Identifying Latent Stochastic Differential Equations

Identifying Latent Stochastic Differential Equations

12 July 2020

João M. Pereira

Papers citing "Identifying Latent Stochastic Differential Equations"

15 / 15 papers shown

Title
Improving the Noise Estimation of Latent Neural Stochastic Differential Equations Linus Heck Maximilian Gelbrecht Michael T. Schaub Niklas Boers DiffM 28 0 0 23 Dec 2024
Variational Neural Stochastic Differential Equations with Change Points Yousef El-Laham Zhongchang Sun Haibei Zhu Tucker Balch Svitlana Vyetrenko 26 0 0 01 Nov 2024
Neural McKean-Vlasov Processes: Distributional Dependence in Diffusion Processes Haoming Yang Ali Hasan Yuting Ng Vahid Tarokh DiffM 39 4 0 15 Apr 2024
Neural Stochastic Differential Equations with Change Points: A Generative Adversarial Approach Zhongchang Sun Yousef El-Laham Svitlana Vyetrenko AI4TS 11 2 0 20 Dec 2023
Neural Structure Learning with Stochastic Differential Equations Benjie Wang Joel Jennings Wenbo Gong CML AI4TS 15 3 0 06 Nov 2023
Tipping Points of Evolving Epidemiological Networks: Machine Learning-Assisted, Data-Driven Effective Modeling N. Evangelou Tianqi Cui J. M. Bello-Rivas Alexei Makeev Ioannis G. Kevrekidis 30 1 0 01 Nov 2023
HyperSINDy: Deep Generative Modeling of Nonlinear Stochastic Governing Equations Mozes Jacobs Bingni W. Brunton Steven L. Brunton J. Nathan Kutz Ryan V. Raut 11 8 0 07 Oct 2023
Latent SDEs on Homogeneous Spaces Sebastian Zeng Florian Graf Roland Kwitt BDL 28 6 0 28 Jun 2023
Discovering mesoscopic descriptions of collective movement with neural stochastic modelling Utkarsh Pratiush Arshed Nabeel Vishwesha Guttal A. Prathosh 24 1 0 17 Mar 2023
Neural Langevin Dynamics: towards interpretable Neural Stochastic Differential Equations Simon Koop M. Peletier J. Portegies Vlado Menkovski DiffM 27 1 0 17 Nov 2022
Compositional Law Parsing with Latent Random Functions Fan Shi Bin Li Xiangyang Xue CoGe 19 4 0 15 Sep 2022
From latent dynamics to meaningful representations Dedi Wang Yihang Wang Luke J. Evans P. Tiwary AI4CE 27 7 0 02 Sep 2022
Latent Neural Stochastic Differential Equations for Change Point Detection Artem Sergeevich Ryzhikov M. Hushchyn D. Derkach 16 1 0 22 Aug 2022
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 16 5 0 30 Apr 2022
Learning effective stochastic differential equations from microscopic simulations: linking stochastic numerics to deep learning Felix Dietrich Alexei Makeev George A. Kevrekidis N. Evangelou Tom S. Bertalan Sebastian Reich Ioannis G. Kevrekidis DiffM 29 37 0 10 Jun 2021