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5685 Publications
2023 | Conference Paper | LibreCat-ID: 34138
The Optimal Depth of Variational Quantum Algorithms Is QCMA-Hard to Approximate
L. Bittel, S. Gharibian, M. Kliesch, in: Proceedings of the 38th Computational Complexity Conference (CCC), 2023, p. 34:1-34:24.
LibreCat
| DOI
| arXiv
L. Bittel, S. Gharibian, M. Kliesch, in: Proceedings of the 38th Computational Complexity Conference (CCC), 2023, p. 34:1-34:24.
2023 | Dissertation | LibreCat-ID: 45781
On Cloud Assisted, Restricted, and Reosurce Constrained Scheduling
S. Pukrop, On Cloud Assisted, Restricted, and Reosurce Constrained Scheduling, 2023.
LibreCat
| DOI
S. Pukrop, On Cloud Assisted, Restricted, and Reosurce Constrained Scheduling, 2023.
2023 | Bachelorsthesis | LibreCat-ID: 46053
Utilizing Redundancy in Distributed Heterogeneous Storage
F. Schneider, Utilizing Redundancy in Distributed Heterogeneous Storage, 2023.
LibreCat
| Files available
F. Schneider, Utilizing Redundancy in Distributed Heterogeneous Storage, 2023.
2023 | Mastersthesis | LibreCat-ID: 46075
Reconfigurable Random Forest Implementation on FPGA
M. Raeisi Nafchi, Reconfigurable Random Forest Implementation on FPGA, 2023.
LibreCat
M. Raeisi Nafchi, Reconfigurable Random Forest Implementation on FPGA, 2023.
2023 | Mastersthesis | LibreCat-ID: 46087
Graph Neural Network-based Anomaly Detection in Smart Grid Energy Consumption
A. Ranade, Graph Neural Network-Based Anomaly Detection in Smart Grid Energy Consumption, 2023.
LibreCat
A. Ranade, Graph Neural Network-Based Anomaly Detection in Smart Grid Energy Consumption, 2023.
2023 | Mastersthesis | LibreCat-ID: 46086
Highly accurate deep compressed facial recognition
O. Ali, Highly Accurate Deep Compressed Facial Recognition, 2023.
LibreCat
O. Ali, Highly Accurate Deep Compressed Facial Recognition, 2023.
2023 | Mastersthesis | LibreCat-ID: 46110
Virtual On-Demand Volunteer System Based on Delaunay Triangulation
N. Ashri, Virtual On-Demand Volunteer System Based on Delaunay Triangulation, 2023.
LibreCat
N. Ashri, Virtual On-Demand Volunteer System Based on Delaunay Triangulation, 2023.
2023 | Journal Article | LibreCat-ID: 38041 | 
Multi-FPGA Designs and Scaling of HPC Challenge Benchmarks via MPI and Circuit-Switched Inter-FPGA Networks
M. Meyer, T. Kenter, C. Plessl, ACM Transactions on Reconfigurable Technology and Systems (2023).
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M. Meyer, T. Kenter, C. Plessl, ACM Transactions on Reconfigurable Technology and Systems (2023).
2023 | Conference Paper | LibreCat-ID: 46190 |
Mutation Tree Reconstruction of Tumor Cells on FPGAs Using a Bit-Level Matrix Representation
J.-O. Opdenhövel, C. Plessl, T. Kenter, in: Proceedings of the 13th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies, ACM, 2023.
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J.-O. Opdenhövel, C. Plessl, T. Kenter, in: Proceedings of the 13th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies, ACM, 2023.
2023 | Mastersthesis | LibreCat-ID: 46221
Improving the End-of-Line Test of Custom-Built Geared Motors using Clustering based on Neural Networks
N. N., Improving the End-of-Line Test of Custom-Built Geared Motors Using Clustering Based on Neural Networks, 2023.
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N. N., Improving the End-of-Line Test of Custom-Built Geared Motors Using Clustering Based on Neural Networks, 2023.
2023 | Journal Article | LibreCat-ID: 46251 |
Neuro-Symbolic Class Expression Learning
C. Demir, A.-C. Ngonga Ngomo, International Joint Conference on Artificial Intelligence (2023).
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| Files available
C. Demir, A.-C. Ngonga Ngomo, International Joint Conference on Artificial Intelligence (2023).
2023 | Conference Paper | LibreCat-ID: 43228
Computing and Compressing Electron Repulsion Integrals on FPGAs
X. Wu, T. Kenter, R. Schade, T. Kühne, C. Plessl, in: 2023 IEEE 31st Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), 2023, pp. 162–173.
