KU-LIM-Lab / hdm-official
Official code release of Hilbert Diffusion Model (PyTorch ver.)
☆12Updated 7 months ago
Alternatives and similar repositories for hdm-official:
Users that are interested in hdm-official are comparing it to the libraries listed below
- Code release for "Stochastic Optimal Control Matching"☆31Updated 7 months ago
- [ICLR 2022] Path integral sampler☆45Updated last year
- Pytorch implementation of neural processes and variants☆27Updated 8 months ago
- ☆16Updated last year
- Deep Generalized Schrödinger Bridge, NeurIPS 2022 Oral☆47Updated 2 years ago
- Score-based generative models for compact manifolds☆108Updated last year
- [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".☆30Updated 3 months ago
- Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)☆61Updated 2 weeks ago
- ☆19Updated last month
- NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models☆15Updated 5 months ago
- Code repository for Particle Denoising Diffusion Sampler☆12Updated 11 months ago
- Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022☆82Updated 3 years ago
- [NeurIPS'23 Spotlight] Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance (LPS), in PyTorch☆29Updated 11 months ago
- Neural Diffusion Processes☆77Updated 7 months ago
- Learning energy decompositions for partial inference in GFlowNets☆15Updated 9 months ago
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆32Updated 2 years ago
- Official implementation of Transformer Neural Processes☆71Updated 2 years ago
- Implementation of Action Matching☆40Updated last year
- Official implementation of Deep Momentum Schrödinger Bridge☆24Updated last year
- PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…☆24Updated last year
- ☆138Updated last year
- Entropic Optimal Transport Benchmark (NeurIPS 2023).☆22Updated last year
- ☆26Updated 8 months ago
- ☆38Updated last year
- PyTorch Implementation of Diffusion Schrodinger Bridge Matching☆150Updated last month
- Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.☆56Updated last year
- ☆16Updated 3 years ago
- PyTorch implementation of Variational Diffusion Models.☆78Updated 11 months ago
- [ICLR'22] Multi-Task Neural Processes☆8Updated 2 years ago
- Collecting research materials on neural samplers with diffusion/flow models☆44Updated 3 weeks ago