/hs/download/pdf/8141881
oa: '1'
publisher: Paderborn University
status: public
supervisor:
- first_name: Michael
full_name: Dellnitz, Michael
last_name: Dellnitz
- first_name: Sina
full_name: Ober-Blöbaum, Sina
id: '16494'
last_name: Ober-Blöbaum
title: First-order methods and gradient dynamical systems for multiobjective optimization
type: dissertation
user_id: '56399'
year: '2025'
...
---
_id: '62007'
abstract:
- lang: eng
text: "Ensemble methods are widely employed to improve generalization in machine
learning. This has also prompted the adoption of ensemble learning for the knowledge
graph embedding (KGE) models in performing link prediction. Typical approaches
to this end train multiple models as part of the ensemble, and the diverse predictions
are then averaged. However, this approach has some significant drawbacks. For
instance, the computational overhead of training multiple models increases latency
and memory overhead. In contrast, model merging approaches offer a promising alternative
that does not require training multiple models. In this work, we introduce model
merging, specifically weighted averaging, in\r\nKGE models. Herein, a running
average of model parameters from a training epoch onward is maintained and used
for predictions. To address this, we additionally propose an approach that selectively
updates the running average of the ensemble model parameters only when the generalization
performance improves on a validation dataset. We evaluate these two different
weighted averaging approaches on link prediction tasks, comparing the state-of-the-art
benchmark ensemble approach. Additionally, we evaluate the weighted averaging
approach considering literal-augmented KGE models and multi-hop query answering
tasks as well. The results demonstrate that the proposed weighted averaging approach
consistently improves performance across diverse evaluation settings."
author:
- first_name: Rupesh
full_name: Sapkota, Rupesh
id: '89326'
last_name: Sapkota
- first_name: Caglar
full_name: Demir, Caglar
last_name: Demir
- first_name: Arnab
full_name: Sharma, Arnab
last_name: Sharma
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
last_name: Ngonga Ngomo
citation:
ama: 'Sapkota R, Demir C, Sharma A, Ngonga Ngomo A-C. Parameter Averaging in Link
Prediction. In: Proceedings of the Thirteenth International Conference on Knowledge
Capture(K-CAP 2025). ACM; 2025. doi:https://doi.org/10.1145/3731443.3771365'
apa: Sapkota, R., Demir, C., Sharma, A., & Ngonga Ngomo, A.-C. (2025). Parameter
Averaging in Link Prediction. Proceedings of the Thirteenth International Conference
on Knowledge Capture(K-CAP 2025). Knowledge Capture Conference 2025, Dayton,
OH, USA. https://doi.org/10.1145/3731443.3771365
bibtex: '@inproceedings{Sapkota_Demir_Sharma_Ngonga Ngomo_2025, place={Dayton, OH,
USA}, title={Parameter Averaging in Link Prediction}, DOI={https://doi.org/10.1145/3731443.3771365},
booktitle={Proceedings of the Thirteenth International Conference on Knowledge
Capture(K-CAP 2025)}, publisher={ACM}, author={Sapkota, Rupesh and Demir, Caglar
and Sharma, Arnab and Ngonga Ngomo, Axel-Cyrille}, year={2025} }'
chicago: 'Sapkota, Rupesh, Caglar Demir, Arnab Sharma, and Axel-Cyrille Ngonga Ngomo.
“Parameter Averaging in Link Prediction.” In Proceedings of the Thirteenth
International Conference on Knowledge Capture(K-CAP 2025). Dayton, OH, USA:
ACM, 2025. https://doi.org/10.1145/3731443.3771365.'
ieee: 'R. Sapkota, C. Demir, A. Sharma, and A.-C. Ngonga Ngomo, “Parameter Averaging
in Link Prediction,” presented at the Knowledge Capture Conference 2025, Dayton,
OH, USA, 2025, doi: https://doi.org/10.1145/3731443.3771365.'
mla: Sapkota, Rupesh, et al. “Parameter Averaging in Link Prediction.” Proceedings
of the Thirteenth International Conference on Knowledge Capture(K-CAP 2025),
ACM, 2025, doi:https://doi.org/10.1145/3731443.3771365.
short: 'R. Sapkota, C. Demir, A. Sharma, A.-C. Ngonga Ngomo, in: Proceedings of
the Thirteenth International Conference on Knowledge Capture(K-CAP 2025), ACM,
Dayton, OH, USA, 2025.'
conference:
end_date: 2025-12-10
location: Dayton, OH, USA
name: Knowledge Capture Conference 2025
start_date: 2025-12-10
date_created: 2025-10-28T10:02:40Z
date_updated: 2025-12-04T09:15:07Z
ddc:
- '000'
department:
- _id: '574'
doi: https://doi.org/10.1145/3731443.3771365
file:
- access_level: open_access
content_type: application/pdf
creator: rupezzz
date_created: 2025-10-28T10:02:13Z
date_updated: 2025-10-28T10:02:13Z
file_id: '62008'
file_name: public.pdf
file_size: 837462
relation: main_file
file_date_updated: 2025-10-28T10:02:13Z
has_accepted_license: '1'
keyword:
- Knowledge Graphs
- Embeddings
- Ensemble Learning
language:
- iso: eng
main_file_link:
- url: https://papers.dice-research.org/2025/KCAP_ASWA/public.pdf
oa: '1'
place: Dayton, OH, USA
project:
- _id: '285'
name: SAIL - Nachhaltiger Lebenszyklus von intelligenten soziotechnischen Systemen
publication: Proceedings of the Thirteenth International Conference on Knowledge Capture(K-CAP
2025)
publisher: ACM
status: public
title: Parameter Averaging in Link Prediction
type: conference
user_id: '89326'
year: '2025'
...
---
_id: '62973'
abstract:
- lang: eng
text: "Large Language Models (LLMs) are increasingly being explored for their potential
in software engineering, particularly in static analysis tasks. In this study,
we investigate the potential of current LLMs to enhance call-graph analysis and
type inference for Python and JavaScript programs. We empirically evaluated 24
LLMs, including OpenAI's GPT series and open-source models like LLaMA and Mistral,
using existing and newly developed benchmarks. Specifically, we enhanced TypeEvalPy,
a micro-benchmarking framework for type inference in Python, with auto-generation
capabilities, expanding its scope from 860 to 77,268 type annotations for Python.
Additionally, we introduced SWARM-CG and SWARM-JS, comprehensive benchmarking
suites for evaluating call-graph construction tools across multiple programming
languages.\r\n Our findings reveal a contrasting performance of LLMs in static
analysis tasks. For call-graph generation, traditional static analysis tools such
as PyCG for Python and Jelly for JavaScript consistently outperform LLMs. While
advanced models like mistral-large-it-2407-123b and gpt-4o show promise, they
still struggle with completeness and soundness in call-graph analysis across both
languages. In contrast, LLMs demonstrate a clear advantage in type inference for
Python, surpassing traditional tools like HeaderGen and hybrid approaches such
as HiTyper. These results suggest that, while LLMs hold promise in type inference,
their limitations in call-graph analysis highlight the need for further research.
