Heavy Ball Neural Ordinary Differential Equations

Heavy Ball Neural Ordinary Differential Equations

10 October 2021

Andrea L. Bertozzi

Stanley J. Osher

Bao Wang

Papers citing "Heavy Ball Neural Ordinary Differential Equations"

12 / 12 papers shown

Title
Understanding and Mitigating Membership Inference Risks of Neural Ordinary Differential Equations Sanghyun Hong Fan Wu A. Gruber Kookjin Lee 42 0 0 12 Jan 2025
MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts R. Teo Tan M. Nguyen MoE 33 3 0 18 Oct 2024
Faster Training of Neural ODEs Using Gauß-Legendre Quadrature Alexander Norcliffe M. Deisenroth 23 3 0 21 Aug 2023
Diffusion Sampling with Momentum for Mitigating Divergence Artifacts Suttisak Wizadwongsa Worameth Chinchuthakun Pramook Khungurn Amit Raj Supasorn Suwajanakorn DiffM 42 2 0 20 Jul 2023
Trainability, Expressivity and Interpretability in Gated Neural ODEs T. Kim T. Can K. Krishnamurthy AI4CE 35 4 0 12 Jul 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 PDE Solution Operator for Continuous Modeling of Time-Series Yesom Park Jaemoo Choi Changyeon Yoon Changhoon Song Myung-joo Kang AI4TS AI4CE 27 3 0 02 Feb 2023
torchode: A Parallel ODE Solver for PyTorch Marten Lienen Stephan Günnemann LRM 19 11 0 22 Oct 2022
Momentum Transformer: Closing the Performance Gap Between Self-attention and Its Linearization T. Nguyen Richard G. Baraniuk Robert M. Kirby Stanley J. Osher Bao Wang 21 9 0 01 Aug 2022
Learning POD of Complex Dynamics Using Heavy-ball Neural ODEs Justin Baker E. Cherkaev A. Narayan Bao Wang AI4CE 11 4 0 24 Feb 2022
AIR-Net: Adaptive and Implicit Regularization Neural Network for Matrix Completion Zhemin Li Tao Sun Hongxia Wang Bao Wang 42 6 0 12 Oct 2021
A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights Weijie Su Stephen P. Boyd Emmanuel J. Candes 105 1,152 0 04 Mar 2015