jeremyhengjm / DiffusionBridge
☆14Updated last year
Alternatives and similar repositories for DiffusionBridge:
Users that are interested in DiffusionBridge are comparing it to the libraries listed below
- PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)☆47Updated 4 years ago
- Official implementation of Deep Momentum Schrödinger Bridge☆22Updated last year
- Entropic Optimal Transport Benchmark (NeurIPS 2023).☆20Updated 10 months ago
- An elegant adaptive importance sampling algorithms for simulations of multi-modal distributions (NeurIPS'20)☆39Updated 2 years ago
- ☆19Updated last year
- Noise Contrastive Estimation (NCE) in PyTorch☆31Updated last year
- NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models☆14Updated 3 months ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆70Updated 2 years ago
- Methods and experiments for assumed density SDE approximations☆11Updated 3 years ago
- code for "Neural Jump Ordinary Differential Equations"☆28Updated last year
- ☆31Updated 8 months ago
- Normalizing Flows with a resampled base distribution☆44Updated 2 years ago
- Code release for "Stochastic Optimal Control Matching"☆30Updated 5 months ago
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆57Updated 4 months ago
- Example applications of path signatures☆37Updated 2 weeks ago
- ☆24Updated last year
- ☆17Updated last year
- Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics☆49Updated 2 years ago
- ☆15Updated 10 months ago
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆30Updated 3 years ago
- ☆23Updated last year
- GP Sinkhorn Implementation, paper: https://www.mdpi.com/1099-4300/23/9/1134☆22Updated 2 years ago
- ☆37Updated 4 years ago
- Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022☆80Updated 2 years ago
- [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".☆31Updated last month
- [ICLR2024] Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data☆27Updated this week
- [ICLR 2022] Path integral sampler☆43Updated last year
- Repository for the paper "Riemannian Laplace approximations for Bayesian neural networks"☆10Updated last year
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 3 years ago
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆31Updated 2 years ago