J. Pelzer. Dataset, (2024)Related to: Pelzer, Julia, and Miriam Schulte. "Scalable Machine Learning Approach for Heat Transport in Groundwater". In proceedings of 23rd International Conference of Machine Learning and Applications (2024). In progress.
J. Pelzer. Dataset, (2024)Related to: Pelzer, Julia, and Miriam Schulte. "Scalable Machine Learning Approach for Heat Transport in Groundwater". In proceedings of 23rd International Conference of Machine Learning and Applications (2024). In progress.
J. Kneifl, J. Rettberg, and J. Herb. Software, (2024)Related to: Johannes Rettberg, Jonas Kneifl, Julius Herb, Patrick Buchfink, Jörg Fehr, and Bernard Haasdonk. Data-driven identification of latent port-Hamiltonian systems. Arxiv, 2024. arXiv: 2408.08185.
D. Holzmüller, L. Grinsztajn, and I. Steinwart. Software, (2024)Related to: David Holzmüller, Léo Grinsztajn, and Ingo Steinwart. Better by Default: Strong Pre-Tuned MLPs and Boosted Trees on Tabular Data, 2024. arXiv: 2407.04491.
S. Tovey, C. Lohrmann, and C. Holm. Dataset, (2024)Related to: Tovey, Samuel James and Lohrmann, Christoph and Holm, Christian, Emergence of Chemotactic Strategies with Multi-Agent Reinforcement Learning, Machine Learning: Science and Technology, 2024. doi: 10.1088/2632-2153/ad5f73.
J. Kneifl, J. Rettberg, and J. Fehr. Software, (2024)Related to: Rettberg, J., Kneifl, J., Herb, J., Buchfink, P., Fehr, J., Haasdonk, B.: Data-driven identification of low-dimensional port-Hamiltonian systems. To be submitted (2024).
P. Tilli. Dataset, (2024)Related to: Esra Dönmez*, Pascal Tilli*, Hsiu-Yu Yang*, Ngoc Thang Vu, and Carina Silberer. 2023. HNC: Leveraging Hard Negative Captions towards Models with Fine-Grained Visual-Linguistic Comprehension Capabilities. In Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL), pages 364-388, Singapore. Association for Computational Linguistics. doi: 10.18653/v1/2023.conll-1.24.