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| arXiv
X. Wu, T. Kenter, R. Schade, T. Kühne, C. Plessl, in: 2023 IEEE 31st Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), 2023, pp. 162–173.
2023 | Journal Article | LibreCat-ID: 45361 |
Breaking the exascale barrier for the electronic structure problem in ab-initio molecular dynamics
R. Schade, T. Kenter, H. Elgabarty, M. Lass, T. Kühne, C. Plessl, The International Journal of High Performance Computing Applications (2023).
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R. Schade, T. Kenter, H. Elgabarty, M. Lass, T. Kühne, C. Plessl, The International Journal of High Performance Computing Applications (2023).
2023 | Dissertation | LibreCat-ID: 45780 |
Advanced Algorithm Selection with Machine Learning: Handling Large Algorithm Sets, Learning From Censored Data, and Simplyfing Meta Level Decisions
A. Tornede, Advanced Algorithm Selection with Machine Learning: Handling Large Algorithm Sets, Learning From Censored Data, and Simplyfing Meta Level Decisions, 2023.
LibreCat
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| DOI
A. Tornede, Advanced Algorithm Selection with Machine Learning: Handling Large Algorithm Sets, Learning From Censored Data, and Simplyfing Meta Level Decisions, 2023.
2023 | Book Chapter | LibreCat-ID: 46572
IndQNER: Named Entity Recognition Benchmark Dataset from the Indonesian Translation of the Quran
R.H. Gusmita, A.F. Firmansyah, D. Moussallem, A.-C. Ngonga Ngomo, in: Natural Language Processing and Information Systems, Springer Nature Switzerland, Cham, 2023.
LibreCat
| DOI
R.H. Gusmita, A.F. Firmansyah, D. Moussallem, A.-C. Ngonga Ngomo, in: Natural Language Processing and Information Systems, Springer Nature Switzerland, Cham, 2023.
2023 | Conference Paper | LibreCat-ID: 46575 |
Accelerating Concept Learning via Sampling
A. Baci, S. Heindorf, in: CIKM, 2023.
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| Files available
A. Baci, S. Heindorf, in: CIKM, 2023.
2023 | Preprint | LibreCat-ID: 46579 |
Partial observations, coarse graining and equivariance in Koopman operator theory for large-scale dynamical systems
S. Peitz, H. Harder, F. Nüske, F. Philipp, M. Schaller, K. Worthmann, ArXiv:2307.15325 (2023).
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| arXiv
S. Peitz, H. Harder, F. Nüske, F. Philipp, M. Schaller, K. Worthmann, ArXiv:2307.15325 (2023).
2023 | Journal Article | LibreCat-ID: 23428 |
Finite-data error bounds for Koopman-based prediction and control
F. Nüske, S. Peitz, F. Philipp, M. Schaller, K. Worthmann, Journal of Nonlinear Science 33 (2023).
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F. Nüske, S. Peitz, F. Philipp, M. Schaller, K. Worthmann, Journal of Nonlinear Science 33 (2023).
2023 | Preprint | LibreCat-ID: 46649 |
Multi-Objective Optimization for Sparse Deep Neural Network Training
S.S. Hotegni, S. Peitz, M.B. Berkemeier, ArXiv:2308.12243 (2023).
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| arXiv
S.S. Hotegni, S. Peitz, M.B. Berkemeier, ArXiv:2308.12243 (2023).
2023 | Journal Article | LibreCat-ID: 21600
Efficient time stepping for numerical integration using reinforcement learning
M. Dellnitz, E. Hüllermeier, M. Lücke, S. Ober-Blöbaum, C. Offen, S. Peitz, K. Pfannschmidt, SIAM Journal on Scientific Computing 45 (2023) A579–A595.
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| DOI
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| arXiv
M. Dellnitz, E. Hüllermeier, M. Lücke, S. Ober-Blöbaum, C. Offen, S. Peitz, K. Pfannschmidt, SIAM Journal on Scientific Computing 45 (2023) A579–A595.