SK
Sebastian Kaltenbach
cs.LGphysics.comp-phstat.MLcs.AIphysics.flu-dynBrain Neoplasmscs.CLcs.CVcs.MAcs.NA
On Valency
published · living versionsW_5txyfx4z·v1 · currentpublished
Preprints & journals
21 papers in the corpus · 2019–2026Shieldstral2607.25857v2 · Antonia Calvi, Avinash Sooriyarachchi, Giada Pistilli et al.2026 · 0 citationsarXiv
Robostral Navigate2607.20785v3 · Abdelaziz Bounhar, Abhijeet Somani, Aditi Kabra et al.2026 · 0 citationsarXiv
A fully GPU-based workflow for building physics emulators of hypersonic flows2606.13742v1 · Fabian Paischer, Dylan Rubini, Deniz A. Bezgin et al.2026 · 0 citationsarXiv
Graph Energy Matching: Transport-Aligned Energy-Based Modeling for Graph Generation2603.23398v3 · Michal Balcerak, Suprosanna Shit, Chinmay Prabhakar et al.2026 · 0 citationsarXiv
Data-Driven Discovery of Interpretable Kalman Filter Variants through Large Language Models and Genetic Programming2508.11703v2 · Vasileios Saketos, Sebastian Kaltenbach, Sergey Litvinov et al.2025 · 1 citationarXiv
Reinforcement Learning Closures for Underresolved Partial Differential Equations using Synthetic Data2505.11308v1 · Lothar Heimbach, Sebastian Kaltenbach, Petr Karnakov et al.2025 · 1 citationarXiv
Optimal Lattice Boltzmann Closures through Multi-Agent Reinforcement Learning2504.14422v1 · Paul Fischer, Sebastian Kaltenbach, Sergey Litvinov et al.2025 · 0 citationsarXiv
Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling2504.10612v5 · Michal Balcerak, Tamaz Amiranashvili, Antonio Terpin et al.2025 · 1 citationarXiv
Learning Effective Dynamics across Spatio-Temporal Scales of Complex Flows2502.07990v1 · Han Gao, Sebastian Kaltenbach, Petros Koumoutsakos2025 · 0 citationsarXiv
A Learnable Prior Improves Inverse Tumor Growth Modeling.38495563 · Weidner, Jonas, Ezhov, Ivan, Balcerak, Michal et al.2025 · 10 citationsArXiv. 2024
Generative learning for forecasting the dynamics of high-dimensional complex systems.39406736 · Gao, Han, Kaltenbach, Sebastian, Koumoutsakos, Petros2024 · 49 citationsNature communications. 2024;15(1):8904
Generative Learning of the Solution of Parametric Partial Differential Equations Using Guided Diffusion Models and Virtual Observations2408.00157v1 · Han Gao, Sebastian Kaltenbach, Petros Koumoutsakos2024 · 22 citationsarXiv
Generative Learning for Forecasting the Dynamics of Complex Systems2402.17157v1 · Han Gao, Sebastian Kaltenbach, Petros Koumoutsakos2024 · 0 citationsarXiv
Closure Discovery for Coarse-Grained Partial Differential Equations Using Grid-based Reinforcement Learning2402.00972v3 · Jan-Philipp von Bassewitz, Sebastian Kaltenbach, Petros Koumoutsakos2024 · 0 citationsarXiv
Interpretable learning of effective dynamics for multiscale systems2309.05812v1 · Emmanuel Menier, Sebastian Kaltenbach, Mouadh Yagoubi et al.2023 · 9 citationsarXiv
Interpretable reduced-order modeling with time-scale separation2303.02189v1 · Sebastian Kaltenbach, Phaedon-Stelios Koutsourelakis, Petros Koumoutsakos2023 · 1 citationarXiv
Semi-supervised Invertible Neural Operators for Bayesian Inverse Problems2209.02772v3 · Sebastian Kaltenbach, Paris Perdikaris, Phaedon-Stelios Koutsourelakis2022 · 36 citationsarXiv
Physics-enhanced Neural Networks in the Small Data Regime2111.10329v1 · Jonas Eichelsdorfer, Sebastian Kaltenbach, Phaedon-Stelios Koutsourelakis2021 · 3 citationsarXiv
Physics-aware, deep probabilistic modeling of multiscale dynamics in the Small Data regime2102.04269v2 · Sebastian Kaltenbach, Phaedon-Stelios Koutsourelakis2021 · 1 citationarXiv
Physics-aware, probabilistic model order reduction with guaranteed stability2101.05834v1 · Sebastian Kaltenbach, Phaedon-Stelios Koutsourelakis2021 · 4 citationsarXiv
Incorporating physical constraints in a deep probabilistic machine learning framework for coarse-graining dynamical systems1912.12976v4 · Sebastian Kaltenbach, Phaedon-Stelios Koutsourelakis2019 · 33 citationsarXiv
Career total: 43 works. 21 are in this corpus.
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