vdeborto / cdsb
☆21Updated 2 years ago
Related projects: ⓘ
- Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).☆33Updated 6 months ago
- ☆15Updated 2 years ago
- NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models☆11Updated 10 months ago
- PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…☆21Updated 8 months ago
- Entropic Optimal Transport Benchmark (NeurIPS 2023).☆18Updated 5 months ago
- Implementation of Action Matching☆35Updated last year
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆49Updated last month
- Implementation of Action Matching for the Schrödinger equation☆22Updated last year
- ☆17Updated 2 years ago
- PyTorch implementation for "Training and Inference on Any-Order Autoregressive Models the Right Way", NeurIPS 2022 Oral, TPM 2023 Best Pa…☆11Updated last year
- ☆31Updated 2 years ago
- [ICML2022] Variational Wasserstein gradient flow☆18Updated last year
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆29Updated 2 years ago
- PyTorch Implementation of Diffusion Schrodinger Bridge Matching☆109Updated last year
- Implementation of Implicit Graphon Neural Representation☆12Updated last year
- Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.☆38Updated 7 months ago
- Neural Diffusion Processes☆71Updated last month
- PyTorch implementation of "Kernel Neural Optimal Transport" (ICLR 2023)☆22Updated 11 months ago
- Code for the paper "Disentangled Generative Models for Robust Prediction of System Dynamics"☆14Updated last year
- A set of tests for evaluating large-scale algorithms for Wasserstein-1 transport computation (NeurIPS'22).☆19Updated last week
- ☆21Updated 4 years ago
- ☆19Updated last year
- ☆18Updated this week
- Normalizing Flows with a resampled base distribution☆43Updated 2 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆71Updated 2 years ago
- Information-Theoretic Diffusion: A brand new diffusion model / density estimator based on information theory.☆29Updated 2 months ago
- ☆39Updated 4 years ago
- ☆30Updated 3 months ago
- GP Sinkhorn Implementation, paper: https://www.mdpi.com/1099-4300/23/9/1134☆22Updated 2 years ago
- Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).☆67Updated last year