Constrained Neural Ordinary Differential Equations with Stability Guarantees

22 April 2020

Papers citing "Constrained Neural Ordinary Differential Equations with Stability Guarantees"

7 / 7 papers shown

Title
Eigen-informed NeuralODEs: Dealing with stability and convergence issues of NeuralODEs Tobias Thummerer Lars Mikelsons 11 3 0 07 Feb 2023
Bounded nonlinear forecasts of partially observed geophysical systems with physics-constrained deep learning Said Ouala Steven L. Brunton A. Pascual Bertrand Chapron F. Collard L. Gaultier Ronan Fablet PINN AI4TS AI4CE 18 10 0 11 Feb 2022
On the Stochastic Stability of Deep Markov Models Ján Drgoňa Sayak Mukherjee Jiaxin Zhang Frank Liu M. Halappanavar BDL 17 5 0 08 Nov 2021
Physics-Informed Neural State Space Models via Learning and Evolution Elliott Skomski Ján Drgoňa Aaron Tuor PINN AI4CE 19 9 0 26 Nov 2020
Dissipative Deep Neural Dynamical Systems Ján Drgoňa Soumya Vasisht Aaron Tuor D. Vrabie 19 6 0 26 Nov 2020
Physics-constrained Deep Learning of Multi-zone Building Thermal Dynamics Ján Drgoňa Aaron Tuor V. Chandan D. Vrabie AI4CE 16 115 0 11 Nov 2020
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 278 1,400 0 01 Dec 2016