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Stochastic Physics-Informed Neural Ordinary Differential Equations
v1v2 (latest)

Stochastic Physics-Informed Neural Ordinary Differential Equations

3 September 2021
Jared O’Leary
J. Paulson
A. Mesbah
ArXiv (abs)PDFHTML

Papers citing "Stochastic Physics-Informed Neural Ordinary Differential Equations"

10 / 10 papers shown
Learning Biomolecular Motion: The Physics-Informed Machine Learning Paradigm
Learning Biomolecular Motion: The Physics-Informed Machine Learning Paradigm
Aaryesh Deshpande
AI4CE
450
1
0
10 Nov 2025
Physics-informed time series analysis with Kolmogorov-Arnold Networks under Ehrenfest constraints
Physics-informed time series analysis with Kolmogorov-Arnold Networks under Ehrenfest constraints
Abhijit Sen
Illya V. Lukin
K. Jacobs
Lev Kaplan
Andrii G. Sotnikov
Denys I. Bondar
AI4TSAI4CE
131
0
0
23 Sep 2025
Unified Spatiotemporal Physics-Informed Learning (USPIL): A Framework for Modeling Complex Predator-Prey Dynamics
Unified Spatiotemporal Physics-Informed Learning (USPIL): A Framework for Modeling Complex Predator-Prey Dynamics
Julian Evan Chrisnanto
Salsabila Rahma Alia
Yulison Herry Chrisnanto
Ferry Faizal
PINNAI4CE
408
1
0
16 Sep 2025
Neural Ordinary Differential Equations for Learning and Extrapolating System Dynamics Across Bifurcations
Neural Ordinary Differential Equations for Learning and Extrapolating System Dynamics Across Bifurcations
Eva van Tegelen
George van Voorn
Ioannis Athanasiadis
Peter van Heijster
241
1
0
25 Jul 2025
Perception-Informed Neural Networks: Beyond Physics-Informed Neural Networks
Perception-Informed Neural Networks: Beyond Physics-Informed Neural Networks
Mehran Mazandarani
Marzieh Najariyan
PINNAI4CE
243
1
0
02 May 2025
Integrating Physics-Informed Deep Learning and Numerical Methods for
  Robust Dynamics Discovery and Parameter Estimation
Integrating Physics-Informed Deep Learning and Numerical Methods for Robust Dynamics Discovery and Parameter Estimation
Caitlin Ho
Andrea Arnold
AI4CEPINN
199
0
0
05 Oct 2024
Physics-Informed Neural Networks with Hard Linear Equality Constraints
Physics-Informed Neural Networks with Hard Linear Equality ConstraintsComputers and Chemical Engineering (Comput. Chem. Eng.), 2024
Hao Chen
Gonzalo E. Constante-Flores
Canzhou Li
PINN
249
41
0
11 Feb 2024
Neural Schrödinger Bridge with Sinkhorn Losses: Application to
  Data-driven Minimum Effort Control of Colloidal Self-assembly
Neural Schrödinger Bridge with Sinkhorn Losses: Application to Data-driven Minimum Effort Control of Colloidal Self-assemblyIEEE Transactions on Control Systems Technology (IEEE TCST), 2023
Iman Nodozi
Charlie Yan
Mira M. Khare
A. Halder
A. Mesbah
264
10
0
26 Jul 2023
An analysis of Universal Differential Equations for data-driven
  discovery of Ordinary Differential Equations
An analysis of Universal Differential Equations for data-driven discovery of Ordinary Differential EquationsInternational Conference on Conceptual Structures (ICCS), 2023
Mattia Silvestri
Federico Baldo
Eleonora Misino
M. Lombardi
AI4CE
194
2
0
17 Jun 2023
Learning Effective SDEs from Brownian Dynamics Simulations of Colloidal
  Particles
Learning Effective SDEs from Brownian Dynamics Simulations of Colloidal Particles
N. Evangelou
Felix Dietrich
J. M. Bello-Rivas
Alex J Yeh
Rachel Stein
M. Bevan
Ioannis G. Kevekidis
DiffM
572
5
0
30 Apr 2022
1
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