volagold / fce-2dLinks
Flow Contrastive Estimation (FCE) PyTorch Implementation on 2D data
☆11Updated 3 years ago
Alternatives and similar repositories for fce-2d
Users that are interested in fce-2d are comparing it to the libraries listed below
Sorting:
- Noise Contrastive Estimation (NCE) in PyTorch☆32Updated 7 months ago
- ☆18Updated last year
- PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…☆25Updated last year
- Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022☆87Updated 3 years ago
- ☆20Updated 8 months ago
- Repo for our paper "Repulsive deep ensembles are Bayesian"☆19Updated 3 years ago
- Neural Diffusion Processes☆81Updated last year
- Code for paper "Compositional Sculpting of Iterative Generative Processes"☆24Updated 2 years ago
- Official implementation of Transformer Neural Processes☆78Updated 3 years ago
- Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, …☆86Updated 2 years ago
- Euclidean Wasserstein-2 optimal transportation☆47Updated 2 years ago
- ☆34Updated 2 months ago
- Entropic Optimal Transport Benchmark (NeurIPS 2023).☆26Updated last year
- PyTorch implementation of Stein Variational Gradient Descent☆45Updated 2 years ago
- [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".☆38Updated 10 months ago
- Official implementation of Deep Momentum Schrödinger Bridge☆28Updated last year
- Density Ratio Estimation via Infinitesimal Classification (AISTATS 2022 Oral)☆20Updated 3 years ago
- NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models☆17Updated 11 months ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆108Updated last year
- ☆32Updated 3 years ago
- [ICLR 2022] Path integral sampler☆52Updated 2 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆44Updated 4 months ago
- Score-based generative models for compact manifolds☆116Updated last year
- ☆16Updated 2 years ago
- ☆31Updated last year
- Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).☆39Updated last year
- All You Need is a Good Functional Prior for Bayesian Deep Learning (JMLR 2022)☆20Updated 3 years ago
- Codes for ICLR 21 paper: Neural Approximate Sufficient Statistics for Implicit Models☆20Updated 3 years ago
- Learning the optimal transport map via input convex neural neworks☆41Updated 5 years ago
- ☆12Updated last year