Learning Differential Equations that are Easy to Solve

9 July 2020

Papers citing "Learning Differential Equations that are Easy to Solve"

29 / 79 papers shown

Title
Neural Flows: Efficient Alternative to Neural ODEs Marin Bilovs Johanna Sommer Syama Sundar Rangapuram Tim Januschowski Stephan Günnemann AI4TS 16 68 0 25 Oct 2021
Beltrami Flow and Neural Diffusion on Graphs B. Chamberlain J. Rowbottom D. Eynard Francesco Di Giovanni Xiaowen Dong M. Bronstein AI4CE 32 79 0 18 Oct 2021
How Does Momentum Benefit Deep Neural Networks Architecture Design? A Few Case Studies Bao Wang Hedi Xia T. Nguyen Stanley Osher AI4CE 37 10 0 13 Oct 2021
Heavy Ball Neural Ordinary Differential Equations Hedi Xia Vai Suliafu H. Ji T. Nguyen Andrea L. Bertozzi Stanley J. Osher Bao Wang 25 55 0 10 Oct 2021
Second-Order Neural ODE Optimizer Guan-Horng Liu T. Chen Evangelos A. Theodorou 16 11 0 29 Sep 2021
Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling Franck Djeumou Cyrus Neary Eric Goubault S. Putot Ufuk Topcu PINN AI4CE 34 68 0 14 Sep 2021
Stabilizing Equilibrium Models by Jacobian Regularization Shaojie Bai V. Koltun J. Zico Kolter 17 57 0 28 Jun 2021
Distributional Gradient Matching for Learning Uncertain Neural Dynamics Models Lenart Treven Philippe Wenk Florian Dorfler Andreas Krause OOD 11 2 0 22 Jun 2021
GRAND: Graph Neural Diffusion B. Chamberlain J. Rowbottom Maria I. Gorinova Stefan Webb Emanuele Rossi M. Bronstein GNN 22 253 0 21 Jun 2021
Multi-Resolution Continuous Normalizing Flows Vikram S. Voleti Chris Finlay Adam M. Oberman Christopher Pal 21 4 0 15 Jun 2021
Incorporating NODE with Pre-trained Neural Differential Operator for Learning Dynamics Shiqi Gong Qi Meng Yue Wang Lijun Wu Wei Chen Zhi-Ming Ma Tie-Yan Liu 8 2 0 08 Jun 2021
Framing RNN as a kernel method: A neural ODE approach Adeline Fermanian P. Marion Jean-Philippe Vert Gérard Biau 15 25 0 02 Jun 2021
ACE-NODE: Attentive Co-Evolving Neural Ordinary Differential Equations Sheo Yon Jhin Minju Jo Taeyong Kong Jinsung Jeon Noseong Park BDL 13 13 0 31 May 2021
Accelerating Neural ODEs Using Model Order Reduction M. Lehtimäki L. Paunonen M. Linne 17 16 0 28 May 2021
Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics Avik Pal Yingbo Ma Viral B. Shah Chris Rackauckas 25 35 0 09 May 2021
Segmenting Hybrid Trajectories using Latent ODEs Ruian Shi Q. Morris BDL 6 6 0 09 May 2021
Meta-Solver for Neural Ordinary Differential Equations Julia Gusak A. Katrutsa Talgat Daulbaev A. Cichocki Ivan V. Oseledets 11 2 0 15 Mar 2021
Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations Winnie Xu Ricky T. Q. Chen Xuechen Li D. Duvenaud BDL UQCV 11 46 0 12 Feb 2021
Stable Implementation of Probabilistic ODE Solvers Nicholas Kramer Philipp Hennig 86 20 0 18 Dec 2020
Accelerating Continuous Normalizing Flow with Trajectory Polynomial Regularization Han Huang Mi-Yen Yeh 10 8 0 08 Dec 2020
N-ODE Transformer: A Depth-Adaptive Variant of the Transformer Using Neural Ordinary Differential Equations Aaron Baier-Reinio H. Sterck 8 9 0 22 Oct 2020
Scalable Normalizing Flows for Permutation Invariant Densities Marin Bilos Stephan Günnemann TPM 11 23 0 07 Oct 2020
"Hey, that's not an ODE": Faster ODE Adjoints via Seminorms Patrick Kidger Ricky T. Q. Chen Terry Lyons 16 39 0 20 Sep 2020
ResNet After All? Neural ODEs and Their Numerical Solution Katharina Ott P. Katiyar Philipp Hennig Michael Tiemann 23 29 0 30 Jul 2020
Deep learning of thermodynamics-aware reduced-order models from data Quercus Hernandez Alberto Badías D. González Francisco Chinesta Elías Cueto PINN AI4CE 8 79 0 03 Jul 2020
Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs Jianzhun Du Joseph D. Futoma Finale Doshi-Velez 17 49 0 29 Jun 2020
STEER: Simple Temporal Regularization For Neural ODEs Arna Ghosh Harkirat Singh Behl Emilien Dupont Philip H. S. Torr Vinay P. Namboodiri BDL AI4TS 19 73 0 18 Jun 2020
Differentiable Molecular Simulations for Control and Learning Wujie Wang Simon Axelrod Rafael Gómez-Bombarelli AI4CE 93 49 0 27 Feb 2020
Robust learning with implicit residual networks Viktor Reshniak Clayton Webster OOD 17 22 0 24 May 2019