slachapelle / disentanglement_via_mechanism_sparsity
☆17Updated last year
Alternatives and similar repositories for disentanglement_via_mechanism_sparsity:
Users that are interested in disentanglement_via_mechanism_sparsity are comparing it to the libraries listed below
- Code for the paper: "Independent mechanism analysis, a new concept?"☆24Updated last year
- ☆28Updated last year
- VAEs and nonlinear ICA: a unifying framework☆33Updated 4 years ago
- DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks☆51Updated 11 months ago
- Repository for "Differentiable Causal Discovery from Interventional Data"☆72Updated 3 years ago
- ☆22Updated last year
- Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)☆32Updated 3 years ago
- Code for "Bayesian Structure Learning with Generative Flow Networks"☆83Updated 2 years ago
- Code for ICE-BeeM paper - NeurIPS 2020☆86Updated 3 years ago
- Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"☆83Updated 10 months ago
- ☆53Updated 6 months ago
- Code for "Causal autoregressive flows" - AISTATS, 2021☆44Updated 3 years ago
- Amortized Inference for Causal Structure Learning, NeurIPS 2022☆63Updated last week
- This is the code for the paper Embrace the Gap: VAEs perform Independent Mechanism Analysis, showing that optimizing the ELBO is equivale…☆23Updated 9 months ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆70Updated 2 years ago
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 2 years ago
- GP Sinkhorn Implementation, paper: https://www.mdpi.com/1099-4300/23/9/1134☆22Updated 2 years ago
- VAEs and nonlinear ICA: a unifying framework☆46Updated 5 years ago
- This repository contains code for applying Riemannian geometry in machine learning.☆77Updated 3 years ago
- Bayesian active learning with EPIG data acquisition☆28Updated 2 weeks ago
- Differentiable DAG Sampling (ICLR 2022)☆37Updated 2 years ago
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆42Updated 2 years ago
- ☆38Updated 4 years ago
- DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021☆47Updated 11 months ago
- Dataset repository for the 2024 paper "The Causal Chambers: Real Physical Systems as a Testbed for AI Methodology" by Juan L. Gamella, Jo…☆24Updated 3 weeks ago
- ☆32Updated 2 years ago
- Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"☆54Updated last year
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆44Updated last year
- ☆22Updated last year
- Code repository of the paper "CITRIS: Causal Identifiability from Temporal Intervened Sequences" and "iCITRIS: Causal Representation Lear…☆50Updated last year