locuslab / JIIO-DEQLinks
Efficient joint input optimization and inference with DEQ
☆10Updated 3 years ago
Alternatives and similar repositories for JIIO-DEQ
Users that are interested in JIIO-DEQ are comparing it to the libraries listed below
Sorting:
- The Wasserstein Distance and Optimal Transport Map of Gaussian Processes☆52Updated 4 years ago
- Featurized Density Ratio Estimation☆20Updated 4 years ago
- Neural Fixed-Point Acceleration for Convex Optimization☆29Updated 2 years ago
- Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022☆44Updated 3 years ago
- 🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)☆18Updated 2 years ago
- Bayesian model reduction for probabilistic machine learning☆11Updated 2 weeks ago
- Official data and code for our paper Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning☆48Updated 4 years ago
- Variational Reinforcement Learning☆16Updated 11 months ago
- [ICLR 2022] Path integral sampler☆48Updated last year
- Experiments for Meta-Learning Symmetries by Reparameterization☆56Updated 4 years ago
- Library for Auto-Encoding Sequential Monte Carlo☆18Updated last year
- A community repository for benchmarking Bayesian methods☆11Updated 2 years ago
- Public Release of Plan2vec Implementation in pyTorch☆56Updated 2 years ago
- ☆17Updated 4 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models☆45Updated 2 years ago
- Euclidean Wasserstein-2 optimal transportation☆47Updated last year
- Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)☆21Updated 2 years ago
- This is the official source code for Sequential Neural Processes.☆40Updated 2 years ago
- JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"☆43Updated 4 years ago
- This repository contains the source code to perform Geometry-aware Bayesian Optimization (GaBO) on Riemannian manifolds.☆52Updated 3 years ago
- ☆22Updated 5 years ago
- Official implementation of Transformer Neural Processes☆78Updated 2 years ago
- ☆11Updated 2 years ago
- ☆30Updated 4 years ago
- Repo for our paper "Repulsive deep ensembles are Bayesian"☆19Updated 3 years ago
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Updated 4 years ago
- ☆42Updated 2 years ago
- ☆32Updated 2 years ago
- Deep Generalized Schrödinger Bridge, NeurIPS 2022 Oral☆49Updated 2 years ago