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808 Publications
2022 | Journal Article | LibreCat-ID: 30591
Bertling, René, et al. “Modelling Film and Rivulet Flows on Microstructured Surfaces Using CFD Methods.” Chemical Engineering Science, vol. 251, 117414, Elsevier BV, 2022, doi:10.1016/j.ces.2021.117414.
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2022 | Conference Paper | LibreCat-ID: 33739 | 
Bondarenko, Alexander, et al. “CausalQA: A Benchmark for Causal Question Answering.” Proceedings of the 29th International Conference on Computational Linguistics, International Committee on Computational Linguistics, 2022, pp. 3296–3308.
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2022 | Conference Paper | LibreCat-ID: 46193 |
Karp, Martin, et al. “A High-Fidelity Flow Solver for Unstructured Meshes on Field-Programmable Gate Arrays: Design, Evaluation, and Future Challenges.” International Conference on High Performance Computing in Asia-Pacific Region, ACM, 2022, doi:10.1145/3492805.3492808.
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2022 | Preprint | LibreCat-ID: 32404
Kühne, Thomas, et al. “CP2K on the Road to Exascale.” ArXiv:2205.14741, 2022.
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| arXiv
2022 | Journal Article | LibreCat-ID: 33226 |
Schade, Robert, et al. “Parallel Quantum Chemistry on Noisy Intermediate-Scale Quantum Computers.” Phys. Rev. Research, vol. 4, American Physical Society, 2022, p. 033160, doi:10.1103/PhysRevResearch.4.033160.
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2022 | Journal Article | LibreCat-ID: 33684 |
Schade, Robert, et al. “Towards Electronic Structure-Based Ab-Initio Molecular Dynamics Simulations with Hundreds of Millions of Atoms.” Parallel Computing, vol. 111, 102920, Elsevier BV, 2022, doi:10.1016/j.parco.2022.102920.
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2022 | Journal Article | LibreCat-ID: 27364
Meyer, Marius, et al. “In-Depth FPGA Accelerator Performance Evaluation with Single Node Benchmarks from the HPC Challenge Benchmark Suite for Intel and Xilinx FPGAs Using OpenCL.” Journal of Parallel and Distributed Computing, 2022, doi:10.1016/j.jpdc.2021.10.007.
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2022 | Report | LibreCat-ID: 49113
Ebbers, Janek, and Reinhold Haeb-Umbach. Pre-Training And Self-Training For Sound Event Detection In Domestic Environments. 2022.
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2022 | Conference Paper | LibreCat-ID: 33509
Marschalt, Christoph, et al. “Far-Field Calculation from Magnetic Huygens Box Data Using the Boundary Element Method.” 2022 Smart Systems Integration (SSI), IEEE, 2022, doi:10.1109/ssi56489.2022.9901431.
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2022 | Conference Paper | LibreCat-ID: 33848 |
Cord-Landwehr, Tobias, et al. “Monaural Source Separation: From Anechoic to Reverberant Environments.” 2022 International Workshop on Acoustic Signal Enhancement (IWAENC), IEEE, 2022.
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| arXiv
2022 | Conference Paper | LibreCat-ID: 33819 |
von Neumann, Thilo, et al. “SA-SDR: A Novel Loss Function for Separation of Meeting Style Data.” ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, 2022, doi:10.1109/icassp43922.2022.9746757.
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2022 | Misc | LibreCat-ID: 33816 |
Gburrek, Tobias, et al. A Meeting Transcription System for an Ad-Hoc Acoustic Sensor Network. arXiv, 2022, doi:10.48550/ARXIV.2205.00944.
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2022 | Conference Paper | LibreCat-ID: 33954 |
Boeddeker, Christoph, et al. “An Initialization Scheme for Meeting Separation with Spatial Mixture Models.” Interspeech 2022, ISCA, 2022, doi:10.21437/interspeech.2022-10929.
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2022 | Journal Article | LibreCat-ID: 44088 |
Schmidt, Falko, et al. “A Density-Functional Theory Study of Hole and Defect-Bound Exciton Polarons in Lithium Niobate.” Crystals, vol. 12, no. 11, 1586, MDPI AG, 2022, doi:10.3390/cryst12111586.
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| WoS
2021 | Conference Paper | LibreCat-ID: 27365
Meyer, Marius. “Towards Performance Characterization of FPGAs in Context of HPC Using OpenCL Benchmarks.” Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies, 2021, doi:10.1145/3468044.3468058.
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2021 | Journal Article | LibreCat-ID: 21004
Wever, Marcel Dominik, et al. “AutoML for Multi-Label Classification: Overview and Empirical Evaluation.” IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021, pp. 1–1, doi:10.1109/tpami.2021.3051276.
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2021 | Journal Article | LibreCat-ID: 21065 |
Haeb-Umbach, Reinhold, et al. “Far-Field Automatic Speech Recognition.” Proceedings of the IEEE, vol. 109, no. 2, 2021, pp. 124–48, doi:10.1109/JPROC.2020.3018668.
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2021 | Journal Article | LibreCat-ID: 21092
Mohr, Felix, et al. “Predicting Machine Learning Pipeline Runtimes in the Context of Automated Machine Learning.” IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE.
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