@article{53072,
  abstract     = {{Negated statements require more processing efforts than assertions. However, in certain contexts, repeating negations undergo adaptation, which over time mitigates the effort.
Here, we ask negations hamper visual processing and whether consecutive repetitions mitigate its influence. 
We assessed the overall attentional capacity and its distribution, the relative weight, quantitatively using 
the formal Theory of Visual Attention (TVA).
We employed a very simple form for negations, binary negations. Negated instructions, expressing the only alternative to the core supposition, were cognitively demanding, resulting in a loss of attentional capacity in three experiments. The overall attentional capacity recovered gradually but stagnated at a lower level than with assertions, even after many repetitions. Additionally, negations distributed the attention equally between target and reference stimulus. Repetitions slightly increased the reference' share of attention. Assertions, on the other hand, shifted the attentional weight towards the target. Few repetitions slightly decreased the bias towards the target, many repetitions increased the bias.}},
  author       = {{Banh, Ngoc Chi and Tünnermann, Jan and Rohlfing, Katharina J. and Scharlau, Ingrid}},
  journal      = {{Frontiers in Psychology}},
  title        = {{{Benefiting from Binary Negations? Verbal Negations Decrease Visual Attention and Balance Its Distribution}}},
  doi          = {{10.3389/fpsyg.2024.1451309}},
  volume       = {{15}},
  year         = {{2024}},
}

@article{57839,
  abstract     = {{<jats:title>Abstract</jats:title>
               <jats:p>Experiments with ultracold atoms in optical lattices usually involve a weak parabolic trapping potential which merely serves to confine the atoms, but otherwise remains negligible. In contrast, we suggest a different class of experiments in which the presence of a stronger trap is an essential part of the set-up. Because the trap-modified on-site energies exhibit a slowly varying level spacing, similar to that of an anharmonic oscillator, an additional time-periodic trap modulation with judiciously chosen parameters creates nonlinear resonances which enable efficient Floquet engineering. We employ a Mathieu approximation for constructing the near-resonant Floquet states in an accurate manner and demonstrate the emergence of effective ground states from the resonant trap eigenstates. Moreover, we show that the population of the Floquet states is strongly affected by the phase of a sudden turn-on of the trap modulation, which leads to significantly modified and rich dynamics. As a guideline for further studies, we argue that the deliberate population of only the resonance-induced effective ground states will allow one to realize Floquet condensates which follow classical periodic orbits, thus providing challenging future perspectives for the investigation of the quantum–classical correspondence.</jats:p>}},
  author       = {{Ali, Usman and Holthaus, Martin and Meier, Torsten}},
  issn         = {{1367-2630}},
  journal      = {{New Journal of Physics}},
  number       = {{12}},
  publisher    = {{IOP Publishing}},
  title        = {{{Floquet dynamics of ultracold atoms in optical lattices with a parametrically modulated trapping potential}}},
  doi          = {{10.1088/1367-2630/ad9b47}},
  volume       = {{26}},
  year         = {{2024}},
}

@inproceedings{56004,
  author       = {{von Neumann, Thilo and Boeddeker, Christoph and Cord-Landwehr, Tobias and Delcroix, Marc and Haeb-Umbach, Reinhold}},
  booktitle    = {{2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)}},
  publisher    = {{IEEE}},
  title        = {{{Meeting Recognition with Continuous Speech Separation and Transcription-Supported Diarization}}},
  doi          = {{10.1109/icasspw62465.2024.10625894}},
  year         = {{2024}},
}

@inproceedings{56272,
  author       = {{Boeddeker, Christoph and Cord-Landwehr, Tobias and Haeb-Umbach, Reinhold}},
  booktitle    = {{Interspeech 2024}},
  publisher    = {{ISCA}},
  title        = {{{Once more Diarization: Improving meeting transcription systems through segment-level speaker reassignment}}},
  doi          = {{10.21437/interspeech.2024-1286}},
  year         = {{2024}},
}

@inproceedings{57659,
  author       = {{Vieting, Peter and Berger, Simon and von Neumann, Thilo and Boeddeker, Christoph and Schlüter, Ralf and Haeb-Umbach, Reinhold}},
  booktitle    = {{2024 IEEE Spoken Language Technology Workshop (SLT)}},
  title        = {{{Combining TF-GridNet and Mixture Encoder for Continuous Speech Separation for Meeting Transcription}}},
  year         = {{2024}},
}

@inproceedings{55149,
  author       = {{Dechert, Christopher and Baumhögger, Iris M. and Kenig, Eugeny Y.}},
  booktitle    = {{Computer Aided Chemical Engineering}},
  isbn         = {{9780443288241}},
  issn         = {{1570-7946}},
  location     = {{Florenz}},
  publisher    = {{Elsevier}},
  title        = {{{CFD-based investigation of the efficiency enhancement due to microstructure reorientation in structured packing}}},
  doi          = {{10.1016/b978-0-443-28824-1.50005-3}},
  year         = {{2024}},
}

