jshe / wasserstein-2
☆13Updated 5 years ago
Alternatives and similar repositories for wasserstein-2:
Users that are interested in wasserstein-2 are comparing it to the libraries listed below
- ☆15Updated 4 years ago
- Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)☆21Updated 2 years ago
- Neural Fixed-Point Acceleration for Convex Optimization☆29Updated 2 years ago
- ☆24Updated 3 years ago
- Sliced Wasserstein Generator☆23Updated 6 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆32Updated last year
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago
- ☆20Updated 4 years ago
- Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)☆28Updated 5 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Monotone operator equilibrium networks☆51Updated 4 years ago
- ☆31Updated 4 years ago
- Scaled MMD GAN☆36Updated 5 years ago
- A pytorch implementation of Amortized Stein Variational Gradient Descent/ Stein GAN☆18Updated 6 years ago
- ☆29Updated 3 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆13Updated 6 years ago
- ☆53Updated 7 months ago
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning☆33Updated 4 years ago
- Code release for the ICLR paper☆20Updated 6 years ago
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆53Updated 4 months ago
- A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"☆20Updated 6 years ago
- Geometric Certifications of Neural Nets☆41Updated 2 years ago
- [AAAI 2020 Oral] Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution☆37Updated 4 years ago
- Limitations of the Empirical Fisher Approximation☆47Updated 4 years ago
- ☆26Updated 6 years ago
- Learning the optimal transport map via input convex neural neworks☆41Updated 4 years ago
- Code for paper "Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow"☆19Updated 4 years ago
- PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)☆23Updated 2 years ago
- Code for the paper "Semi-Conditional Normalizing Flows for Semi-Supervised Learning"☆10Updated 4 years ago