Multiple shooting for training neural differential equations on time series

14 September 2021

Papers citing "Multiple shooting for training neural differential equations on time series"

7 / 7 papers shown

Title
Effective Latent Differential Equation Models via Attention and Multiple Shooting German Abrevaya Mahta Ramezanian-Panahi Jean-Christophe Gagnon-Audet Pablo Polosecki Irina Rish S. Dawson Guillermo Cecchi G. Dumas MedIm 21 1 0 11 Jul 2023
Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems Truong X. Nghiem Ján Drgoňa Colin N. Jones Zoltán Nagy Roland Schwan ... J. Paulson Andrea Carron M. Zeilinger Wenceslao Shaw-Cortez D. Vrabie PINN AI4CE 32 30 0 24 Jun 2023
CONFIDE: Contextual Finite Differences Modelling of PDEs Ori Linial Orly Avner Dotan Di Castro 38 0 0 28 Mar 2023
Latent Neural ODEs with Sparse Bayesian Multiple Shooting V. Iakovlev Çağatay Yıldız Markus Heinonen Harri Lähdesmäki BDL 25 11 0 07 Oct 2022
Homotopy-based training of NeuralODEs for accurate dynamics discovery Joon-Hyuk Ko Hankyul Koh Nojun Park W. Jhe 38 8 0 04 Oct 2022
NeuralFMU: Presenting a workflow for integrating hybrid NeuralODEs into real world applications Tobias Thummerer Johannes Stoljar Lars Mikelsons AI4CE 32 9 0 08 Sep 2022
Learning Time Delay Systems with Neural Ordinary Differential Equations Xun Ji G. Orosz 28 6 0 28 Jun 2022