Our study provides a foundation for integrating LLMs into static analysis workflows,
offering insights into their strengths and current limitations."
author:
- first_name: Ashwin Prasad
full_name: Shivarpatna Venkatesh, Ashwin Prasad
id: '66637'
last_name: Shivarpatna Venkatesh
- first_name: Rose
full_name: Sunil, Rose
id: '97670'
last_name: Sunil
- first_name: Samkutty
full_name: Sabu, Samkutty
last_name: Sabu
- first_name: Amir M.
full_name: Mir, Amir M.
last_name: Mir
- first_name: Sofia
full_name: Reis, Sofia
last_name: Reis
- first_name: Eric
full_name: Bodden, Eric
id: '59256'
last_name: Bodden
orcid: 0000-0003-3470-3647
citation:
ama: Shivarpatna Venkatesh AP, Sunil R, Sabu S, Mir AM, Reis S, Bodden E. An Empirical
Study of Large Language Models for Type and Call Graph Analysis in Python and
JavaScript. Empirical Software Engineering. 2025;30(6). doi:10.48550/ARXIV.2410.00603
apa: Shivarpatna Venkatesh, A. P., Sunil, R., Sabu, S., Mir, A. M., Reis, S., &
Bodden, E. (2025). An Empirical Study of Large Language Models for Type and Call
Graph Analysis in Python and JavaScript. Empirical Software Engineering,
30(6). https://doi.org/10.48550/ARXIV.2410.00603
bibtex: '@article{Shivarpatna Venkatesh_Sunil_Sabu_Mir_Reis_Bodden_2025, title={An
Empirical Study of Large Language Models for Type and Call Graph Analysis in Python
and JavaScript}, volume={30}, DOI={10.48550/ARXIV.2410.00603},
number={6}, journal={Empirical Software Engineering}, publisher={Springer}, author={Shivarpatna
Venkatesh, Ashwin Prasad and Sunil, Rose and Sabu, Samkutty and Mir, Amir M. and
Reis, Sofia and Bodden, Eric}, year={2025} }'
chicago: Shivarpatna Venkatesh, Ashwin Prasad, Rose Sunil, Samkutty Sabu, Amir M.
Mir, Sofia Reis, and Eric Bodden. “An Empirical Study of Large Language Models
for Type and Call Graph Analysis in Python and JavaScript.” Empirical Software
Engineering 30, no. 6 (2025). https://doi.org/10.48550/ARXIV.2410.00603.
ieee: 'A. P. Shivarpatna Venkatesh, R. Sunil, S. Sabu, A. M. Mir, S. Reis, and E.
Bodden, “An Empirical Study of Large Language Models for Type and Call Graph Analysis
in Python and JavaScript,” Empirical Software Engineering, vol. 30, no.
6, 2025, doi: 10.48550/ARXIV.2410.00603.'
mla: Shivarpatna Venkatesh, Ashwin Prasad, et al. “An Empirical Study of Large Language
Models for Type and Call Graph Analysis in Python and JavaScript.” Empirical
Software Engineering, vol. 30, no. 6, Springer, 2025, doi:10.48550/ARXIV.2410.00603.
short: A.P. Shivarpatna Venkatesh, R. Sunil, S. Sabu, A.M. Mir, S. Reis, E. Bodden,
Empirical Software Engineering 30 (2025).
date_created: 2025-12-08T13:20:30Z
date_updated: 2025-12-08T13:25:49Z
department:
- _id: '76'
doi: 10.48550/ARXIV.2410.00603
intvolume: ' 30'
issue: '6'
language:
- iso: eng
publication: Empirical Software Engineering
publisher: Springer
status: public
title: An Empirical Study of Large Language Models for Type and Call Graph Analysis
in Python and JavaScript
type: journal_article
user_id: '15249'
volume: 30
year: '2025'
...
---
_id: '62980'
abstract:
- lang: eng
text: We introduce a new classification of multimode states with a fixed
number of photons. This classification is based on the factorizability of homogeneous
multivariate polynomials and is invariant under unitary transformations. The classes
physically correspond to field excitations in terms of single and multiple photons,
each of which is in an arbitrary irreducible superposition of quantized modes.
We further show how the transitions between classes are rendered possible by photon
addition, photon subtraction, and photon-projection nonlinearities. We explicitly
put forward a design for a multilayer interferometer in which the states for different
classes can be generated with state-of-the-art experimental techniques. Limitations
of the proposed designs are analyzed using the introduced classification, providing
a benchmark for the robustness of certain states and classes.
article_number: '033062'
author:
- first_name: Denis A.
full_name: Kopylov, Denis A.
last_name: Kopylov
- first_name: Christian
full_name: Offen, Christian
id: '85279'
last_name: Offen
orcid: 0000-0002-5940-8057
- first_name: Laura
full_name: Ares, Laura
last_name: Ares
- first_name: Boris Edgar
full_name: Wembe Moafo, Boris Edgar
id: '95394'
last_name: Wembe Moafo
- first_name: Sina
full_name: Ober-Blöbaum, Sina
id: '16494'
last_name: Ober-Blöbaum
- first_name: Torsten
full_name: Meier, Torsten
id: '344'
last_name: Meier
orcid: 0000-0001-8864-2072
- first_name: Polina R.
full_name: Sharapova, Polina R.
id: '60286'
last_name: Sharapova
- first_name: Jan
full_name: Sperling, Jan
id: '75127'
last_name: Sperling
orcid: 0000-0002-5844-3205
citation:
ama: Kopylov DA, Offen C, Ares L, et al. Multiphoton, multimode state classification
for nonlinear optical circuits. Physical Review Research. 2025;7(3). doi:10.1103/sv6z-v1gk
apa: Kopylov, D. A., Offen, C., Ares, L., Wembe Moafo, B. E., Ober-Blöbaum, S.,
Meier, T., Sharapova, P. R., & Sperling, J. (2025). Multiphoton, multimode
state classification for nonlinear optical circuits. Physical Review Research,
7(3), Article 033062. https://doi.org/10.1103/sv6z-v1gk
bibtex: '@article{Kopylov_Offen_Ares_Wembe Moafo_Ober-Blöbaum_Meier_Sharapova_Sperling_2025,
title={Multiphoton, multimode state classification for nonlinear optical circuits},
volume={7}, DOI={10.1103/sv6z-v1gk},
number={3033062}, journal={Physical Review Research}, publisher={American Physical
Society (APS)}, author={Kopylov, Denis A. and Offen, Christian and Ares, Laura
and Wembe Moafo, Boris Edgar and Ober-Blöbaum, Sina and Meier, Torsten and Sharapova,
Polina R. and Sperling, Jan}, year={2025} }'
chicago: Kopylov, Denis A., Christian Offen, Laura Ares, Boris Edgar Wembe Moafo,
Sina Ober-Blöbaum, Torsten Meier, Polina R. Sharapova, and Jan Sperling. “Multiphoton,
Multimode State Classification for Nonlinear Optical Circuits.” Physical Review
Research 7, no. 3 (2025). https://doi.org/10.1103/sv6z-v1gk.
ieee: 'D. A. Kopylov et al., “Multiphoton, multimode state classification
for nonlinear optical circuits,” Physical Review Research, vol. 7, no.
