qsh-zh / pis
[ICLR 2022] Path integral sampler
☆43Updated last year
Alternatives and similar repositories for pis:
Users that are interested in pis are comparing it to the libraries listed below
- Code release for "Stochastic Optimal Control Matching"☆30Updated 6 months ago
- Deep Generalized Schrödinger Bridge, NeurIPS 2022 Oral☆47Updated 2 years ago
- Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022☆44Updated 2 years ago
- Official implementation of Deep Momentum Schrödinger Bridge☆23Updated last year
- Code for our TMLR paper "Distributional GFlowNets with Quantile Flows".☆9Updated last year
- ☆34Updated 3 years ago
- ☆24Updated last year
- Implementation of Action Matching for the Schrödinger equation☆24Updated last year
- Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.☆54Updated 11 months ago
- Euclidean Wasserstein-2 optimal transportation☆44Updated last year
- PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…☆23Updated last year
- ☆23Updated 10 months ago
- Second-Order Neural ODE Optimizer, NeurIPS 2021 spotlight☆52Updated 3 years ago
- ☆23Updated 4 months ago
- ☆13Updated last year
- JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"☆43Updated 3 years ago
- ☆16Updated last year
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆86Updated 2 years ago
- ☆49Updated 4 years ago
- ☆19Updated 2 weeks ago
- ☆49Updated last year
- [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".☆31Updated 2 months ago
- [ICML2022] Variational Wasserstein gradient flow☆19Updated 2 years ago
- Official pytorch implementation for our ICLR 2023 paper "Latent State Marginalization as a Low-cost Approach for Improving Exploration".☆24Updated 2 years ago
- Neural Fixed-Point Acceleration for Convex Optimization☆29Updated 2 years ago
- [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models☆44Updated last year
- [ICML'21] Improved Contrastive Divergence Training of Energy Based Models☆62Updated 2 years ago
- Riemannian Convex Potential Maps☆67Updated last year
- PyTorch implementation of the mixture distribution family with implicit reparametrisation gradients.☆19Updated last year
- Gradient Estimation with Discrete Stein Operators (NeurIPS 2022)☆17Updated last year