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.
P. Russ, H. Kirchner, H. Peterlik, and I. Weiß. Dataset, (2024)Related to: Russ P, Kirchner HOK, Peterlik H, Weiss IM. Feather keratin in Pavo cristatus: A tentative structure. BIORXIV/2024/611866. doi: 10.1101/2024.09.08.611866.
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.
A. Bordignon, E. Cances, G. Dusson, G. Kemlin, R. Lainez Reyes, and B. Stamm. Software, (2024)Related to: A. Bordignon, E. Cancès, G. Dusson, G.Kemlin, R.A. Lainez Reyes, B. Stamm, Fully guaranteed and computable error bounds on the energy for periodic Kohn-Sham equations with convex density functionals, preprint.
L. Reichmann, D. Hägele, and D. Weiskopf. Software, (2024)Related to: L. Reichmann, D. Hägele, D. Weiskopf, "Out-of-Core Dimensionality Reduction for Large Data via Out-of-Sample Extensions" in arXiv preprint, 2024. arXiv: 2408.04129.
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.
F. Euchner, and S. Brink. Dataset, (2024)Related to: F. Euchner, T. Schneider, M. Gauger, S. ten Brink: "ESPARGOS: An Ultra Low-Cost, Realtime-Capable Multi-Antenna WiFi Channel Sounder". In: WSA & SCC 2023: 26th International ITG Workshop on Smart Antennas and 13th Conference on Systems, Communications, and Coding. VDE Verlag, 2023 (ITG-Fachbericht 308), ISBN: 978-3-8007-6050-3.
C. Homs Pons, D. Schneider, F. Simonis, M. Schulte, and B. Uekermann. Software, (2024)Related to: Carme Homs-Pons, David Schneider, Frederic Simonis, Miriam Schulte, and Benjamin Uekermann. “Partitioned Multiphysics Simulation of an Electrophysiological Three-Tendon-Biceps Model” (in review).
M. Gil Pérez, C. Zechmeister, N. Dambrosio, B. Rongen, A. Menges, and J. Knippers. Dataset, (2024)Related to: Zechmeister, C.; Gil Pérez, M.; Dambrosio, N.; Knippers, J.; Menges, A. Extension of Computational Co-Design Methods for Modular, Prefabricated Composite Building Components Using Bio-Based Material Systems. Sustainability 2023, 15, 12189. doi: 10.3390/su151612189.
C. Zechmeister, N. Dambrosio, S. Bodea, and A. Menges. Dataset, (2024)Related to: Zechmeister, C.; Bodea, S.; Dambrosio, N.; Menges, A. Design for Long-Span Core-Less Wound, Structural Composite Building Elements 2020. In: Gengnagel, C., Baverel, O., Burry, J., Ramsgaard Thomsen, M., Weinzierl, S. (eds) Impact: Design With All Senses. DMSB 2019. Springer, Cham. doi: 10.1007/978-3-030-29829-6_32.
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.