@inproceedings{56782,
  author       = {{Lange, Sven and Olbrich, Marcel and Hemker, Dennis and Maalouly, Jad and Kutter, Jürgen and Schröder, Dominik and Hedayat, Christian and Kleinen, Michael and Grünwaldt, Andreas and Bärenfänger, Jörg and Mathis, Harald and Kuhn, Harald}},
  booktitle    = {{2024 International Symposium on Electromagnetic Compatibility – EMC Europe}},
  location     = {{Bruges, Belgium}},
  publisher    = {{IEEE}},
  title        = {{{A Hybrid Data Generation Approach for the Development of an AI-based EMC Interference Recognition Method}}},
  doi          = {{10.1109/emceurope59828.2024.10722681}},
  year         = {{2024}},
}

@inproceedings{56781,
  author       = {{Maalouly, Jad and Hemker, Dennis and Lange, Sven and Olbrich, Marcel and Hedayat, Christian and Kutter, Jürgen and Mathis, Harald}},
  booktitle    = {{2024 International Symposium on Electromagnetic Compatibility – EMC Europe}},
  location     = {{Brugge, Belgium }},
  publisher    = {{IEEE}},
  title        = {{{Evaluation of Simulated and Real Measurement Data for AI-based Interference Classification in EMC Applications}}},
  doi          = {{10.1109/emceurope59828.2024.10722094}},
  year         = {{2024}},
}

@inproceedings{56924,
  author       = {{Stiemer, Marcus and Lange, Sven and Schröder, Dominik and Hedayat, Christian and Maalouly, Jad and Hemker, Dennis and Mathis, Harald}},
  booktitle    = {{2024 Smart Systems Integration Conference and Exhibition (SSI)}},
  location     = {{Hamburg}},
  publisher    = {{IEEE}},
  title        = {{{Enhancing Information Extraction in EMC Measurements through Artificial Intelligence}}},
  doi          = {{10.1109/ssi63222.2024.10740546}},
  year         = {{2024}},
}

@article{57499,
  author       = {{Maalouly, J. and Hemker, D. and Hedayat, C. and Olbrich, M. and Lange, Sven and Mathis, H.}},
  journal      = {{Advances in Radio Science}},
  location     = {{Miltenberg}},
  pages        = {{53–59}},
  title        = {{{Using Autoencoders to Classify EMC Problems in Electronic System Development}}},
  doi          = {{10.5194/ars-22-53-2024}},
  volume       = {{22}},
  year         = {{2024}},
}

@techreport{57902,
  abstract     = {{This study examines the effect of major tax reform on firms’ demand for internal tax department employees. Specifically, we analyze the effects of the Tax Cuts and Jobs Act (TCJA) on the number of job postings and skill profiles for tax department positions in large U.S. firms. Understanding how tax reform affects the demand for tax employees is important for quantifying potential compliance costs and assessing how firms adjust their tax planning capacity in response to new regulations. Additionally, our findings provide insights into the evolving skill sets required in the context of technological change and intensifying competition for talent. To address our research question, we employ textual analyses and machine learning techniques to identify and classify approximately 30,000 tax-related job postings from 1,620 firms over the period of 2015-2020. Using a difference-in-differences research design, we find a 26.7% increase in the number of tax-related job postings in the three years following the TCJA enactment. This translates into approximately 1.5 new tax department employees, which, based on prior literature estimates of tax department size, implies a 21% increase in the size of the average tax department. Focusing on the dynamics, we find that this effect is concentrated in the second year after the reform. Consistent with increased compliance costs and new tax planning opportunities, we also find that firms seek tax department employees for both compliance and planning roles, with some evidence of greater demand for employees focused on tax compliance.}},
  author       = {{Giese, Henning and Lynch, Dan and Schulz, Kim Alina and Sureth-Sloane, Caren}},
  title        = {{{The Effects of Tax Reform on Labor Demand within Tax Departments}}},
  doi          = {{https://dx.doi.org/10.2139/ssrn.5068550}},
  year         = {{2024}},
}

