desi-ivanova / idadLinks
Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods
☆21Updated 3 years ago
Alternatives and similar repositories for idad
Users that are interested in idad are comparing it to the libraries listed below
Sorting:
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 6 years ago
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago
- ☆15Updated 3 years ago
- Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design☆39Updated 4 years ago
- [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)☆23Updated 5 years ago
- ☆52Updated 2 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 6 years ago
- Code repo for "Function-Space Distributions over Kernels"☆32Updated 4 years ago
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 3 years ago
- ☆54Updated last year
- Laplace Redux -- Effortless Bayesian Deep Learning☆43Updated 6 months ago
- Normalizing Flows with a resampled base distribution☆47Updated 3 years ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆58Updated 4 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆74Updated 5 years ago
- Code for the paper: "Independent mechanism analysis, a new concept?"☆25Updated 2 years ago
- Normalizing Flows using JAX☆85Updated 2 years ago
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆25Updated 3 years ago
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Updated 5 years ago
- Codes for ICLR 21 paper: Neural Approximate Sufficient Statistics for Implicit Models☆20Updated 3 years ago
- Code required to reproduce the experiments in Auxiliary Variational MCMC☆17Updated 7 years ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆42Updated 5 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 4 years ago
- Bayesian Optimization with Density-Ratio Estimation☆24Updated 2 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Updated last year
- Code for our paper: Online Variational Filtering and Parameter Learning☆20Updated 4 years ago
- Monotone operator equilibrium networks☆54Updated 5 years ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 4 years ago
- Euclidean Wasserstein-2 optimal transportation☆47Updated 2 years ago
- Implementations of Normalizing Flows in Pytorch/Pyro☆18Updated 5 years ago
- Code to minimize the Variational Contrastive Divergence (VCD)☆29Updated 6 years ago