Taylor-Lagrange Neural Ordinary Differential Equations: Toward Fast
Training and Evaluation of Neural ODEs

Taylor-Lagrange Neural Ordinary Differential Equations: Toward Fast Training and Evaluation of Neural ODEs

14 January 2022

Eric Goubault

Ufuk Topcu

Papers citing "Taylor-Lagrange Neural Ordinary Differential Equations: Toward Fast Training and Evaluation of Neural ODEs"

15 / 15 papers shown

Title
Theoretical Guarantees for High Order Trajectory Refinement in Generative Flows Chengyue Gong Xiaoyu Li Yingyu Liang Jiangxuan Long Zhenmei Shi Zhao-quan Song Yu Tian 56 3 0 12 Mar 2025
HOFAR: High-Order Augmentation of Flow Autoregressive Transformers Yingyu Liang Zhizhou Sha Zhenmei Shi Zhao-quan Song Mingda Wan 75 1 0 11 Mar 2025
Zero-Shot Transfer of Neural ODEs Tyler Ingebrand Adam J. Thorpe Ufuk Topcu 28 3 0 14 May 2024
Enhancing Low-Order Discontinuous Galerkin Methods with Neural Ordinary Differential Equations for Compressible Navier--Stokes Equations Shinhoo Kang Emil M. Constantinescu AI4CE 22 0 0 29 Oct 2023
Autonomous Drifting with 3 Minutes of Data via Learned Tire Models Franck Djeumou Jonathan Y. Goh Ufuk Topcu Avinash Balachandran 13 19 0 10 Jun 2023
Locally Regularized Neural Differential Equations: Some Black Boxes Were Meant to Remain Closed! Avik Pal Alan Edelman Chris Rackauckas 22 3 0 03 Mar 2023
Learning Subgrid-scale Models with Neural Ordinary Differential Equations Shinhoo Kang Emil M. Constantinescu AI4CE 21 6 0 20 Dec 2022
Compositional Learning of Dynamical System Models Using Port-Hamiltonian Neural Networks Cyrus Neary Ufuk Topcu PINN AI4CE 13 12 0 01 Dec 2022
Learning Robust State Observers using Neural ODEs (longer version) Keyan Miao Konstantinos Gatsis OOD 11 12 0 01 Dec 2022
GENIE: Higher-Order Denoising Diffusion Solvers Tim Dockhorn Arash Vahdat Karsten Kreis DiffM 49 104 0 11 Oct 2022
Improved Batching Strategy For Irregular Time-Series ODE Ting Fung Lam Yony Bresler Ahmed E. Khorshid Nathan Perlmutter AI4TS 16 0 0 12 Jul 2022
Noisy Learning for Neural ODEs Acts as a Robustness Locus Widening Martin Gonzalez H. Hajri Loic Cantat M. Petreczky 31 1 0 16 Jun 2022
Continuous Deep Equilibrium Models: Training Neural ODEs faster by integrating them to Infinity Avik Pal Alan Edelman Chris Rackauckas 18 6 0 28 Jan 2022
Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling Franck Djeumou Cyrus Neary Eric Goubault S. Putot Ufuk Topcu PINN AI4CE 42 68 0 14 Sep 2021
Lagrangian Neural Networks M. Cranmer S. Greydanus Stephan Hoyer Peter W. Battaglia D. Spergel S. Ho PINN 130 424 0 10 Mar 2020