locuslab / JIIO-DEQLinks
Efficient joint input optimization and inference with DEQ
☆10Updated 4 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:
- Featurized Density Ratio Estimation☆20Updated 4 years ago
- The Wasserstein Distance and Optimal Transport Map of Gaussian Processes☆52Updated 5 years ago
- Neural Fixed-Point Acceleration for Convex Optimization☆29Updated 3 years ago
- Library for Auto-Encoding Sequential Monte Carlo☆18Updated last year
- Public Release of Plan2vec Implementation in pyTorch☆57Updated 3 years ago
- Variational Reinforcement Learning☆16Updated last year
- This is an article about using variational autoencoders for the generation of new data. It contains the code for generating the plots and…☆12Updated 4 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆88Updated 3 years ago
- [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models☆47Updated 2 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆58Updated 4 years ago
- This is the official source code for Sequential Neural Processes.☆40Updated 3 years ago
- A community repository for benchmarking Bayesian methods☆12Updated 2 years ago
- Code for Goal-Aware Prediction: Learning to Model what Matters☆20Updated 5 years ago
- Monotone operator equilibrium networks☆54Updated 5 years ago
- A pytorch implementation of Amortized Stein Variational Gradient Descent/ Stein GAN☆18Updated 7 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Code for "Variational Autoencoder with Learned Latent Structure"☆34Updated 4 years ago
- Repo for our paper "Repulsive deep ensembles are Bayesian"☆19Updated 4 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 6 years ago
- A repository with implementations of major papers on Gaussian Process regression models, implemented from scratch in Python, notably incl…☆14Updated 3 years ago
- ☆21Updated 6 years ago
- ☆15Updated 4 years ago
- All You Need is a Good Functional Prior for Bayesian Deep Learning (JMLR 2022)☆20Updated 3 years ago
- Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022☆46Updated 3 years ago
- ☆12Updated last year
- Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".☆29Updated 10 months ago
- Plannable Approximations to MDP Homomorphisms: Equivariance under Actions☆30Updated 5 years ago
- Official implementation of Transformer Neural Processes☆78Updated 3 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 4 years ago
- 🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)☆18Updated 2 years ago