3, Art. no. 033062, 2025, doi: 10.1103/sv6z-v1gk.'
mla: Kopylov, Denis A., et al. “Multiphoton, Multimode State Classification for
Nonlinear Optical Circuits.” Physical Review Research, vol. 7, no. 3, 033062,
American Physical Society (APS), 2025, doi:10.1103/sv6z-v1gk.
short: D.A. Kopylov, C. Offen, L. Ares, B.E. Wembe Moafo, S. Ober-Blöbaum, T. Meier,
P.R. Sharapova, J. Sperling, Physical Review Research 7 (2025).
date_created: 2025-12-09T09:08:39Z
date_updated: 2025-12-09T09:10:01Z
department:
- _id: '15'
- _id: '569'
- _id: '170'
- _id: '293'
- _id: '706'
- _id: '636'
- _id: '35'
- _id: '230'
- _id: '429'
- _id: '623'
doi: 10.1103/sv6z-v1gk
intvolume: ' 7'
issue: '3'
language:
- iso: eng
project:
- _id: '53'
name: 'TRR 142: Maßgeschneiderte nichtlineare Photonik: Von grundlegenden Konzepten
zu funktionellen Strukturen'
- _id: '56'
name: TRR 142 - Project Area C
- _id: '174'
name: 'TRR 142 ; TP: C10: Erzeugung und Charakterisierung von Quantenlicht in nichtlinearen
Systemen: Eine theoretische Analyse'
- _id: '266'
name: 'PhoQC: Photonisches Quantencomputing'
publication: Physical Review Research
publication_identifier:
issn:
- 2643-1564
publication_status: published
publisher: American Physical Society (APS)
status: public
title: Multiphoton, multimode state classification for nonlinear optical circuits
type: journal_article
user_id: '16199'
volume: 7
year: '2025'
...
---
_id: '62271'
author:
- first_name: Maxim
full_name: Weizel, Maxim
id: '44271'
last_name: Weizel
orcid: 0000-0003-2699-9839
- first_name: Sergiy
full_name: Gudyriev, Sergiy
last_name: Gudyriev
- first_name: Andrea
full_name: Zazzi, Andrea
last_name: Zazzi
- first_name: Juliana
full_name: Müller, Juliana
last_name: Müller
- first_name: Tobias
full_name: Schwabe, Tobias
id: '39217'
last_name: Schwabe
- first_name: Jeremy
full_name: Witzens, Jeremy
last_name: Witzens
- first_name: J. Christoph
full_name: Scheytt, J. Christoph
id: '37144'
last_name: Scheytt
orcid: '0000-0002-5950-6618 '
citation:
ama: 'Weizel M, Gudyriev S, Zazzi A, et al. High Voltage (5Vpp) Driver Monolithically
Integrated with Thermally Tunable Optical Ring Resonators in a Silicon Photonics
Technology. In: 2025 32nd IEEE International Conference on Electronics, Circuits
and Systems (ICECS). IEEE; 2025. doi:10.1109/ICECS66544.2025.11270577'
apa: Weizel, M., Gudyriev, S., Zazzi, A., Müller, J., Schwabe, T., Witzens, J.,
& Scheytt, J. C. (2025). High Voltage (5Vpp) Driver Monolithically Integrated
with Thermally Tunable Optical Ring Resonators in a Silicon Photonics Technology.
2025 32nd IEEE International Conference on Electronics, Circuits and Systems
(ICECS). https://doi.org/10.1109/ICECS66544.2025.11270577
bibtex: '@inproceedings{Weizel_Gudyriev_Zazzi_Müller_Schwabe_Witzens_Scheytt_2025,
title={High Voltage (5Vpp) Driver Monolithically Integrated with Thermally Tunable
Optical Ring Resonators in a Silicon Photonics Technology}, DOI={10.1109/ICECS66544.2025.11270577},
booktitle={2025 32nd IEEE International Conference on Electronics, Circuits and
Systems (ICECS)}, publisher={IEEE}, author={Weizel, Maxim and Gudyriev, Sergiy
and Zazzi, Andrea and Müller, Juliana and Schwabe, Tobias and Witzens, Jeremy
and Scheytt, J. Christoph}, year={2025} }'
chicago: Weizel, Maxim, Sergiy Gudyriev, Andrea Zazzi, Juliana Müller, Tobias Schwabe,
Jeremy Witzens, and J. Christoph Scheytt. “High Voltage (5Vpp) Driver Monolithically
Integrated with Thermally Tunable Optical Ring Resonators in a Silicon Photonics
Technology.” In 2025 32nd IEEE International Conference on Electronics, Circuits
and Systems (ICECS). IEEE, 2025. https://doi.org/10.1109/ICECS66544.2025.11270577.
ieee: 'M. Weizel et al., “High Voltage (5Vpp) Driver Monolithically Integrated
with Thermally Tunable Optical Ring Resonators in a Silicon Photonics Technology,”
Marrakesh, Morocco, 2025, doi: 10.1109/ICECS66544.2025.11270577.'
mla: Weizel, Maxim, et al. “High Voltage (5Vpp) Driver Monolithically Integrated
with Thermally Tunable Optical Ring Resonators in a Silicon Photonics Technology.”
2025 32nd IEEE International Conference on Electronics, Circuits and Systems
(ICECS), IEEE, 2025, doi:10.1109/ICECS66544.2025.11270577.
short: 'M. Weizel, S. Gudyriev, A. Zazzi, J. Müller, T. Schwabe, J. Witzens, J.C.
