kyg0910 / CI-iVAE
☆11Updated last year
Alternatives and similar repositories for CI-iVAE:
Users that are interested in CI-iVAE are comparing it to the libraries listed below
- VAEs and nonlinear ICA: a unifying framework☆47Updated 5 years ago
- 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
- Poisson Identifiable VAE (pi-VAE)☆51Updated 3 years ago
- Disentangled gEnerative cAusal Representation (DEAR)☆60Updated 2 years ago
- Efficient Conditionally Invariant Representation Learning (ICLR 2023, Oral)☆21Updated 2 years ago
- Code for "Causal autoregressive flows" - AISTATS, 2021☆44Updated 4 years ago
- [NeurIPS 2023] Riemannian Residual Neural Networks (https://arxiv.org/abs/2006.10254)☆19Updated last year
- LEAP is a tool for discovering latent temporal causal relations with gradient-based neural network.☆35Updated 2 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆72Updated 3 years ago
- ☆25Updated last year
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆44Updated 2 years ago
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆74Updated 5 years ago
- Contrastive Variational Autoencoders☆65Updated 6 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
- ☆20Updated 3 years ago
- Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style☆51Updated 3 years ago
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆27Updated 5 years ago
- PyTorch implementation of Swap-VAE: A self-supervised approach for generating neural activity☆13Updated 3 years ago
- ☆38Updated 4 years ago
- ☆21Updated 2 years ago
- Code for `BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery`, Neurips 2021☆26Updated 3 years ago
- The Official PyTorch Implementation of "Poisson Variational Autoencoder" (NeurIPS 2024 Spotlight Paper)☆19Updated last month
- ☆17Updated last year
- Implementation for the paper 'Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal Transport' (ICL…☆16Updated 4 months ago
- Code for Sliced Gromov-Wasserstein☆68Updated 5 years ago
- Implementation of a model to make VAE and GMM train from each other☆26Updated 3 years ago
- Learning Autoencoders with Relational Regularization☆46Updated 4 years ago
- [NeurIPS'23 Spotlight] Official Repo for "Extraction and Recovery of Dpatio-temporal Structure in Latent Dynamics Alignment with Diffusio…☆48Updated last month