@inproceedings{57085,
  abstract     = {{We propose an approach for simultaneous diarization and separation of meeting data. It consists of a complex Angular Central Gaussian Mixture Model (cACGMM) for speech source separation, and a von-Mises-Fisher Mixture Model (VMFMM) for diarization in a joint statistical framework. Through the integration, both spatial and spectral information are exploited for diarization and separation. We also develop a method for counting the number of active speakers in a segment of a meeting to support block-wise processing. While the total number of speakers in a meeting may be known, it is usually not known on a per-segment level. With the proposed speaker counting, joint diarization and source separation can be done segment-by-segment, and the permutation problem across segments is solved, thus allowing for block-online processing in the future. Experimental results on the LibriCSS meeting corpus show that the integrated approach outperforms a cascaded approach of diarization and speech enhancement in terms of WER, both on a per-segment and on a per-meeting level.}},
  author       = {{Cord-Landwehr, Tobias and Boeddeker, Christoph and Haeb-Umbach, Reinhold}},
  booktitle    = {{ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}},
  keywords     = {{diarization, source separation, mixture model, meeting}},
  location     = {{Hyderabad, India}},
  title        = {{{Simultaneous Diarization and Separation of Meetings through the Integration of Statistical Mixture Models}}},
  doi          = {{10.1109/ICASSP49660.2025.10888445}},
  year         = {{2024}},
}

@inproceedings{53659,
  author       = {{Cord-Landwehr, Tobias and Boeddeker, Christoph and Zorilă, Cătălin and Doddipatla, Rama and Haeb-Umbach, Reinhold}},
  booktitle    = {{ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}},
  location     = {{Seoul}},
  publisher    = {{IEEE}},
  title        = {{{Geodesic Interpolation of Frame-Wise Speaker Embeddings for the Diarization of Meeting Scenarios}}},
  doi          = {{10.1109/icassp48485.2024.10445911}},
  year         = {{2024}},
}

@phdthesis{56654,
  abstract     = {{Residual stresses in directly joined laminates made of steel and carbon fiber reinforced epoxy resin reduce the interface and bond strength and thus have to be taken into account for the strength analysis of structural components. For a holistic description of residual stresses, a thermo-chemo-mechanical constitutive model is introduced in the present work and presented for the multi-scale analysis of residual stress patterns. In this context, the analysis of representative unit cells with regular and stochastic distribution of fibers gives information about the associated deformation and stress fields. Dehomogenization at macroscopically highly stressed regions, characterized by local stress peaks, reveals the effect of gradient deformation in the microstructure. Another aspect of this work is the development of FFT-based Galerkin methods, which allows an evaluation of the effect of defect densities, heterogeneities and morphologies on the applicability of the incremental hole drilling method. It could be demonstrated that the incremental hole drilling method is particularly sensitive to defects running along the surface.}},
  author       = {{Tinkloh, Steffen Rainer}},
  isbn         = {{9783757887650}},
  keywords     = {{Hybride Werkstoffverbunde, Eigenspanungen, FFT-basierte Galerkin-Methode, Mikromechanik, Finite-Elemente-Methode}},
  pages        = {{168}},
  publisher    = {{BoD - Books on Demand}},
  title        = {{{Mikromechanische Analyse von Eigenspannungen in direktgefügten kohlenstofffaserverstärkten Kunststoff-Stahl-Schichtverbunden}}},
  year         = {{2024}},
}

@inproceedings{56481,
  author       = {{Berganski, Christoph and Jentzsch, Felix and Platzner, Marco and Kuhmichel, Max and Giefers, Heiner}},
  location     = {{Sydney}},
  title        = {{{FINN-T: Compiling Custom Dataflow Accelerators for Quantized Transformers}}},
  year         = {{2024}},
}

@misc{54245,
  author       = {{Henke, Luca-Sebastian}},
  title        = {{{Exploring Custom FPGA Accelerators for DNN-based RF Fingerprinting}}},
  year         = {{2024}},
}

@article{21199,
  abstract     = {{As in almost every other branch of science, the major advances in data
science and machine learning have also resulted in significant improvements
regarding the modeling and simulation of nonlinear dynamical systems. It is
nowadays possible to make accurate medium to long-term predictions of highly
complex systems such as the weather, the dynamics within a nuclear fusion
reactor, of disease models or the stock market in a very efficient manner. In
many cases, predictive methods are advertised to ultimately be useful for
control, as the control of high-dimensional nonlinear systems is an engineering
grand challenge with huge potential in areas such as clean and efficient energy
production, or the development of advanced medical devices. However, the
question of how to use a predictive model for control is often left unanswered
due to the associated challenges, namely a significantly higher system
complexity, the requirement of much larger data sets and an increased and often
problem-specific modeling effort. To solve these issues, we present a universal
framework (which we call QuaSiModO:
Quantization-Simulation-Modeling-Optimization) to transform arbitrary
predictive models into control systems and use them for feedback control. The
advantages of our approach are a linear increase in data requirements with
respect to the control dimension, performance guarantees that rely exclusively
on the accuracy of the predictive model, and only little prior knowledge
requirements in control theory to solve complex control problems. In particular
the latter point is of key importance to enable a large number of researchers
and practitioners to exploit the ever increasing capabilities of predictive
models for control in a straight-forward and systematic fashion.}},
  author       = {{Peitz, Sebastian and Bieker, Katharina}},
  journal      = {{Automatica}},
  publisher    = {{Elsevier}},
  title        = {{{On the Universal Transformation of Data-Driven Models to Control Systems}}},
  doi          = {{10.1016/j.automatica.2022.110840}},
  volume       = {{149}},
  year         = {{2023}},
}

