E. Sood, S. Tannert, D. Frassinelli, A. Bulling, and N. Vu. Proceedings of the 24th Conference on Computational Natural Language Learning, page 12--25. Online, Association for Computational Linguistics, (November 2020)
E. Sood, S. Tannert, D. Frassinelli, A. Bulling, and N. Vu. Proceedings of the 24th Conference on Computational Natural Language Learning, page 12--25. Online, Association for Computational Linguistics, (November 2020)
T. Praditia. Dataset, (2020)Related to: Praditia, T., Walser, T., Oladyshkin, S. and Nowak, W.: Improving Thermochemical Energy Storage dynamics forecast with Physics-Inspired Neural Network architecture. Energies 2020.
D. Holzmüller, V. Zaverkin, J. Kästner, and I. Steinwart. Software, (2022)Related to: David, Holzmüller, Viktor Zaverkin, Johannes Kästner, and Ingo Steinwart. A Framework and Benchmark for Deep Batch Active Learning for Regression, 2022. arXiv: 2203.09410.
M. Steffen. Dataset, (2023)Related to: Maier, S.: Simulation of a Novel Restraint Safety Concept for Motorcycles, Dissertation, University of Stuttgart, Shaker Verlag, Aachen, tbd.
J. Kneifl, and J. Fehr. Software, (2023)Related to: Kneifl, J., Kutz, J. N., Brunton, S.L., Fehr, J.: Multi-Hierarchical Surrogate Learning of Structural Dynamical Systems Using Graph Convolutional Neural Networks. To be submitted (2023).
D. Väth, P. Tilli, and N. Vu. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, page 114--123. (2021)
