ilkhem / iVAE
VAEs and nonlinear ICA: a unifying framework
☆34Updated 4 years ago
Alternatives and similar repositories for iVAE:
Users that are interested in iVAE are comparing it to the libraries listed below
- Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)☆32Updated 3 years ago
- VAEs and nonlinear ICA: a unifying framework☆47Updated 5 years ago
- Code for "Causal autoregressive flows" - AISTATS, 2021☆44Updated 4 years ago
- Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 3 years ago
- ☆17Updated last year
- LEAP is a tool for discovering latent temporal causal relations with gradient-based neural network.☆35Updated 2 years ago
- ☆25Updated last year
- Disentangled gEnerative cAusal Representation (DEAR)☆60Updated 2 years ago
- Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"☆82Updated last year
- On the Role of Sparsity and DAG Constraints for Learning Linear DAGs☆33Updated 3 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆72Updated 3 years ago
- Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)☆27Updated 2 years ago
- Code for `BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery`, Neurips 2021☆26Updated 3 years ago
- Efficient Conditionally Invariant Representation Learning (ICLR 2023, Oral)☆21Updated 2 years ago
- Repository for "Differentiable Causal Discovery from Interventional Data"☆74Updated 3 years ago
- ☆44Updated 3 years ago
- ☆23Updated 2 years ago
- ☆52Updated 9 months ago
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆44Updated 2 years ago
- ☆23Updated 3 years ago
- Amortized Inference for Causal Structure Learning, NeurIPS 2022☆62Updated 2 months ago
- Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style☆51Updated 3 years ago
- This is the code for the paper Embrace the Gap: VAEs perform Independent Mechanism Analysis, showing that optimizing the ELBO is equivale…☆23Updated last year
- PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)☆48Updated 4 years ago
- DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021☆48Updated last year
- Code for the paper: "Independent mechanism analysis, a new concept?"☆24Updated last year
- ☆11Updated last year
- Diffusion Models for Causal Discovery☆85Updated 2 years ago
- Official codebase for the paper "Provable concept learning for interpretable predictions using variational inference".☆14Updated 3 years ago
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆59Updated 4 years ago