Scheytt, in: 2025 32nd IEEE International Conference on Electronics, Circuits
and Systems (ICECS), IEEE, 2025.'
conference:
location: Marrakesh, Morocco
date_created: 2025-11-20T12:12:16Z
date_updated: 2025-12-10T09:27:15Z
department:
- _id: '58'
doi: 10.1109/ICECS66544.2025.11270577
language:
- iso: eng
project:
- _id: '303'
name: 'SPP 2111; TP: Ultrabreitbandiger Photonisch-Elektronischer Analog-Digital-Wandler
(PACE) - Phase 2'
- _id: '298'
name: 'FOR 2863: Metrologie für die THz Kommunikation (Meteracom)'
- _id: '308'
name: 'FOR 2863: Metrologie für die THz Kommunikation, TP: Ultrabreitbandige Abtastung'
- _id: '313'
name: 'FOR 2863: Metrologie für die THz Kommunikation, TP C3: Skalierbares THz
Transceiver Impairment Modell'
publication: 2025 32nd IEEE International Conference on Electronics, Circuits and
Systems (ICECS)
publisher: IEEE
status: public
title: High Voltage (5Vpp) Driver Monolithically Integrated with Thermally Tunable
Optical Ring Resonators in a Silicon Photonics Technology
type: conference
user_id: '44271'
year: '2025'
...
---
_id: '63054'
author:
- first_name: Guilherme Henrique
full_name: Apostolo, Guilherme Henrique
last_name: Apostolo
- first_name: Pablo
full_name: Bauszat, Pablo
last_name: Bauszat
- first_name: Vinod
full_name: Nigade, Vinod
last_name: Nigade
- first_name: Henri E.
full_name: Bal, Henri E.
last_name: Bal
- first_name: Lin
full_name: Wang, Lin
id: '102868'
last_name: Wang
orcid: 0000-0001-7181-6128
citation:
ama: 'Apostolo GH, Bauszat P, Nigade V, Bal HE, Wang L. Uirapuru: Timely Video Analytics
for High-Resolution Steerable Cameras on Edge Devices. In: Proceedings of the
31st Annual International Conference on Mobile Computing and Networking (MobiCom).
ACM; 2025. doi:10.1145/3680207.3765260'
apa: 'Apostolo, G. H., Bauszat, P., Nigade, V., Bal, H. E., & Wang, L. (2025).
Uirapuru: Timely Video Analytics for High-Resolution Steerable Cameras on Edge
Devices. Proceedings of the 31st Annual International Conference on Mobile
Computing and Networking (MobiCom). 31st Annual International Conference on
Mobile Computing and Networking (MobiCom), Hong Kong, China. https://doi.org/10.1145/3680207.3765260'
bibtex: '@inproceedings{Apostolo_Bauszat_Nigade_Bal_Wang_2025, title={Uirapuru:
Timely Video Analytics for High-Resolution Steerable Cameras on Edge Devices},
DOI={10.1145/3680207.3765260},
booktitle={Proceedings of the 31st Annual International Conference on Mobile Computing
and Networking (MobiCom)}, publisher={ACM}, author={Apostolo, Guilherme Henrique
and Bauszat, Pablo and Nigade, Vinod and Bal, Henri E. and Wang, Lin}, year={2025}
}'
chicago: 'Apostolo, Guilherme Henrique, Pablo Bauszat, Vinod Nigade, Henri E. Bal,
and Lin Wang. “Uirapuru: Timely Video Analytics for High-Resolution Steerable
Cameras on Edge Devices.” In Proceedings of the 31st Annual International Conference
on Mobile Computing and Networking (MobiCom). ACM, 2025. https://doi.org/10.1145/3680207.3765260.'
ieee: 'G. H. Apostolo, P. Bauszat, V. Nigade, H. E. Bal, and L. Wang, “Uirapuru:
Timely Video Analytics for High-Resolution Steerable Cameras on Edge Devices,”
presented at the 31st Annual International Conference on Mobile Computing and
Networking (MobiCom), Hong Kong, China, 2025, doi: 10.1145/3680207.3765260.'
mla: 'Apostolo, Guilherme Henrique, et al. “Uirapuru: Timely Video Analytics for
High-Resolution Steerable Cameras on Edge Devices.” Proceedings of the 31st
Annual International Conference on Mobile Computing and Networking (MobiCom),
ACM, 2025, doi:10.1145/3680207.3765260.'
short: 'G.H. Apostolo, P. Bauszat, V. Nigade, H.E. Bal, L. Wang, in: Proceedings
of the 31st Annual International Conference on Mobile Computing and Networking
(MobiCom), ACM, 2025.'
conference:
end_date: 2025-11-08
location: Hong Kong, China
name: 31st Annual International Conference on Mobile Computing and Networking (MobiCom)
start_date: 2025-11-04
date_created: 2025-12-12T08:06:10Z
date_updated: 2025-12-12T08:08:49Z
department:
- _id: '34'
- _id: '7'
- _id: '75'
doi: 10.1145/3680207.3765260
language:
- iso: eng
publication: Proceedings of the 31st Annual International Conference on Mobile Computing
and Networking (MobiCom)
publication_status: published
publisher: ACM
status: public
title: 'Uirapuru: Timely Video Analytics for High-Resolution Steerable Cameras on
Edge Devices'
type: conference
user_id: '102868'
year: '2025'
...
---
_id: '63057'
author:
- first_name: Qiangyu
full_name: Pei, Qiangyu
last_name: Pei
- first_name: Yongjie
full_name: Yuan, Yongjie
last_name: Yuan
- first_name: Haichuan
full_name: Hu, Haichuan
last_name: Hu
- first_name: Lin
full_name: Wang, Lin
id: '102868'
last_name: Wang
orcid: 0000-0001-7181-6128
- first_name: Dong
full_name: Zhang, Dong
last_name: Zhang
- first_name: Bingheng
full_name: Yan, Bingheng
last_name: Yan
- first_name: Chen
full_name: Yu, Chen
last_name: Yu
- first_name: Fangming
full_name: Liu, Fangming
last_name: Liu
citation:
ama: 'Pei Q, Yuan Y, Hu H, et al. Working Smarter Not Harder: Hybrid Cooling for
Deep Learning in Edge Datacenters. IEEE Transactions on Sustainable Computing.