@article{35602,
  abstract     = {{Continuous Speech Separation (CSS) has been proposed to address speech overlaps during the analysis of realistic meeting-like conversations by eliminating any overlaps before further processing.
CSS separates a recording of arbitrarily many speakers into a small number of overlap-free output channels, where each output channel may contain speech of multiple speakers.
This is often done by applying a conventional separation model trained with Utterance-level Permutation Invariant Training (uPIT), which exclusively maps a speaker to an output channel, in sliding window approach called stitching.
Recently, we introduced an alternative training scheme called Graph-PIT that teaches the separation network to directly produce output streams in the required format without stitching.
It can handle an arbitrary number of speakers as long as never more of them overlap at the same time than the separator has output channels.
In this contribution, we further investigate the Graph-PIT training scheme.
We show in extended experiments that models trained with Graph-PIT also work in challenging reverberant conditions.
Models trained in this way are able to perform segment-less CSS, i.e., without stitching, and achieve comparable and often better separation quality than the conventional CSS with uPIT and stitching.
We simplify the training schedule for Graph-PIT with the recently proposed Source Aggregated Signal-to-Distortion Ratio (SA-SDR) loss.
It eliminates unfavorable properties of the previously used A-SDR loss and thus enables training with Graph-PIT from scratch.
Graph-PIT training relaxes the constraints w.r.t. the allowed numbers of speakers and speaking patterns which allows using a larger variety of training data.
Furthermore, we introduce novel signal-level evaluation metrics for meeting scenarios, namely the source-aggregated scale- and convolution-invariant Signal-to-Distortion Ratio (SA-SI-SDR and SA-CI-SDR), which are generalizations of the commonly used SDR-based metrics for the CSS case.}},
  author       = {{von Neumann, Thilo and Kinoshita, Keisuke and Boeddeker, Christoph and Delcroix, Marc and Haeb-Umbach, Reinhold}},
  issn         = {{2329-9290}},
  journal      = {{IEEE/ACM Transactions on Audio, Speech, and Language Processing}},
  keywords     = {{Continuous Speech Separation, Source Separation, Graph-PIT, Dynamic Programming, Permutation Invariant Training}},
  pages        = {{576--589}},
  publisher    = {{Institute of Electrical and Electronics Engineers (IEEE)}},
  title        = {{{Segment-Less Continuous Speech Separation of Meetings: Training and Evaluation Criteria}}},
  doi          = {{10.1109/taslp.2022.3228629}},
  volume       = {{31}},
  year         = {{2023}},
}

@article{49634,
  author       = {{Ruiz Alvarado, Isaac Azahel and Zare Pour, Mohammad Amin and Hannappel, Thomas and Schmidt, Wolf Gero}},
  issn         = {{2469-9950}},
  journal      = {{Physical Review B}},
  number       = {{4}},
  publisher    = {{American Physical Society (APS)}},
  title        = {{{Structural fingerprints in the reflectance anisotropy of AlInP(001)}}},
  doi          = {{10.1103/physrevb.108.045410}},
  volume       = {{108}},
  year         = {{2023}},
}

@article{48599,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>The biexciton‐exciton emission cascade commonly used in quantum‐dot systems to generate polarization entanglement yields photons with intrinsically limited indistinguishability. In the present work, it focuses on the generation of pairs of photons with high degrees of polarization entanglement and simultaneously high indistinguishability. It achieves this goal by selectively reducing the biexciton lifetime with an optical resonator. It demonstrates that a suitably tailored circular Bragg reflector fulfills the requirements of sufficient selective Purcell enhancement of biexciton emission paired with spectrally broad photon extraction and twofold degenerate optical modes. The in‐depth theoretical study combines (i) the optimization of realistic photonic structures solving Maxwell's equations from which model parameters are extracted as input for (ii) microscopic simulations of quantum‐dot cavity excitation dynamics with full access to photon properties. It reports non‐trivial dependencies on system parameters and use the predictive power of the combined theoretical approach to determine the optimal range of Purcell enhancement that maximizes indistinguishability and entanglement to near unity values, here specifically for the telecom C‐band at 1550 nm.</jats:p>}},
  author       = {{Bauch, David and Siebert, Dustin and Jöns, Klaus and Förstner, Jens and Schumacher, Stefan}},
  issn         = {{2511-9044}},
  journal      = {{Advanced Quantum Technologies}},
  keywords     = {{tet_topic_qd}},
  publisher    = {{Wiley}},
  title        = {{{On‐Demand Indistinguishable and Entangled Photons Using Tailored Cavity Designs}}},
  doi          = {{10.1002/qute.202300142}},
  year         = {{2023}},
}