Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)
☆72Mar 14, 2025Updated 11 months ago
Alternatives and similar repositories for sde_sampler
Users that are interested in sde_sampler 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
- [ICLR 2022] Path integral sampler☆52Aug 21, 2023Updated 2 years ago
- Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.☆68Apr 11, 2025Updated 10 months ago
- ☆36Mar 29, 2025Updated 11 months ago
- ☆11Oct 15, 2023Updated 2 years ago
- Code repository for Particle Denoising Diffusion Sampler☆15Apr 2, 2024Updated last year
- Implementing Controlled Monte Carlo Diffusions (ICLR 2024)☆17Sep 30, 2024Updated last year
- Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.☆67Mar 11, 2024Updated last year
- code for "Generalized Schrödinger Bridge Matching" (ICLR 2024).☆87Apr 1, 2024Updated last year
- ☆32May 30, 2024Updated last year
- ☆13Jul 25, 2023Updated 2 years ago
- Reward fine-tuning for Stable Diffusion models based on stochastic optimal control, including Adjoint Matching☆64May 30, 2025Updated 9 months ago
- ☆32Feb 14, 2024Updated 2 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
- Code for Gaussian Score Matching Variational Inference☆35Feb 23, 2025Updated last year
- Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022☆88Feb 22, 2022Updated 4 years ago
- ☆37Jun 26, 2024Updated last year
- Deep Generalized Schrödinger Bridge, NeurIPS 2022 Oral☆52Oct 28, 2022Updated 3 years ago
- ☆22Feb 4, 2025Updated last year
- ☆19May 11, 2023Updated 2 years ago
- ☆23Aug 15, 2023Updated 2 years ago
- Entropic Optimal Transport Benchmark (NeurIPS 2023).☆31Mar 21, 2024Updated last year
- ☆11Jan 28, 2023Updated 3 years ago
- A PyTorch implementation of the paper "MMoT: Mixture-of-Modality-Tokens Transformer for Composed Multimodal Conditional Image Synthesis".☆12Jan 16, 2023Updated 3 years ago
- Official PyTorch implementation of Diffusive Gibbs Sampler (DiGS), proposed in the paper Diffusive Gibbs Sampling (published at ICML 2024…☆10Aug 15, 2024Updated last year
- Probabilistic Finite Volume Method based on Affine Gaussian Process inference☆11Jun 10, 2024Updated last year
- Code for paper "Compositional Sculpting of Iterative Generative Processes"☆25Oct 2, 2023Updated 2 years ago
- Implementation of Action Matching for the Schrödinger equation☆25Jun 18, 2023Updated 2 years ago
- code for "Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching"☆130Jul 24, 2025Updated 7 months ago
- One Diffusion model implementation base on LibTorch☆13Mar 22, 2023Updated 2 years ago
- Implementation for ACProp ( Momentum centering and asynchronous update for adaptive gradient methdos, NeurIPS 2021)☆16Oct 11, 2021Updated 4 years ago
- Official implementation of Deep Momentum Schrödinger Bridge☆30Nov 5, 2023Updated 2 years ago
- Collecting research materials on neural samplers with diffusion/flow models☆59Jul 4, 2025Updated 7 months ago
- [ICLR 2023]DEIS: Fast Sampling of Diffusion Models with Exponential Integrator☆161Feb 20, 2023Updated 3 years ago
- Implementation of the paper "Neural Wasserstein Gradient Flows for Discrepancies with Riesz Kernels"☆11Mar 18, 2024Updated last year
- Code for the paper "Molecule Design by Latent Space Energy-based Modeling and Gradual Distribution Shifting" in UAI 2023☆15Nov 15, 2023Updated 2 years ago
- ☆14Oct 18, 2023Updated 2 years ago
- ☆13Sep 13, 2023Updated 2 years ago