Codes of Tr-GoF tests for robust watermark detection

This repository contains the official code for the paper "Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts."

Experiment codes for the paper https://arxiv.org/abs/2404.01245

Welcome to the 'In Context Learning Theory' Reading Group

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 th…

Own solutions for exercises and MATLAB example codes for "Numerical Linear Algebra" by Lloyd N. Trefethen and David Bau III, 1997

The released code of t-CTV algorithms, mainly proposed in the paper "Guaranteed Tensor Recovery Fused Low-rankness and Smoothness"， published in TPAMI 2023

[ECCV 2022] Tensorial Radiance Fields, a novel approach to model and reconstruct radiance fields

Optimizing matrix-mimetic tensor algebras

Scaled Gradient Descent for Low-rank Matrix and Tensor Estimation

some codes for ploting figures

Code for the paper: Adversarial Machine Learning: Bayesian Perspectives

Coupled matrix-tensor factorization for integrating EEG and ffMRI on the brain cortical surface with source reconstruction

Total Deep Variation Regularizer

🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.

Unsupervised Hyperspectral Pansharpening via Low-rank Diffusion Model (Information Fusion 2024)

Countering Adversarial Image using Input Transformations.

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

PyTorch implementation of [1412.6553] and [1511.06530] tensor decomposition methods for convolutional layers.

A challenge to explore adversarial robustness of neural networks on MNIST.

A challenge to explore adversarial robustness of neural networks on CIFAR10.

A thoroughly investigated survey for tensorial neural networks.

My research on tensor decompositions and their applications to machine learning.

MNIST experiment from Tensorizing neural networks (Novikov et al. 2015)

Deep convolutional tensor network

A Library of ADMM for Sparse and Low-rank Optimization

A Low-rank Tensor Dictionary Learning Method for Hyperspectral Image Denoising.

A list of hyperspectral image denoising resources collected by Yongsen Zhao and Junjun Jiang.