Tensor-Compressed Back-Propagation-Free Training for (Physics-Informed)
Neural Networks

Tensor-Compressed Back-Propagation-Free Training for (Physics-Informed) Neural Networks

18 August 2023

Zheng-Wei Zhang

Papers citing "Tensor-Compressed Back-Propagation-Free Training for (Physics-Informed) Neural Networks"

9 / 9 papers shown

Title
Experimental Demonstration of an Optical Neural PDE Solver via On-Chip PINN Training Yequan Zhao Xian Xiao Antoine Descos Yuan Yuan Xinling Yu G. Kurczveil M. Fiorentino Zheng-Wei Zhang R. Beausoleil 24 0 0 03 Jan 2025
Poor Man's Training on MCUs: A Memory-Efficient Quantized Back-Propagation-Free Approach Yequan Zhao Hai Li Ian Young Zheng-Wei Zhang MQ 24 2 0 07 Nov 2024
Separable Operator Networks Xinling Yu S. Hooten Z. Liu Yequan Zhao M. Fiorentino T. Van Vaerenbergh Zheng-Wei Zhang 41 4 0 15 Jul 2024
Score-fPINN: Fractional Score-Based Physics-Informed Neural Networks for High-Dimensional Fokker-Planck-Levy Equations Zheyuan Hu Zhongqiang Zhang George Karniadakis Kenji Kawaguchi 48 0 0 17 Jun 2024
CoMERA: Computing- and Memory-Efficient Training via Rank-Adaptive Tensor Optimization Zi Yang Samridhi Choudhary Xinfeng Xie Cao Gao Siegfried Kunzmann Zheng-Wei Zhang VLM 33 6 0 23 May 2024
Score-Based Physics-Informed Neural Networks for High-Dimensional Fokker-Planck Equations Zheyuan Hu Zhongqiang Zhang George Karniadakis Kenji Kawaguchi 37 11 0 12 Feb 2024
Real-Time FJ/MAC PDE Solvers via Tensorized, Back-Propagation-Free Optical PINN Training Yequan Zhao Xianwei Xiao Xinling Yu Z. Liu Zhixiong Chen G. Kurczveil R. Beausoleil Zheng-Wei Zhang 14 4 0 31 Dec 2023
Training Convolutional Neural Networks with the Forward-Forward algorithm Riccardo Scodellaro A. Kulkarni Frauke Alves Matthias Schröter 19 7 0 22 Dec 2023
Scaling Forward Gradient With Local Losses Mengye Ren Simon Kornblith Renjie Liao Geoffrey E. Hinton 67 49 0 07 Oct 2022