Physics-aware, probabilistic model order reduction with guaranteed
stability

Physics-aware, probabilistic model order reduction with guaranteed stability

14 January 2021

Sebastian Kaltenbach

P. Koutsourelakis

Papers citing "Physics-aware, probabilistic model order reduction with guaranteed stability"

14 / 14 papers shown

Title
Reinforcement Learning Closures for Underresolved Partial Differential Equations using Synthetic Data Lothar Heimbach Sebastian Kaltenbach Petr Karnakov Francis J. Alexander Petros Koumoutsakos AI4CE 7 0 0 16 May 2025
Generative Learning of the Solution of Parametric Partial Differential Equations Using Guided Diffusion Models and Virtual Observations Han Gao Sebastian Kaltenbach Petros Koumoutsakos DiffM AI4CE 37 4 0 31 Jul 2024
Generative Learning for Forecasting the Dynamics of Complex Systems Han Gao Sebastian Kaltenbach Petros Koumoutsakos AI4TS AI4CE 32 6 0 27 Feb 2024
Closure Discovery for Coarse-Grained Partial Differential Equations Using Grid-based Reinforcement Learning Jan-Philipp von Bassewitz Sebastian Kaltenbach Petros Koumoutsakos AI4CE 38 2 0 01 Feb 2024
Interpretable learning of effective dynamics for multiscale systems Emmanuel Menier Sebastian Kaltenbach Mouadh Yagoubi Marc Schoenauer Petros Koumoutsakos AI4CE 33 6 0 11 Sep 2023
Interpretable reduced-order modeling with time-scale separation Sebastian Kaltenbach P. Koutsourelakis Petros Koumoutsakos AI4CE 11 2 0 03 Mar 2023
Semi-supervised Invertible Neural Operators for Bayesian Inverse Problems Sebastian Kaltenbach P. Perdikaris P. Koutsourelakis 32 24 0 06 Sep 2022
From latent dynamics to meaningful representations Dedi Wang Yihang Wang Luke J. Evans P. Tiwary AI4CE 40 7 0 02 Sep 2022
Simulate Time-integrated Coarse-grained Molecular Dynamics with Multi-Scale Graph Networks Xiang Fu T. Xie Nathan J. Rebello B. Olsen Tommi Jaakkola AI4CE 30 13 0 21 Apr 2022
Physics-enhanced Neural Networks in the Small Data Regime Jonas Eichelsdörfer Sebastian Kaltenbach P. Koutsourelakis AI4CE PINN 16 5 0 19 Nov 2021
Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling Naoya Takeishi Alexandros Kalousis DRL AI4CE 30 54 0 25 Feb 2021
Physics-aware, deep probabilistic modeling of multiscale dynamics in the Small Data regime Sebastian Kaltenbach P. Koutsourelakis AI4CE 14 1 0 08 Feb 2021
Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting Longyuan Li Junchi Yan Xiaokang Yang Yaohui Jin OOD BDL AI4TS 42 60 0 31 Jan 2021
Variational Koopman models: slow collective variables and molecular kinetics from short off-equilibrium simulations Hao Wu Feliks Nuske Fabian Paul Stefan Klus P. Koltai Frank Noé 107 126 0 20 Oct 2016