2025;10(4):804-819. doi:10.1109/tsusc.2025.3542563'
apa: 'Pei, Q., Yuan, Y., Hu, H., Wang, L., Zhang, D., Yan, B., Yu, C., & Liu,
F. (2025). Working Smarter Not Harder: Hybrid Cooling for Deep Learning in Edge
Datacenters. IEEE Transactions on Sustainable Computing, 10(4),
804–819. https://doi.org/10.1109/tsusc.2025.3542563'
bibtex: '@article{Pei_Yuan_Hu_Wang_Zhang_Yan_Yu_Liu_2025, title={Working Smarter
Not Harder: Hybrid Cooling for Deep Learning in Edge Datacenters}, volume={10},
DOI={10.1109/tsusc.2025.3542563},
number={4}, journal={IEEE Transactions on Sustainable Computing}, publisher={Institute
of Electrical and Electronics Engineers (IEEE)}, author={Pei, Qiangyu and Yuan,
Yongjie and Hu, Haichuan and Wang, Lin and Zhang, Dong and Yan, Bingheng and Yu,
Chen and Liu, Fangming}, year={2025}, pages={804–819} }'
chicago: 'Pei, Qiangyu, Yongjie Yuan, Haichuan Hu, Lin Wang, Dong Zhang, Bingheng
Yan, Chen Yu, and Fangming Liu. “Working Smarter Not Harder: Hybrid Cooling for
Deep Learning in Edge Datacenters.” IEEE Transactions on Sustainable Computing
10, no. 4 (2025): 804–19. https://doi.org/10.1109/tsusc.2025.3542563.'
ieee: 'Q. Pei et al., “Working Smarter Not Harder: Hybrid Cooling for Deep
Learning in Edge Datacenters,” IEEE Transactions on Sustainable Computing,
vol. 10, no. 4, pp. 804–819, 2025, doi: 10.1109/tsusc.2025.3542563.'
mla: 'Pei, Qiangyu, et al. “Working Smarter Not Harder: Hybrid Cooling for Deep
Learning in Edge Datacenters.” IEEE Transactions on Sustainable Computing,
vol. 10, no. 4, Institute of Electrical and Electronics Engineers (IEEE), 2025,
pp. 804–19, doi:10.1109/tsusc.2025.3542563.'
short: Q. Pei, Y. Yuan, H. Hu, L. Wang, D. Zhang, B. Yan, C. Yu, F. Liu, IEEE Transactions
on Sustainable Computing 10 (2025) 804–819.
date_created: 2025-12-12T08:13:53Z
date_updated: 2025-12-12T08:14:11Z
department:
- _id: '34'
- _id: '7'
- _id: '75'
doi: 10.1109/tsusc.2025.3542563
intvolume: ' 10'
issue: '4'
language:
- iso: eng
page: 804-819
publication: IEEE Transactions on Sustainable Computing
publication_identifier:
issn:
- 2377-3782
- 2377-3790
publication_status: published
publisher: Institute of Electrical and Electronics Engineers (IEEE)
status: public
title: 'Working Smarter Not Harder: Hybrid Cooling for Deep Learning in Edge Datacenters'
type: journal_article
user_id: '102868'
volume: 10
year: '2025'
...
---
_id: '63056'
author:
- first_name: Jing
full_name: Wu, Jing
last_name: Wu
- first_name: Lin
full_name: Wang, Lin
id: '102868'
last_name: Wang
orcid: 0000-0001-7181-6128
- first_name: Quanfeng
full_name: Deng, Quanfeng
last_name: Deng
- first_name: Chen
full_name: Yu, Chen
last_name: Yu
- first_name: Dong
full_name: Zhang, Dong
last_name: Zhang
- first_name: Bingheng
full_name: Yan, Bingheng
last_name: Yan
- first_name: Fangming
full_name: Liu, Fangming
last_name: Liu
citation:
ama: 'Wu J, Wang L, Deng Q, et al. It Takes Two to Tango: Serverless Workflow Serving
via Bilaterally Engaged Resource Adaptation. In: 2025 IEEE International Parallel
and Distributed Processing Symposium (IPDPS). IEEE; 2025. doi:10.1109/ipdps64566.2025.00012'
apa: 'Wu, J., Wang, L., Deng, Q., Yu, C., Zhang, D., Yan, B., & Liu, F. (2025).
It Takes Two to Tango: Serverless Workflow Serving via Bilaterally Engaged Resource
Adaptation. 2025 IEEE International Parallel and Distributed Processing Symposium
(IPDPS). 2025 IEEE International Parallel and Distributed Processing Symposium
(IPDPS), Milan, Italy. https://doi.org/10.1109/ipdps64566.2025.00012'
bibtex: '@inproceedings{Wu_Wang_Deng_Yu_Zhang_Yan_Liu_2025, title={It Takes Two
to Tango: Serverless Workflow Serving via Bilaterally Engaged Resource Adaptation},
DOI={10.1109/ipdps64566.2025.00012},
booktitle={2025 IEEE International Parallel and Distributed Processing Symposium
(IPDPS)}, publisher={IEEE}, author={Wu, Jing and Wang, Lin and Deng, Quanfeng
and Yu, Chen and Zhang, Dong and Yan, Bingheng and Liu, Fangming}, year={2025}
}'
chicago: 'Wu, Jing, Lin Wang, Quanfeng Deng, Chen Yu, Dong Zhang, Bingheng Yan,
and Fangming Liu. “It Takes Two to Tango: Serverless Workflow Serving via Bilaterally
Engaged Resource Adaptation.” In 2025 IEEE International Parallel and Distributed
Processing Symposium (IPDPS). IEEE, 2025. https://doi.org/10.1109/ipdps64566.2025.00012.'
ieee: 'J. Wu et al., “It Takes Two to Tango: Serverless Workflow Serving
via Bilaterally Engaged Resource Adaptation,” presented at the 2025 IEEE International
Parallel and Distributed Processing Symposium (IPDPS), Milan, Italy, 2025, doi:
10.1109/ipdps64566.2025.00012.'
mla: 'Wu, Jing, et al. “It Takes Two to Tango: Serverless Workflow Serving via Bilaterally
Engaged Resource Adaptation.” 2025 IEEE International Parallel and Distributed
Processing Symposium (IPDPS), IEEE, 2025, doi:10.1109/ipdps64566.2025.00012.'
short: 'J. Wu, L. Wang, Q. Deng, C. Yu, D. Zhang, B. Yan, F. Liu, in: 2025 IEEE
International Parallel and Distributed Processing Symposium (IPDPS), IEEE, 2025.'
conference:
location: Milan, Italy
name: 2025 IEEE International Parallel and Distributed Processing Symposium (IPDPS)
date_created: 2025-12-12T08:12:48Z
date_updated: 2025-12-12T08:13:18Z
department:
- _id: '34'
- _id: '7'
- _id: '75'
doi: 10.1109/ipdps64566.2025.00012
language:
- iso: eng
publication: 2025 IEEE International Parallel and Distributed Processing Symposium
(IPDPS)
publication_status: published
publisher: IEEE
status: public
title: 'It Takes Two to Tango: Serverless Workflow Serving via Bilaterally Engaged
Resource Adaptation'
type: conference
user_id: '102868'
year: '2025'
...
