jeremyhengjm / DiffusionBridge
☆16Updated 2 months ago
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)☆48Updated 4 years ago
- Official implementation of Deep Momentum Schrödinger Bridge☆25Updated last year
- Noise Contrastive Estimation (NCE) in PyTorch☆32Updated last month
- Official code for the ICLR 2021 paper Neural ODE Processes☆72Updated 2 years ago
- Entropic Optimal Transport Benchmark (NeurIPS 2023).☆23Updated last year
- Featurized Density Ratio Estimation☆20Updated 3 years ago
- Personal implementation of "Variational Inference with Normalizing Flows" by [Rezende, et al., 2015] in PyTorch☆22Updated 5 years ago
- Code release for "Stochastic Optimal Control Matching"☆33Updated 8 months ago
- PyTorch implementation of the NCDSSM models presented in the ICML '23 paper "Neural Continuous-Discrete State Space Models for Irregularl…☆25Updated last year
- ☆19Updated 2 months ago
- [ICLR2024] Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data☆34Updated 2 months ago
- An elegant adaptive importance sampling algorithms for simulations of multi-modal distributions (NeurIPS'20)☆40Updated 2 years ago
- ☆16Updated last year
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 4 years ago
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆31Updated 3 years ago
- NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models☆16Updated 6 months ago
- ☆18Updated 3 years ago
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆10Updated 2 years ago
- Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances☆47Updated last year
- Normalizing Flows with a resampled base distribution☆46Updated 2 years ago
- code for "Neural Jump Ordinary Differential Equations"☆29Updated 2 years ago
- ☆24Updated 2 years ago
- ☆13Updated last year
- ☆32Updated 10 months ago
- ☆24Updated last year
- Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics☆51Updated 2 years ago
- ☆28Updated 3 weeks ago
- ☆23Updated 2 years ago
- Neural Diffusion Processes☆77Updated 8 months ago
- This is the code for the paper Embrace the Gap: VAEs perform Independent Mechanism Analysis, showing that optimizing the ELBO is equivale…☆23Updated last year