jeremyhengjm / DiffusionBridge
☆14Updated 10 months ago
Related projects ⓘ
Alternatives and complementary repositories for DiffusionBridge
- PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)☆47Updated 4 years ago
- Entropic Optimal Transport Benchmark (NeurIPS 2023).☆19Updated 8 months ago
- ☆18Updated last year
- Methods and experiments for assumed density SDE approximations☆11Updated 2 years ago
- Official implementation of Deep Momentum Schrödinger Bridge☆20Updated last year
- An elegant adaptive importance sampling algorithms for simulations of multi-modal distributions (NeurIPS'20)☆39Updated 2 years ago
- Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances☆46Updated last year
- code for "Neural Jump Ordinary Differential Equations"☆27Updated last year
- Euclidean Wasserstein-2 optimal transportation☆44Updated last year
- ☆30Updated 2 years ago
- Example applications of path signatures☆35Updated 3 months ago
- ☆17Updated 2 years ago
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆29Updated 2 years ago
- PyTorch implementation of the NCDSSM models presented in the ICML '23 paper "Neural Continuous-Discrete State Space Models for Irregularl…☆24Updated last year
- ☆12Updated last year
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 3 years ago
- Featurized Density Ratio Estimation☆20Updated 3 years ago
- Noise Contrastive Estimation (NCE) in PyTorch☆31Updated last year
- Official code for the ICLR 2021 paper Neural ODE Processes☆71Updated 2 years ago
- Normalizing Flows with a resampled base distribution☆44Updated 2 years ago
- ☆23Updated last year
- Codes for ICLR 21 paper: Neural Approximate Sufficient Statistics for Implicit Models☆19Updated 2 years ago
- ☆13Updated 7 months ago
- Learning the optimal transport map via input convex neural neworks☆41Updated 4 years ago
- ☆25Updated last week
- Code release for "Stochastic Optimal Control Matching"☆27Updated 3 months ago
- ☆23Updated last year
- Code for: "Neural Controlled Differential Equations for Online Prediction Tasks"☆36Updated 2 years ago
- Refining continuous-in-depth neural networks☆39Updated 3 years ago
- Repository for "Generative Flow Networks as Entropy-Regularized RL" (AISTATS-2024, Oral)☆25Updated 7 months ago