yiboyang / wgd
Official project page for Estimating the Rate-Distortion Function by Wasserstein Gradient Descent
☆17Updated last year
Alternatives and similar repositories for wgd:
Users that are interested in wgd are comparing it to the libraries listed below
- Code for Neural Estimation of the Rate-Distortion Function With Applications to Operational Source Coding☆12Updated last year
- Featurized Density Ratio Estimation☆20Updated 3 years ago
- Efficient Riemannian Optimization on Stiefel Manifold via Cayley Transform☆38Updated 5 years ago
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 5 years ago
- ☆16Updated 6 months ago
- Difference-of-Entropies (DoE) Estimator☆25Updated 2 years ago
- Kernel Stein Discrepancy Descent : a method to sample from unnormalized densities☆21Updated 11 months ago
- ☆39Updated 5 years ago
- Code for Global Convergence of Block Coordinate Descent in Deep Learning (ICML 2019)☆37Updated 5 years ago
- Official codes for Scalable Infomin Learning, NeurIPS 2022☆13Updated 2 years ago
- ☆11Updated 2 years ago
- Mutual information estimators and benchmark☆46Updated 2 months ago
- Code for "Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance", NeurIPS 2022.☆17Updated 2 years ago
- Simple (and cheap!) neural network uncertainty estimation☆62Updated last month
- Repository for the paper "Riemannian Laplace approximations for Bayesian neural networks"☆11Updated last year
- Experiments on trade-off among optimization, generalization and conflict aversion in multi-objective learning (MOL), and introducing MoDo…☆13Updated last year
- Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).☆37Updated last year
- Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)☆18Updated 3 years ago
- Spectral Tensor Train Parameterization of Deep Learning Layers☆15Updated 3 years ago
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆31Updated 3 years ago
- Code for ICE-BeeM paper - NeurIPS 2020☆86Updated 3 years ago
- ☆9Updated 5 years ago
- Code of the paper "Beyond calibration: estimating the grouping loss of modern neural networks" published in ICLR 2023.☆11Updated last year
- Code for the ICML 2021 and ICLR 2022 papers: Skew Orthogonal Convolutions, Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100☆18Updated 3 years ago
- Lossless compression using Probabilistic Circuits☆16Updated 3 years ago
- Classifier based mutual information, conditional mutual information estimation; conditional independence testing☆34Updated 5 years ago
- A Python implementation of Approximate Message Passing (AMP) algorithms for LASSO☆26Updated 5 years ago
- [ICLR 2019] "ALISTA: Analytic Weights Are As Good As Learned Weights in LISTA", by Jialin Liu*, Xiaohan Chen*, Zhangyang Wang and Wotao Y…☆70Updated 3 years ago
- ☆32Updated 2 years ago
- Information-Theoretic Diffusion: A brand new diffusion model / density estimator based on information theory.☆32Updated 8 months ago