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, und 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, und 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, und 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, und 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.
T. Siebert, N. Stutzig, J. Fehr, C. Holzapfel, S. Hunger, L. Broß, und M. Millard. dvs-Biomechanik 2023 Tagungsband : Beiträge zur Tagung der dvs-Sektion Biomechanik 2023 an der Otto-von-Guericke-Universität Magdeburg, Seite 180-182. Stuttgart, Steinbeis-Edition, (2023)
R. Herkert. Software, (2024)Related to: R. Herkert, P. Buchfink, T. Wenzel, B. Haasdonk, P. Toktaliev, O. Iliev (2024), "Greedy Kernel Methods for Approximating Breakthrough Curves for Reactive Flow from 3D Porous Geometry Data". arXiv: 2405.19170.
P. Stärk, und A. Schlaich. Software, (2024)Related to: Artemov, V.; Frank, L.; Doronin, R.; Stärk, P.; Schlaich, A.; Andreev, A.; Leisner, T.; Radenovic, A.; Kiselev, A. The Three-Phase Contact Potential Difference Modulates the Water Surface Charge. J. Phys. Chem. Lett. 2023, 14, 4796-4802. doi: 10.1021/acs.jpclett.3c00479.
T. Munz-Körner, und D. Weiskopf. Dataset, (2024)Related to: T. Munz-Körner, D. Weiskopf, Exploring visual quality of multidimensional time series projections, Visual Informatics (2024). doi: 10.1016/j.visinf.2024.04.004.
T. Munz-Körner, und D. Weiskopf. Software, (2024)Related to: T. Munz-Körner, D. Weiskopf, Exploring visual quality of multidimensional time series projections, Visual Informatics (2024). doi: 10.1016/j.visinf.2024.04.004.
R. Herkert. Software, (2024)Related to: R. Herkert, P. Buchfink, B. Haasdonk, J. Rettberg, J. Fehr. (2024), "Error Analysis of Randomized Symplectic Model Order Reduction for Hamiltonian systems". arXiv: 2405.10465.
A. Schlaich. Software, (2024)Related to: Alexander Schlaich, Matthieu Vandamme, Marie Plazanet, Benoit Coasne, "Bridging Microscopic Dynamics and Hydraulic Permeability in Mechanically-Deformed Nanoporous Materials", (2024). arXiv: arXiv:2403.19812.
J. Finkbeiner, S. Tovey, und C. Holm. Dataset, (2024)Related to: Jan Finkbeiner, Samuel Tovey, Christian Holm: Generating Minimal Training Sets for Machine Learned Potentials (2023). arXiv: 2309.03840.
J. Pelzer. Software, (2024)Related to: Pelzer, Julia, and Miriam Schulte. "Efficient two-stage modeling of heat plume interactions of geothermal heat pumps in shallow aquifers using convolutional neural networks." Geoenergy Science and Engineering (2024): 212788. doi: 10.1016/j.geoen.2024.212788.
J. Pelzer. Software, (2024)Related to: Pelzer, Julia, and Miriam Schulte. "Efficient two-stage modeling of heat plume interactions of geothermal heat pumps in shallow aquifers using convolutional neural networks." Geoenergy Science and Engineering (2024): 212788. doi: 10.1016/j.geoen.2024.212788.
F. Bechler. Dataset, (2024)Related to: Related Publication: Bechler, F.: Enabling Holistic Vehicle Safety - Combined Knowledge and Information through a Graph-based Approach, Dissertation, University of Stuttgart, Shaker Verlag, Aachen, tbd.
M. Alvarez Chaves, H. Gupta, U. Ehret, und A. Guthke. Software, (2024)Related to: Álvarez Chaves, Manuel, Gupta, Hoshin V., Ehret, Uwe and Guthke, Anneli. On the Accurate Estimation of Information-Theoretic Quantities from Multi-Dimensional Sample Data. Entropy 2024, 26(5), 387. doi: 10.3390/e26050387.
P. Reiser, J. Aguilar, A. Guthke, und P. Bürkner. Software, (2024)Related to: Reiser P., Aguilar J. E., Guthke A., & Bürkner P. C. (2023). Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference. ArXiv preprint 2312.05153. arXiv: 2312.05153.