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777 Publications


2021 | Conference Paper | LibreCat-ID: 21198
Hanselle, J. M., Tornede, A., Wever, M. D., & Hüllermeier, E. (2021). Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data. The 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-2021), Delhi, India.
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2021 | Dissertation | LibreCat-ID: 21502 | OA
Claes, L. (2021). Messverfahren für die akustische Absorption in reinen Fluiden zur Bestimmung der Volumenviskosität. Universiät Paderborn. https://doi.org/10.17619/UNIPB/1-1104
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2021 | Conference Paper | LibreCat-ID: 29294 | OA
Nickchen, T., Heindorf, S., & Engels, G. (2021). Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts. 2021 IEEE Winter Conference on Applications of Computer Vision (WACV). https://doi.org/10.1109/wacv48630.2021.00204
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2021 | Conference Paper | LibreCat-ID: 24000
Heitkaemper, J., Schmalenstroeer, J., Ion, V., & Haeb-Umbach, R. (2021). A Database for Research on Detection and Enhancement of Speech Transmitted over HF links. Speech Communication; 14th ITG-Symposium, 1–5.
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2021 | Conference Paper | LibreCat-ID: 28259 | OA
Boeddeker, C., Zhang, W., Nakatani, T., Kinoshita, K., Ochiai, T., Delcroix, M., Kamo, N., Qian, Y., & Haeb-Umbach, R. (2021). Convolutive Transfer Function Invariant SDR Training Criteria for Multi-Channel Reverberant Speech Separation. ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). https://doi.org/10.1109/icassp39728.2021.9414661
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2021 | Conference Paper | LibreCat-ID: 29304 | OA
Ebbers, J., Kuhlmann, M., Cord-Landwehr, T., & Haeb-Umbach, R. (2021). Contrastive Predictive Coding Supported Factorized Variational Autoencoder for Unsupervised Learning of Disentangled Speech Representations. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 3860–3864.
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2021 | Conference Paper | LibreCat-ID: 26770 | OA
von Neumann, T., Kinoshita, K., Boeddeker, C., Delcroix, M., & Haeb-Umbach, R. (2021). Graph-PIT: Generalized Permutation Invariant Training for Continuous Separation of Arbitrary Numbers of Speakers. Interspeech 2021. Interspeech. https://doi.org/10.21437/interspeech.2021-1177
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2021 | Conference Paper | LibreCat-ID: 29173 | OA
von Neumann, T., Boeddeker, C., Kinoshita, K., Delcroix, M., & Haeb-Umbach, R. (2021). Speeding Up Permutation Invariant Training for Source Separation. Speech Communication; 14th ITG Conference. Speech Communication; 14th ITG Conference, Kiel.
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2021 | Conference Paper | LibreCat-ID: 29308 | OA
Ebbers, J., & Haeb-Umbach, R. (2021). Self-Trained Audio Tagging and Sound Event Detection in Domestic Environments. Proceedings of the 6th Detection and Classification of Acoustic Scenes and Events 2021 Workshop (DCASE2021), 226–230.
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2021 | Conference Paper | LibreCat-ID: 29306 | OA
Ebbers, J., Keyser, M. C., & Haeb-Umbach, R. (2021). Adapting Sound Recognition to A New Environment Via Self-Training. Proceedings of the 29th European Signal Processing Conference (EUSIPCO), 1135–1139.
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2021 | Conference Paper | LibreCat-ID: 35131
Castells-Rufas, D., Marco-Sola, S., Aguado-Puig, Q., Espinosa-Morales, A., Moure, J. C., Alvarez, L., & Moreto, M. (2021). OpenCL-based FPGA Accelerator for Semi-Global Approximate String Matching Using Diagonal Bit-Vectors. 2021 31st International Conference on Field-Programmable Logic and Applications (FPL). https://doi.org/10.1109/fpl53798.2021.00036
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2021 | Conference Paper | LibreCat-ID: 29937
Karp, M., Podobas, A., Jansson, N., Kenter, T., Plessl, C., Schlatter, P., & Markidis, S. (2021). High-Performance Spectral Element Methods on Field-Programmable Gate Arrays : Implementation, Evaluation, and Future Projection. 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS). https://doi.org/10.1109/ipdps49936.2021.00116
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2021 | Conference Paper | LibreCat-ID: 46194
Kenter, T., Shambhu, A., Faghih-Naini, S., & Aizinger, V. (2021). Algorithm-hardware co-design of a discontinuous Galerkin shallow-water model for a dataflow architecture on FPGA. Proceedings of the Platform for Advanced Scientific Computing Conference (PASC). https://doi.org/10.1145/3468267.3470617
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2021 | Journal Article | LibreCat-ID: 27099
Widhalm, A., Krehs, S., Siebert, D., Sharma, N. L., Langer, T., Jonas, B., Reuter, D., Thiede, A., Förstner, J., & Zrenner, A. (2021). Optoelectronic sampling of ultrafast electric transients with single quantum dots. Applied Physics Letters, 119, 181109. https://doi.org/10.1063/5.0061358
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2021 | Journal Article | LibreCat-ID: 21360
Luk, S. M. H., Vergnet, H., Lafont, O., Lewandowski, P., Kwong, N. H., Galopin, E., Lemaitre, A., Roussignol, P., Tignon, J., Schumacher, S., Binder, R., & Baudin, E. (2021). All-Optical Beam Steering Using the Polariton Lighthouse Effect. ACS Photonics, 449–454. https://doi.org/10.1021/acsphotonics.0c01962
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2021 | Journal Article | LibreCat-ID: 40433
Dong, C.-D., & Schumacher, S. (2021). Microscopic Insights into Charge Formation and Energetics in n-Doped Organic Semiconductors. The Journal of Physical Chemistry C, 125(40), 21824–21830. https://doi.org/10.1021/acs.jpcc.1c05666
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2021 | Preprint | LibreCat-ID: 32236
Rose, H., Tikhonova, O. V., Meier, T., & Sharapova, P. (2021). Steady states of $Λ$-type three-level systems excited by quantum  light in lossy cavities. In arXiv:2109.00842.
LibreCat | arXiv
 

2021 | Preprint | LibreCat-ID: 29655
Kirchgässner, W., Wallscheid, O., & Böcker, J. (2021). Thermal Neural Networks: Lumped-Parameter Thermal Modeling With State-Space Machine Learning. In arXiv preprint arXiv:2103.16323.
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2021 | Journal Article | LibreCat-ID: 26283
Lüders, C., Pukrop, M., Rozas, E., Schneider, C., Höfling, S., Sperling, J., Schumacher, S., & Aßmann, M. (2021). Quantifying Quantum Coherence in Polariton Condensates. PRX Quantum. https://doi.org/10.1103/prxquantum.2.030320
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2021 | Journal Article | LibreCat-ID: 21362
Xue, Y., Chestnov, I., Sedov, E., Kiktenko, E., Fedorov, A. K., Schumacher, S., Ma, X., & Kavokin, A. (2021). Split-ring polariton condensates as macroscopic two-level quantum systems. Physical Review Research, 3(1), Article 013099. https://doi.org/10.1103/physrevresearch.3.013099
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