cambridge-mlg / neural_diffusion_processesLinks
☆13Updated last year
Alternatives and similar repositories for neural_diffusion_processes
Users that are interested in neural_diffusion_processes are comparing it to the libraries listed below
Sorting:
- A set of tests for evaluating large-scale algorithms for Wasserstein-1 transport computation (NeurIPS'22).☆21Updated 8 months ago
- Code release for "Stochastic Optimal Control Matching"☆35Updated 9 months ago
- [ICML2022] Variational Wasserstein gradient flow☆22Updated 2 years ago
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆32Updated 3 years ago
- [ICLR 2022] Path integral sampler☆46Updated last year
- NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models☆16Updated 7 months ago
- Methods and experiments for assumed density SDE approximations☆12Updated 3 years ago
- Neural Diffusion Processes☆80Updated 10 months ago
- ☆32Updated last year
- Featurized Density Ratio Estimation☆20Updated 3 years ago
- Deep Generalized Schrödinger Bridge, NeurIPS 2022 Oral☆47Updated 2 years ago
- Implementation of Action Matching for the Schrödinger equation☆24Updated last year
- The Wasserstein Distance and Optimal Transport Map of Gaussian Processes☆52Updated 4 years ago
- Official PyTorch implementation of NPwSA: "Neural Processes with Stochastic Attention: Paying more attention to the context dataset (ICLR…☆10Updated 2 years ago
- Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen☆25Updated 4 years ago
- Official implementation of Deep Momentum Schrödinger Bridge☆25Updated last year
- Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".☆29Updated 4 months ago
- Repo for our paper "Repulsive deep ensembles are Bayesian"☆19Updated 3 years ago
- JAX implementation of the JKOnet* architecture presented in "Learning Diffusion at Lightspeed".☆29Updated 2 months ago
- Entropic Optimal Transport Benchmark (NeurIPS 2023).☆24Updated last year
- ☆52Updated 2 years ago
- ☆19Updated 3 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago
- Code for our paper: Online Variational Filtering and Parameter Learning☆18Updated 3 years ago
- ☆9Updated last year
- Neural Optimal Transport with Lagrangian Costs☆56Updated 2 weeks ago
- ☆20Updated last year
- Second-Order Neural ODE Optimizer, NeurIPS 2021 spotlight☆52Updated 3 years ago
- ☆15Updated 2 years ago
- PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)☆48Updated 4 years ago