yiboyang / wgd
Official project page for Estimating the Rate-Distortion Function by Wasserstein Gradient Descent
☆16Updated last year
Related projects ⓘ
Alternatives and complementary repositories for wgd
- Code for Neural Estimation of the Rate-Distortion Function With Applications to Operational Source Coding☆11Updated last year
- Featurized Density Ratio Estimation☆20Updated 3 years ago
- Code for the paper "Let’s Make Block Coordinate Descent Go Fast"☆45Updated last year
- ☆14Updated 10 months ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆90Updated 7 months ago
- Data compression in JAX☆57Updated this week
- Denoising Diffusion Error Correction Codes☆12Updated 7 months ago
- Difference-of-Entropies (DoE) Estimator☆24Updated 2 years ago
- Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).☆35Updated 8 months ago
- Lossless compression using Probabilistic Circuits☆16Updated 2 years ago
- Mutual information estimators and benchmark☆37Updated 2 weeks ago
- Code for Global Convergence of Block Coordinate Descent in Deep Learning (ICML 2019)☆34Updated 5 years ago
- ☆12Updated 2 months ago
- Code for "Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance", NeurIPS 2022.☆16Updated last year
- Carpet: Neural Net based solver for the 1d-TV problem☆12Updated 4 years ago
- Kernel Stein Discrepancy Descent : a method to sample from unnormalized densities☆21Updated 7 months ago
- Spectral Tensor Train Parameterization of Deep Learning Layers☆13Updated 3 years ago
- [NeurIPS 2021] "Hyperparameter Tuning is All You Need for LISTA" by Xiaohan Chen, Jialin Liu, Zhangyang Wang and Wotao Yin☆22Updated 2 years ago
- Efficient Riemannian Optimization on Stiefel Manifold via Cayley Transform☆36Updated 5 years ago
- Classifier based mutual information, conditional mutual information estimation; conditional independence testing☆34Updated 5 years ago
- [NeurIPS 2020 Spotlight Oral] "Training Stronger Baselines for Learning to Optimize", Tianlong Chen*, Weiyi Zhang*, Jingyang Zhou, Shiyu …☆26Updated 2 years ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆55Updated 3 years ago
- Estimation of mutual information (MI) distribution with Gaussian mixture models (GMMs)☆17Updated last week
- Tools for examining the causal structure of artificial neural networks with information theory☆21Updated 4 years ago
- ☆10Updated last year
- ☆22Updated 3 years ago
- Anderson accelerated Douglas-Rachford splitting☆29Updated 3 years ago
- A Python implementation of Approximate Message Passing (AMP) algorithms for LASSO☆25Updated 5 years ago
- ☆12Updated last year
- Riemannian optimization on the symplectic Stiefel manifold☆12Updated 2 years ago