pingzaiwang

OITNN

Sample code for AAAI 2020 Paper: "Robust Tensor Decomposition via Orientation Invariant Tubal Nuclear Norms"

Awesome-Feature-Learning-in-Deep-Learning-Thoery

Welcome to the Awesome Feature Learning in Deep Learning Thoery Reading Group! This repository serves as a collaborative platform for scholars, enthusiasts, and anyone interested in delving into the fascinating world of feature learning within deep learning theory.

awesome-graph-explainability-papers

Papers about explainability of GNNs

deltaNN

Discontinuous Neural Networks

GP4A

Code for NeurIPS 2019 paper: "Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes"

ksupport

Code for the machine learning methods described in: M. B. Blaschko, A Note on k-support Norm Regularized Risk Minimization. arXiv:1303.6390, 2013.

kSupportNorm4Tensor

reproducible-image-denoising-state-of-the-art

Collection of popular and reproducible image denoising works.

RT-GCN

T2NN-demo

A demo of the source code for paper "A Hybrid Norm for Guaranteed Tensor Recovery" by Yihao Luo, Andong Wang , Guoxu Zhou and Qibin Zhao published in Frontiers in Physics

tednet

TedNet: A Pytorch Toolkit for Tensor Decomposition Networks

Tensor-Network-B-splines

Tensor Network B-splines and its application in nonlinear system identification

TM-GCN

Pytorch code for TM-GCN, a Dynamic Graph Convolutional Networks Using the Tensor M-Product

TriFac4TRPCA

Supplemental Material for TriFac