---
_id: '63053'
author:
- first_name: Carlos
full_name: Hernández, Carlos
last_name: Hernández
- first_name: Angel E.
full_name: Rodriguez-Fernandez, Angel E.
last_name: Rodriguez-Fernandez
- first_name: Lennart
full_name: Schäpermeier, Lennart
last_name: Schäpermeier
- first_name: Oliver
full_name: Cuate, Oliver
last_name: Cuate
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
- first_name: Oliver
full_name: Schütze, Oliver
last_name: Schütze
citation:
ama: Hernández C, Rodriguez-Fernandez AE, Schäpermeier L, Cuate O, Trautmann H,
Schütze O. An Evolutionary Approach for the Computation of ∈-Locally Optimal Solutions
for Multi-Objective Multimodal Optimization. IEEE Transactions on Evolutionary
Computation. Published online 2025:1-1. doi:10.1109/TEVC.2025.3637276
apa: Hernández, C., Rodriguez-Fernandez, A. E., Schäpermeier, L., Cuate, O., Trautmann,
H., & Schütze, O. (2025). An Evolutionary Approach for the Computation of
∈-Locally Optimal Solutions for Multi-Objective Multimodal Optimization. IEEE
Transactions on Evolutionary Computation, 1–1. https://doi.org/10.1109/TEVC.2025.3637276
bibtex: '@article{Hernández_Rodriguez-Fernandez_Schäpermeier_Cuate_Trautmann_Schütze_2025,
title={An Evolutionary Approach for the Computation of ∈-Locally Optimal Solutions
for Multi-Objective Multimodal Optimization}, DOI={10.1109/TEVC.2025.3637276},
journal={IEEE Transactions on Evolutionary Computation}, author={Hernández, Carlos
and Rodriguez-Fernandez, Angel E. and Schäpermeier, Lennart and Cuate, Oliver
and Trautmann, Heike and Schütze, Oliver}, year={2025}, pages={1–1} }'
chicago: Hernández, Carlos, Angel E. Rodriguez-Fernandez, Lennart Schäpermeier,
Oliver Cuate, Heike Trautmann, and Oliver Schütze. “An Evolutionary Approach for
the Computation of ∈-Locally Optimal Solutions for Multi-Objective Multimodal
Optimization.” IEEE Transactions on Evolutionary Computation, 2025, 1–1.
https://doi.org/10.1109/TEVC.2025.3637276.
ieee: 'C. Hernández, A. E. Rodriguez-Fernandez, L. Schäpermeier, O. Cuate, H. Trautmann,
and O. Schütze, “An Evolutionary Approach for the Computation of ∈-Locally Optimal
Solutions for Multi-Objective Multimodal Optimization,” IEEE Transactions on
Evolutionary Computation, pp. 1–1, 2025, doi: 10.1109/TEVC.2025.3637276.'
mla: Hernández, Carlos, et al. “An Evolutionary Approach for the Computation of
∈-Locally Optimal Solutions for Multi-Objective Multimodal Optimization.” IEEE
Transactions on Evolutionary Computation, 2025, pp. 1–1, doi:10.1109/TEVC.2025.3637276.
short: C. Hernández, A.E. Rodriguez-Fernandez, L. Schäpermeier, O. Cuate, H. Trautmann,
O. Schütze, IEEE Transactions on Evolutionary Computation (2025) 1–1.
date_created: 2025-12-12T06:13:06Z
date_updated: 2025-12-12T06:13:51Z
department:
- _id: '819'
doi: 10.1109/TEVC.2025.3637276
keyword:
- Optimization
- Evolutionary computation
- Hands
- Proposals
- Convergence
- Computational efficiency
- Artificial intelligence
- Accuracy
- Approximation algorithms
- Aerospace electronics
- Multi-objective optimization
- evolutionary algorithms
- nearly optimal solutions
- multimodal optimization
- archiving
- continuation
language:
- iso: eng
page: 1-1
publication: IEEE Transactions on Evolutionary Computation
status: public
title: An Evolutionary Approach for the Computation of ∈-Locally Optimal Solutions
for Multi-Objective Multimodal Optimization
type: journal_article
user_id: '15504'
year: '2025'
...
---
_id: '63036'
author:
- first_name: Sebastian
full_name: Rezat, Sebastian
id: '31132'
last_name: Rezat
- first_name: Dubravka
full_name: Glasnović Gracin, Dubravka
last_name: Glasnović Gracin
- first_name: Hendrik
full_name: Van Steenbrugge, Hendrik
last_name: Van Steenbrugge
- first_name: Henning
full_name: Sievert, Henning
last_name: Sievert
citation:
ama: 'Rezat S, Glasnović Gracin D, Van Steenbrugge H, Sievert H. The quality of
print and digital mathematics curriculum resources. In: Pepin B, Kohanová I, Langfeldt
MB, eds. Proceedings of the Fifth International Conference on Mathematics Textbook
Research and Development. Norwegian University of Science and Technology.;
2025:72–91.'
apa: Rezat, S., Glasnović Gracin, D., Van Steenbrugge, H., & Sievert, H. (2025).
The quality of print and digital mathematics curriculum resources. In B. Pepin,
I. Kohanová, & M. B. Langfeldt (Eds.), Proceedings of the Fifth International
Conference on Mathematics Textbook Research and Development. (pp. 72–91).
Norwegian University of Science and Technology.
bibtex: '@inproceedings{Rezat_Glasnović Gracin_Van Steenbrugge_Sievert_2025, title={The
quality of print and digital mathematics curriculum resources}, booktitle={Proceedings
of the Fifth International Conference on Mathematics Textbook Research and Development.},
publisher={Norwegian University of Science and Technology.}, author={Rezat, Sebastian
and Glasnović Gracin, Dubravka and Van Steenbrugge, Hendrik and Sievert, Henning},
editor={Pepin, Birgit and Kohanová, Iveta and Langfeldt, Marit Buset}, year={2025},
pages={72–91} }'
chicago: Rezat, Sebastian, Dubravka Glasnović Gracin, Hendrik Van Steenbrugge, and
Henning Sievert. “The Quality of Print and Digital Mathematics Curriculum Resources.”
