[ICLR 2022] Path integral sampler
☆53Aug 21, 2023Updated 2 years ago
Alternatives and similar repositories for pis
Users that are interested in pis are comparing it to the libraries listed below
Sorting:
- ☆18Sep 27, 2023Updated 2 years ago
- [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".☆46Dec 9, 2024Updated last year
- Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)☆72Mar 14, 2025Updated 11 months ago
- Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.☆67Mar 11, 2024Updated last year
- Code release for "Stochastic Optimal Control Matching"☆39Aug 14, 2024Updated last year
- [ICML2022] Variational Wasserstein gradient flow☆24Oct 17, 2022Updated 3 years ago
- ☆11Oct 15, 2023Updated 2 years ago
- ☆36Mar 29, 2025Updated 11 months ago
- ☆19May 11, 2023Updated 2 years ago
- ☆52Feb 27, 2023Updated 3 years ago
- Riemannian Convex Potential Maps☆67Mar 31, 2023Updated 2 years ago
- Benchmarks for Model-Based Optimization☆97Apr 21, 2024Updated last year
- Cross-Domain Imitation Learning via Optimal Transport☆25Jun 24, 2022Updated 3 years ago
- Implementation of Action Matching for the Schrödinger equation☆25Jun 18, 2023Updated 2 years ago
- [ICLR 2023]DEIS: Fast Sampling of Diffusion Models with Exponential Integrator☆161Feb 20, 2023Updated 3 years ago
- ☆25Mar 26, 2024Updated last year
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆42May 8, 2022Updated 3 years ago
- ☆18Mar 31, 2024Updated last year
- Official repository for "Plug & Play Directed Evolution for Proteins with Gradient-Based Discrete MCMC"☆13Jul 18, 2023Updated 2 years ago
- Code for our TMLR paper "Distributional GFlowNets with Quantile Flows".☆13Feb 14, 2024Updated 2 years ago
- Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"☆87Feb 22, 2023Updated 3 years ago
- PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…☆26Dec 21, 2023Updated 2 years ago
- Meta Optimal Transport☆108May 25, 2023Updated 2 years ago
- ☆35Sep 12, 2022Updated 3 years ago
- Deep Generalized Schrödinger Bridge, NeurIPS 2022 Oral☆52Oct 28, 2022Updated 3 years ago
- Neural Diffusion Processes☆82Aug 4, 2024Updated last year
- ICLR25 | Official code base for Heavy-Tailed Diffusion with Denoising Levy Probabilistic Models (DLPM)☆29Feb 10, 2025Updated last year
- ☆15Feb 25, 2026Updated last week
- code for "Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching"☆130Jul 24, 2025Updated 7 months ago
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Nov 5, 2021Updated 4 years ago
- Convex potential flows☆85Nov 19, 2021Updated 4 years ago
- Canonical normalizing flows☆10Apr 30, 2019Updated 6 years ago
- ☆12Mar 15, 2023Updated 2 years ago
- Code for the ICML 2019 paper 'Conditioning by adaptive sampling for robust design'☆37Jun 4, 2021Updated 4 years ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-1 transport computation (NeurIPS'22).☆24Sep 9, 2024Updated last year
- Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.☆68Apr 11, 2025Updated 10 months ago
- JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"☆44Jun 14, 2021Updated 4 years ago
- Functional Optimal Transport: Map Estimation and Domain Adaptation for Functional data☆27Jun 7, 2021Updated 4 years ago
- Hessian backpropagation (HBP): PyTorch extension of backpropagation for block-diagonal curvature matrix approximations☆21Mar 25, 2023Updated 2 years ago