DySMHO: Data-Driven Discovery of Governing Equations for Dynamical Systems via Moving Horizon Optimization

30 July 2021

Papers citing "DySMHO: Data-Driven Discovery of Governing Equations for Dynamical Systems via Moving Horizon Optimization"

13 / 13 papers shown

Title
High-order expansion of Neural Ordinary Differential Equations flows Dario Izzo Sebastien Origer Giacomo Acciarini F. Biscani AI4CE 29 0 0 02 Apr 2025
Staying Alive: Online Neural Network Maintenance and Systemic Drift Joshua Edward Hammond Tyler Soderstrom Brian A. Korgel Michael Baldea 40 0 0 22 Mar 2025
Impilict Runge-Kutta based sparse identification of governing equations in biologically motivated systems Mehrdad Anvari Hamidreza Marasi Hossein Kheiri 64 0 0 27 Feb 2025
SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond Madhav Muthyala Farshud Sorourifar You Peng J. Paulson 52 1 0 05 Feb 2025
A Bayesian Approach for Discovering Time- Delayed Differential Equation from Data Debangshu Chowdhury Souvik Chakraborty 28 0 0 06 Jan 2025
A scalable generative model for dynamical system reconstruction from neuroimaging data Eric Volkmann Alena Brändle Daniel Durstewitz G. Koppe AI4CE 28 1 0 05 Nov 2024
Out-of-Domain Generalization in Dynamical Systems Reconstruction Niclas Alexander Göring Florian Hess Manuel Brenner Zahra Monfared Daniel Durstewitz AI4CE 35 10 0 28 Feb 2024
Constrained Equation Learner Networks for Precision-Preserving Extrapolation of Robotic Skills Hector M. Perez-Villeda J. Piater Matteo Saveriano 13 0 0 04 Nov 2023
Physics-constrained robust learning of open-form partial differential equations from limited and noisy data Mengge Du Yuntian Chen Longfeng Nie Siyu Lou Dong-juan Zhang AI4CE 31 7 0 14 Sep 2023
Predicting Ordinary Differential Equations with Transformers Soren Becker M. Klein Alexander Neitz Giambattista Parascandolo Niki Kilbertus 32 14 0 24 Jul 2023
Generalized Teacher Forcing for Learning Chaotic Dynamics Florian Hess Zahra Monfared Manuela Brenner Daniel Durstewitz AI4CE 27 30 0 07 Jun 2023
Integrating Multimodal Data for Joint Generative Modeling of Complex Dynamics Manuela Brenner Florian Hess G. Koppe Daniel Durstewitz 28 9 0 15 Dec 2022
B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data Liu Yang Xuhui Meng George Karniadakis PINN 183 760 0 13 Mar 2020