siamakz / iVAE
VAEs and nonlinear ICA: a unifying framework
☆47Updated 5 years ago
Alternatives and similar repositories for iVAE:
Users that are interested in iVAE are comparing it to the libraries listed below
- VAEs and nonlinear ICA: a unifying framework☆34Updated 4 years ago
- Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)☆32Updated 3 years ago
- Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 3 years ago
- Disentangled gEnerative cAusal Representation (DEAR)☆60Updated 2 years ago
- On the Role of Sparsity and DAG Constraints for Learning Linear DAGs☆33Updated 3 years ago
- LEAP is a tool for discovering latent temporal causal relations with gradient-based neural network.☆35Updated 2 years ago
- Code for `BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery`, Neurips 2021☆26Updated 3 years ago
- Code for "Causal autoregressive flows" - AISTATS, 2021☆44Updated 4 years ago
- Efficient Conditionally Invariant Representation Learning (ICLR 2023, Oral)☆21Updated 2 years ago
- A benchmark for distribution shift in tabular data☆52Updated 10 months ago
- ☆25Updated last year
- Implementation of the MIWAE method for deep generative modelling of incomplete data sets.☆38Updated last year
- Experiments to reproduce results in Interventional Causal Representation Learning.☆24Updated 2 years ago
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆74Updated 5 years ago
- Repository for "Differentiable Causal Discovery from Interventional Data"☆74Updated 3 years ago
- Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"☆82Updated last year
- ☆17Updated last year
- Classifier based mutual information, conditional mutual information estimation; conditional independence testing☆34Updated 5 years ago
- ☆29Updated last year
- Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style☆51Updated 3 years ago
- ☆52Updated 8 months ago
- ☆23Updated 2 years ago
- Example code of Sparse Gaussian Process Attention (ICLR 2023)☆24Updated 9 months ago
- Official codebase for the paper "Provable concept learning for interpretable predictions using variational inference".☆14Updated 3 years ago
- ☆24Updated last year
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆76Updated 2 years ago
- Code for the paper "Rethinking Importance Weighting for Deep Learning under Distribution Shift".☆30Updated 4 years ago
- ☆44Updated 3 years ago
- Code Repository for SCM-VAE (IEEE Big Data)☆10Updated 2 years ago
- Code for "Generative causal explanations of black-box classifiers"☆34Updated 4 years ago