In Proceedings of the Fifth International Conference on Mathematics Textbook
Research and Development., edited by Birgit Pepin, Iveta Kohanová, and Marit
Buset Langfeldt, 72–91. Norwegian University of Science and Technology., 2025.
ieee: S. Rezat, D. Glasnović Gracin, H. Van Steenbrugge, and H. Sievert, “The quality
of print and digital mathematics curriculum resources,” in Proceedings of the
Fifth International Conference on Mathematics Textbook Research and Development.,
Trondheim, Norway, 2025, pp. 72–91.
mla: Rezat, Sebastian, et al. “The Quality of Print and Digital Mathematics Curriculum
Resources.” Proceedings of the Fifth International Conference on Mathematics
Textbook Research and Development., edited by Birgit Pepin et al., Norwegian
University of Science and Technology., 2025, pp. 72–91.
short: 'S. Rezat, D. Glasnović Gracin, H. Van Steenbrugge, H. Sievert, in: B. Pepin,
I. Kohanová, M.B. Langfeldt (Eds.), Proceedings of the Fifth International Conference
on Mathematics Textbook Research and Development., Norwegian University of Science
and Technology., 2025, pp. 72–91.'
conference:
end_date: 2025-06-20
location: Trondheim, Norway
name: Fifth International Conference on Mathematics Textbook Research and Development
(ICMT5)
start_date: 2025-06-17
date_created: 2025-12-11T15:36:37Z
date_updated: 2025-12-12T10:15:57Z
ddc:
- '370'
department:
- _id: '360'
editor:
- first_name: Birgit
full_name: Pepin, Birgit
last_name: Pepin
- first_name: Iveta
full_name: Kohanová, Iveta
last_name: Kohanová
- first_name: Marit Buset
full_name: Langfeldt, Marit Buset
last_name: Langfeldt
file:
- access_level: closed
content_type: application/pdf
creator: srezat
date_created: 2025-12-11T15:39:27Z
date_updated: 2025-12-11T15:39:27Z
file_id: '63037'
file_name: Proceedings ICMT5 december 2026 Seiten 85-104.pdf
file_size: 724455
relation: main_file
success: 1
file_date_updated: 2025-12-11T15:39:27Z
has_accepted_license: '1'
language:
- iso: eng
page: 72–91
publication: Proceedings of the Fifth International Conference on Mathematics Textbook
Research and Development.
publication_identifier:
isbn:
- 978-82-691902-2-9
publication_status: published
publisher: Norwegian University of Science and Technology.
status: public
title: The quality of print and digital mathematics curriculum resources
type: conference
user_id: '31132'
year: '2025'
...
---
_id: '63034'
author:
- first_name: Lea
full_name: Stallmeister, Lea
id: '63369'
last_name: Stallmeister
- first_name: Sebastian
full_name: Rezat, Sebastian
id: '31132'
last_name: Rezat
citation:
ama: 'Stallmeister L, Rezat S. Students’ use of different material resources for
specific purposes in the process of learning mathematics. In: Pepin B, Kohanová
I, Langfeldt MB, eds. Proceedings of the Fifth International Conference on
Mathematics Textbook Research and Development. Norwegian University of Science
and Technology; 2025.'
apa: Stallmeister, L., & Rezat, S. (2025). Students’ use of different material
resources for specific purposes in the process of learning mathematics. In B.
Pepin, I. Kohanová, & M. B. Langfeldt (Eds.), Proceedings of the Fifth
International Conference on Mathematics Textbook Research and Development.
Norwegian University of Science and Technology.
bibtex: '@inproceedings{Stallmeister_Rezat_2025, title={Students’ use of different
material resources for specific purposes in the process of learning mathematics},
booktitle={Proceedings of the Fifth International Conference on Mathematics Textbook
Research and Development}, publisher={Norwegian University of Science and Technology},
author={Stallmeister, Lea and Rezat, Sebastian}, editor={Pepin, Birgit and Kohanová,
Iveta and Langfeldt, Marit Buset}, year={2025} }'
chicago: Stallmeister, Lea, and Sebastian Rezat. “Students’ Use of Different Material
Resources for Specific Purposes in the Process of Learning Mathematics.” In Proceedings
of the Fifth International Conference on Mathematics Textbook Research and Development,
edited by Birgit Pepin, Iveta Kohanová, and Marit Buset Langfeldt. Norwegian University
of Science and Technology, 2025.
ieee: L. Stallmeister and S. Rezat, “Students’ use of different material resources
for specific purposes in the process of learning mathematics,” in Proceedings
of the Fifth International Conference on Mathematics Textbook Research and Development,
Trondheim, Norway, 2025.
mla: Stallmeister, Lea, and Sebastian Rezat. “Students’ Use of Different Material
Resources for Specific Purposes in the Process of Learning Mathematics.” Proceedings
of the Fifth International Conference on Mathematics Textbook Research and Development,
edited by Birgit Pepin et al., Norwegian University of Science and Technology,
2025.
short: 'L. Stallmeister, S. Rezat, in: B. Pepin, I. Kohanová, M.B. Langfeldt (Eds.),
Proceedings of the Fifth International Conference on Mathematics Textbook Research
and Development, Norwegian University of Science and Technology, 2025.'
conference:
end_date: 2025-06-20
location: Trondheim, Norway
name: Fifth International Conference on Mathematics Textbook Research and Development
start_date: 2025-06-17
date_created: 2025-12-11T13:15:07Z
date_updated: 2025-12-12T10:17:46Z
department:
- _id: '98'
editor:
- first_name: Birgit
full_name: Pepin, Birgit
last_name: Pepin
- first_name: Iveta
full_name: Kohanová, Iveta
last_name: Kohanová
- first_name: Marit Buset
full_name: Langfeldt, Marit Buset
last_name: Langfeldt
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.ntnu.edu/documents/1317903369/0/Proceedings+ICMT5+december+2026.pdf
oa: '1'
publication: Proceedings of the Fifth International Conference on Mathematics Textbook
Research and Development
publication_identifier:
isbn:
- 978-82-691902-2-9
publication_status: published
publisher: Norwegian University of Science and Technology
status: public
title: Students’ use of different material resources for specific purposes in the
process of learning mathematics
type: conference
user_id: '31132'
year: '2025'
...
---
_id: '63058'
author:
- first_name: Saeid
full_name: Ghafouri, Saeid
last_name: Ghafouri
- first_name: Kamran
full_name: Razavi, Kamran
last_name: Razavi
- first_name: Mehran
full_name: Salmani, Mehran
last_name: Salmani
- first_name: Alireza
full_name: Sanaee, Alireza
last_name: Sanaee
- first_name: Tania Lorido
full_name: Botran, Tania Lorido
last_name: Botran
- first_name: Lin
full_name: Wang, Lin
id: '102868'
last_name: Wang
orcid: 0000-0001-7181-6128
- first_name: Joseph
full_name: Doyle, Joseph
last_name: Doyle
- first_name: Pooyan
full_name: Jamshidi, Pooyan
last_name: Jamshidi
citation:
ama: 'Ghafouri S, Razavi K, Salmani M, et al. IPA: Inference Pipeline Adaptation
to Achieve High Accuracy and Cost-Efficiency. In: Companion of the 16th ACM/SPEC
International Conference on Performance Engineering. ACM; 2025. doi:10.1145/3680256.3721266'
apa: 'Ghafouri, S., Razavi, K., Salmani, M., Sanaee, A., Botran, T. L., Wang, L.,
Doyle, J., & Jamshidi, P. (2025). IPA: Inference Pipeline Adaptation to Achieve
High Accuracy and Cost-Efficiency. Companion of the 16th ACM/SPEC International
Conference on Performance Engineering. 16th ACM/SPEC International Conference
on Performance Engineering. https://doi.org/10.1145/3680256.3721266'
bibtex: '@inproceedings{Ghafouri_Razavi_Salmani_Sanaee_Botran_Wang_Doyle_Jamshidi_2025,
title={IPA: Inference Pipeline Adaptation to Achieve High Accuracy and Cost-Efficiency},
DOI={10.1145/3680256.3721266},
booktitle={Companion of the 16th ACM/SPEC International Conference on Performance
Engineering}, publisher={ACM}, author={Ghafouri, Saeid and Razavi, Kamran and
Salmani, Mehran and Sanaee, Alireza and Botran, Tania Lorido and Wang, Lin and
Doyle, Joseph and Jamshidi, Pooyan}, year={2025} }'
chicago: 'Ghafouri, Saeid, Kamran Razavi, Mehran Salmani, Alireza Sanaee, Tania
Lorido Botran, Lin Wang, Joseph Doyle, and Pooyan Jamshidi. “IPA: Inference Pipeline
Adaptation to Achieve High Accuracy and Cost-Efficiency.” In Companion of the
16th ACM/SPEC International Conference on Performance Engineering. ACM, 2025.
