ilkhem / icebeemLinks
Code for ICE-BeeM paper - NeurIPS 2020
☆87Updated 4 years ago
Alternatives and similar repositories for icebeem
Users that are interested in icebeem are comparing it to the libraries listed below
Sorting:
- VAEs and nonlinear ICA: a unifying framework☆40Updated 5 years ago
- Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)☆33Updated 4 years ago
- Code for "Causal autoregressive flows" - AISTATS, 2021☆45Updated 4 years ago
- VAEs and nonlinear ICA: a unifying framework☆50Updated 6 years ago
- ☆25Updated 2 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆76Updated 3 years ago
- ☆18Updated 2 years ago
- Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"☆90Updated last year
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆78Updated 3 years ago
- Amortized Inference for Causal Structure Learning, NeurIPS 2022☆71Updated last year
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 3 years ago
- Code repository of the paper "CITRIS: Causal Identifiability from Temporal Intervened Sequences" and "iCITRIS: Causal Representation Lear…☆57Updated 2 years ago
- ☆53Updated last year
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 6 years ago
- This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).☆53Updated 4 years ago
- Disentangled gEnerative cAusal Representation (DEAR)☆65Updated 3 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Updated last year
- Gaussian Process Prior Variational Autoencoder☆87Updated 7 years ago
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆77Updated 6 years ago
- Repository for "Differentiable Causal Discovery from Interventional Data"☆77Updated 4 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆44Updated 8 months ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆60Updated 4 years ago
- Code for Sliced Gromov-Wasserstein☆69Updated 6 years ago
- This repository contains code for applying Riemannian geometry in machine learning.☆78Updated 4 years ago
- Classifier Conditional Independence Test: A CI test that uses a binary classifier (XGBoost) for CI testing☆48Updated 2 years ago
- Classifier based mutual information, conditional mutual information estimation; conditional independence testing☆36Updated 6 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 4 years ago
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆27Updated 5 years ago
- Code for the paper "Contrastive Learning Inverts the Data Generating Process".☆92Updated last year
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆45Updated 2 years ago