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Disambiguierung von "Holzmüller, David"

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Active Learning for Neural PDE Solvers

, , , , und . NeurIPS 2024 Workshop on Data-driven and Differentiable Simulations, Surrogates, and Solvers, (2024)

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Um zwischen Personen mit demselben Namen zu unterscheiden, wird der akademische Grad und der Titel einer wichtigen Publikation angezeigt. Zudem lassen sich über den Button neben dem Namen einige der Person bereits zugeordnete Publikationen anzeigen.

David Holzmüller University of Stuttgart

Dr. Marie Davidova University of Stuttgart

David Nigl University of Stuttgart

Development of a basalt fiber-reinforced composite duct for post-tensioned functionally graded concrete structures, , , , , , und . Construction and Building Materials, (Juli 2025)

David Briesenick University of Stuttgart

David Inkermann

 

Weitere Publikationen von Autoren mit dem selben Namen

A Framework and Benchmark for Deep Batch Active Learning for Regression, , , und . J. Mach. Learn. Res., 24 (164): 1–81 (2023)Convergence rates for non-log-concave sampling and log-partition estimation, und . arXiv:2303.03237, (2023)Transfer learning for chemically accurate interatomic neural network potentials, , , und . Physical chemistry, chemical physics, 25 (7): 5383-5396 (2023)Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments, , , und . Software, (2021)Related to: V. Zaverkin, D. Holzmüller, I. Steinwart, and J. Kästner, “Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments,” J. Chem. Theory Comput. 17, 6658–6670 (2021). doi: 10.1021/acs.jctc.1c00527.Replication Data for: On the Universality of the Double Descent Peak in Ridgeless Regression. Software, (2021)Related to: David Holzmüller. On the Universality of the Double Descent Peak in Ridgeless Regression. International Conference on Learning Representations, 2021. arXiv: 2010.01851.Predicting properties of periodic systems from cluster data : A case study of liquid water, , , und . The journal of chemical physics, 156 (11): 114103 (2022)Efficient Neighbor-Finding on Space-Filling Curves.. CoRR, (2017)Improved Approximation Schemes for the Restricted Shortest Path Problem.. CoRR, (2017)Regression from linear models to neural networks: double descent, active learning, and sampling. University of Stuttgart, (2023)Mind the spikes : benign overfitting of kernels and neural networks in fixed dimension, , , und . NIPS '23: Proceedings of the 37th International Conference on Neural Information Processing Systems, Seite 20763-20826. Association for Computing Machinery, (2024)