https://doi.org/10.1145/3680256.3721266.'
ieee: 'S. Ghafouri et al., “IPA: Inference Pipeline Adaptation to Achieve
High Accuracy and Cost-Efficiency,” presented at the 16th ACM/SPEC International
Conference on Performance Engineering, 2025, doi: 10.1145/3680256.3721266.'
mla: 'Ghafouri, Saeid, et al. “IPA: Inference Pipeline Adaptation to Achieve High
Accuracy and Cost-Efficiency.” Companion of the 16th ACM/SPEC International
Conference on Performance Engineering, ACM, 2025, doi:10.1145/3680256.3721266.'
short: 'S. Ghafouri, K. Razavi, M. Salmani, A. Sanaee, T.L. Botran, L. Wang, J.
Doyle, P. Jamshidi, in: Companion of the 16th ACM/SPEC International Conference
on Performance Engineering, ACM, 2025.'
conference:
name: 16th ACM/SPEC International Conference on Performance Engineering
date_created: 2025-12-12T08:14:50Z
date_updated: 2025-12-12T08:18:15Z
department:
- _id: '34'
- _id: '7'
- _id: '75'
doi: 10.1145/3680256.3721266
language:
- iso: eng
publication: Companion of the 16th ACM/SPEC International Conference on Performance
Engineering
publication_status: published
publisher: ACM
status: public
title: 'IPA: Inference Pipeline Adaptation to Achieve High Accuracy and Cost-Efficiency'
type: conference
user_id: '102868'
year: '2025'
...
---
_id: '60196'
abstract:
- lang: eng
text: 'This paper examines the governance and quality control of digital curriculum
resources (DCR) for K-12 mathematics education in Germany. It focuses on approval
processes and criteria set by the 16 federal states, arguing that these have the
potential to influence the development of DCR. Using qualitative content analysis,
the study explores three research questions: which DCR require official approval,
the criteria applied for approval, and the extent to which these criteria are
mathematics-specific. Findings indicate that 10 federal states maintain official
approval systems, covering digital equivalents of printed textbooks and selected
supplemental materials. However, most DCR fall outside these regulated processes,
leaving their evaluation largely to individual schools and teachers. The study
identifies 17 categories of quality criteria, but reveals a lack of detailed,
mathematics-specific requirements. Instead, many criteria are broad references
to didactical principles and educational goals, leaving the interpretation and
application of these quality standards open-ended. Subject-specific criteria are
included but remain limited in specificity. The study underscores the need for
research-informed, mathematics-specific quality standards to guide DCR development
and approval, emphasizing their importance amidst challenges like artificial intelligence.
Policymakers are urged to adopt clearer criteria to ensure high-quality DCR to
be used in schools.'
article_type: original
author:
- first_name: Sebastian
full_name: Rezat, Sebastian
id: '31132'
last_name: Rezat
citation:
ama: Rezat S. The quality of digital curriculum resources for mathematics in German
educational policy. ZDM – Mathematics Education. 2025;57:891–904. doi:10.1007/s11858-025-01708-w
apa: Rezat, S. (2025). The quality of digital curriculum resources for mathematics
in German educational policy. ZDM – Mathematics Education, 57, 891–904.
https://doi.org/10.1007/s11858-025-01708-w
bibtex: '@article{Rezat_2025, title={The quality of digital curriculum resources
for mathematics in German educational policy}, volume={57}, DOI={10.1007/s11858-025-01708-w},
journal={ZDM – Mathematics Education}, publisher={Springer Science and Business
Media LLC}, author={Rezat, Sebastian}, year={2025}, pages={891–904} }'
chicago: 'Rezat, Sebastian. “The Quality of Digital Curriculum Resources for Mathematics
in German Educational Policy.” ZDM – Mathematics Education 57 (2025): 891–904.
https://doi.org/10.1007/s11858-025-01708-w.'
ieee: 'S. Rezat, “The quality of digital curriculum resources for mathematics in
German educational policy,” ZDM – Mathematics Education, vol. 57, pp. 891–904,
2025, doi: 10.1007/s11858-025-01708-w.'
mla: Rezat, Sebastian. “The Quality of Digital Curriculum Resources for Mathematics
in German Educational Policy.” ZDM – Mathematics Education, vol. 57, Springer
Science and Business Media LLC, 2025, pp. 891–904, doi:10.1007/s11858-025-01708-w.
short: S. Rezat, ZDM – Mathematics Education 57 (2025) 891–904.
date_created: 2025-06-12T14:21:07Z
date_updated: 2025-12-16T14:32:27Z
ddc:
- '370'
department:
- _id: '360'
doi: 10.1007/s11858-025-01708-w
file:
- access_level: closed
content_type: application/pdf
creator: srezat
date_created: 2025-06-12T14:23:07Z
date_updated: 2025-06-12T14:23:07Z
file_id: '60197'
file_name: s11858-025-01708-w.pdf
file_size: 1296774
relation: main_file
success: 1
file_date_updated: 2025-06-12T14:23:07Z
has_accepted_license: '1'
intvolume: ' 57'
keyword:
- governance
- digital curriculum resources
- digital textbooks
- digital curriculum materials
- quality
language:
- iso: eng
page: ' 891–904'
publication: ZDM – Mathematics Education
publication_identifier:
issn:
- 1863-9690
- 1863-9704
publication_status: published
publisher: Springer Science and Business Media LLC
quality_controlled: '1'
status: public
title: The quality of digital curriculum resources for mathematics in German educational
policy
type: journal_article
user_id: '31132'
volume: 57
year: '2025'
...