pierreablin / ksddescentLinks
Kernel Stein Discrepancy Descent : a method to sample from unnormalized densities
☆22Updated last year
Alternatives and similar repositories for ksddescent
Users that are interested in ksddescent are comparing it to the libraries listed below
Sorting:
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆35Updated 3 years ago
- Source code for my PhD thesis: Backpropagation Beyond the Gradient☆20Updated 2 years ago
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 6 years ago
- Normalizing Flows with a resampled base distribution☆47Updated 3 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆73Updated 4 years ago
- ☆48Updated last year
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago
- ☆51Updated 2 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆88Updated 2 years ago
- Convex potential flows☆84Updated 3 years ago
- Normalizing Flows using JAX☆84Updated last year
- Riemannian Optimization Using JAX☆52Updated last year
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆171Updated 3 years ago
- ☆37Updated 5 years ago
- Code for Gaussian Score Matching Variational Inference☆35Updated 6 months ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆55Updated last year
- Implementation of Action Matching for the Schrödinger equation☆23Updated 2 years ago
- Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)☆19Updated 3 years ago
- Regularized Neural ODEs (RNODE)☆85Updated 4 years ago
- Differentiable and numerically stable implementation of the matrix exponential☆33Updated 4 years ago
- Code for "Variational Autoencoder with Learned Latent Structure"☆34Updated 4 years ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆108Updated last year
- A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation (NeurIPS 2021)☆43Updated 3 years ago
- Stochastic Normalizing Flows☆78Updated 3 years ago
- Library for normalizing flows and neural flows.☆25Updated 3 years ago
- ☆54Updated last year
- Deep Generalized Schrödinger Bridge, NeurIPS 2022 Oral☆52Updated 2 years ago
- [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)☆22Updated 4 years ago
- Learning the optimal transport map via input convex neural neworks☆41Updated 5 years ago