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ORCIDSebastian Kaltenbach
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2020 – today
- 2024
[i9]Jan-Philipp von Bassewitz, Sebastian Kaltenbach, Petros Koumoutsakos:
Closure Discovery for Coarse-Grained Partial Differential Equations using Multi-Agent Reinforcement Learning. CoRR abs/2402.00972 (2024)- [i8]Han Gao, Sebastian Kaltenbach, Petros Koumoutsakos:
Generative Learning for Forecasting the Dynamics of Complex Systems. CoRR abs/2402.17157 (2024) - [i7]Jonas Weidner, Ivan Ezhov, Michal Balcerak, Marie-Christin Metz, Sergey Litvinov, Sebastian Kaltenbach, Leonhard F. Feiner, Laurin Lux, Florian Kofler, Jana Lipková, Jonas Latz, Daniel Rueckert, Bjoern H. Menze, Benedikt Wiestler:
A Learnable Prior Improves Inverse Tumor Growth Modeling. CoRR abs/2403.04500 (2024) - [i6]Han Gao, Sebastian Kaltenbach, Petros Koumoutsakos:
Generative Learning of the Solution of Parametric Partial Differential Equations Using Guided Diffusion Models and Virtual Observations. CoRR abs/2408.00157 (2024) - 2023
- [b1]Sebastian Kaltenbach:
Physics-aware, probabilistic machine learning in the Small Data regime. Technical University of Munich, Germany, 2023 - [i5]Sebastian Kaltenbach, Phaedon-Stelios Koutsourelakis, Petros Koumoutsakos:
Interpretable reduced-order modeling with time-scale separation. CoRR abs/2303.02189 (2023) - [i4]Emmanuel Menier, Sebastian Kaltenbach, Mouadh Yagoubi, Marc Schoenauer, Petros Koumoutsakos:
Interpretable learning of effective dynamics for multiscale systems. CoRR abs/2309.05812 (2023) - 2022
- [i3]Sebastian Kaltenbach, Paris Perdikaris, Phaedon-Stelios Koutsourelakis:
Semi-supervised Invertible DeepONets for Bayesian Inverse Problems. CoRR abs/2209.02772 (2022) - 2021
- [c1]Sebastian Kaltenbach, Phaedon-Stelios Koutsourelakis:
Physics-aware, probabilistic model order reduction with guaranteed stability. ICLR 2021 - [i2]Sebastian Kaltenbach, Phaedon-Stelios Koutsourelakis:
Physics-aware, probabilistic model order reduction with guaranteed stability. CoRR abs/2101.05834 (2021) - [i1]Jonas Eichelsdörfer, Sebastian Kaltenbach, Phaedon-Stelios Koutsourelakis:
Physics-enhanced Neural Networks in the Small Data Regime. CoRR abs/2111.10329 (2021) - 2020
- [j1]Sebastian Kaltenbach
, Phaedon-Stelios Koutsourelakis:
Incorporating physical constraints in a deep probabilistic machine learning framework for coarse-graining dynamical systems. J. Comput. Phys. 419: 109673 (2020)
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