Sebastian Kaltenbach

22 papers A* 1Journal 18Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Graph Energy Matching: Transport-Aligned Energy-Based Modeling for Graph Generation. CoRR Michal Balcerak, Suprosana Shit, Chinmay Prabhakar, Sebastian Kaltenbach, Michael S. Albergo, Yilun Du, Bjoern Menze
2025	J	`jnl`	A Learnable Prior Improves Inverse Tumor Growth Modeling. IEEE Trans. Medical Imaging 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
2025	—	`conf`	Closure Discovery for Coarse-Grained Partial Differential Equations Using Grid-based Reinforcement Learning. CPAL Jan-Philipp von Bassewitz, Sebastian Kaltenbach, Petros Koumoutsakos
2025	J	`jnl`	Data-Driven Discovery of Interpretable Kalman Filter Variants through Large Language Models and Genetic Programming. CoRR Vasileios Saketos, Sebastian Kaltenbach, Sergey Litvinov, Petros Koumoutsakos
2025	J	`jnl`	Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling. CoRR Michal Balcerak, Tamaz Amiranashvili, Suprosanna Shit, Antonio Terpin, Sebastian Kaltenbach, Petros Koumoutsakos, Bjoern H. Menze
2025	—	`conf`	Learning Effective Dynamics across Spatio-Temporal Scales of Complex Flows. CPAL Han Gao, Sebastian Kaltenbach, Petros Koumoutsakos
2025	J	`jnl`	Learning Effective Dynamics across Spatio-Temporal Scales of Complex Flows. CoRR Han Gao, Sebastian Kaltenbach, Petros Koumoutsakos
2025	J	`jnl`	Optimal Lattice Boltzmann Closures through Multi-Agent Reinforcement Learning. CoRR Paul Fischer, Sebastian Kaltenbach, Sergey Litvinov, Sauro Succi, Petros Koumoutsakos
2025	J	`jnl`	Reinforcement Learning Closures for Underresolved Partial Differential Equations using Synthetic Data. CoRR Lothar Heimbach, Sebastian Kaltenbach, Petr Karnakov, Francis J. Alexander, Petros Koumoutsakos
2024	J	`jnl`	A Learnable Prior Improves Inverse Tumor Growth Modeling. CoRR 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
2024	J	`jnl`	Closure Discovery for Coarse-Grained Partial Differential Equations using Multi-Agent Reinforcement Learning. CoRR Jan-Philipp von Bassewitz, Sebastian Kaltenbach, Petros Koumoutsakos
2024	J	`jnl`	Generative Learning for Forecasting the Dynamics of Complex Systems. CoRR Han Gao, Sebastian Kaltenbach, Petros Koumoutsakos
2024	J	`jnl`	Generative Learning of the Solution of Parametric Partial Differential Equations Using Guided Diffusion Models and Virtual Observations. CoRR Han Gao, Sebastian Kaltenbach, Petros Koumoutsakos
2023	J	`jnl`	Interpretable learning of effective dynamics for multiscale systems. CoRR Emmanuel Menier, Sebastian Kaltenbach, Mouadh Yagoubi, Marc Schoenauer, Petros Koumoutsakos
2023	J	`jnl`	Interpretable reduced-order modeling with time-scale separation. CoRR Sebastian Kaltenbach, Phaedon-Stelios Koutsourelakis, Petros Koumoutsakos
2023	—	`—`	Physics-aware, probabilistic machine learning in the Small Data regime. Sebastian Kaltenbach
2022	J	`jnl`	Semi-supervised Invertible DeepONets for Bayesian Inverse Problems. CoRR Sebastian Kaltenbach, Paris Perdikaris, Phaedon-Stelios Koutsourelakis
2021	A*	`conf`	Physics-aware, probabilistic model order reduction with guaranteed stability. ICLR Sebastian Kaltenbach, Phaedon-Stelios Koutsourelakis
2021	J	`jnl`	Physics-aware, probabilistic model order reduction with guaranteed stability. CoRR Sebastian Kaltenbach, Phaedon-Stelios Koutsourelakis
2021	J	`jnl`	Physics-enhanced Neural Networks in the Small Data Regime. CoRR Jonas Eichelsdörfer, Sebastian Kaltenbach, Phaedon-Stelios Koutsourelakis
2020	J	`jnl`	Incorporating physical constraints in a deep probabilistic machine learning framework for coarse-graining dynamical systems. J. Comput. Phys. Sebastian Kaltenbach, Phaedon-Stelios Koutsourelakis
2007	J	`jnl`	Biphasic Optical Signal of an oscillating nonstationary Belousov-zhabotinsky Bulk Reaction and its Similarity to Some neurophysiological Events. Int. J. Bifurc. Chaos Kerstin Dolzmann, Sebastian Kaltenbach, Wolfgang Hanke, Vera Maura Fernandes de Lima