Linear95 / TC-estimation
Code for AISTATS 2023 paper - Estimating Total Correlation with Mutual Information Estimators
☆16Updated last year
Alternatives and similar repositories for TC-estimation:
Users that are interested in TC-estimation are comparing it to the libraries listed below
- Difference-of-Entropies (DoE) Estimator☆25Updated 2 years ago
- ☆39Updated 5 years ago
- Mutual Information Neural Entropic Estimation☆27Updated last year
- Implementation of a PyTorch Mutual Information Estimation Toolkit☆17Updated 11 months ago
- PyTorch for Neural Process in ICML 2018☆20Updated 5 years ago
- Learning Autoencoders with Relational Regularization☆46Updated 4 years ago
- Robust Learning with the Hilbert-Schmidt Independence Criterion☆45Updated 4 years ago
- Classifier based mutual information, conditional mutual information estimation; conditional independence testing☆34Updated 5 years ago
- ☆22Updated 3 years ago
- ☆29Updated 2 years ago
- This repository holds the code for the paper "Deep Conditional Gaussian Mixture Model forConstrained Clustering".☆33Updated 3 years ago
- ☆18Updated 3 years ago
- MPVAE: Multivariate Probit Variational AutoEncoder for Multi-Label Classification☆31Updated 5 months ago
- ☆30Updated 3 years ago
- [ICLR 2021] "Learning a Minimax Optimizer: A Pilot Study" by Jiayi Shen*, Xiaohan Chen*, Howard Heaton*, Tianlong Chen, Jialin Liu, Wotao…☆15Updated 3 years ago
- Conditional Mutual Informaation Neural Estimator☆12Updated 4 years ago
- Bayesian Attention Modules☆35Updated 4 years ago
- ☆42Updated 4 years ago
- Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution …☆73Updated 2 years ago
- PyTorch implementation of Pseudo-Riemannian Graph Convolutional Networks (NeurIPS'22))☆17Updated 8 months ago
- ☆19Updated last year
- Code accompanying the NeurIPS 2019 paper "GOT: An Optimal Transport framework for Graph comparison"☆41Updated last year
- An Empirical Study of Invariant Risk Minimization☆27Updated 4 years ago
- VAEs and nonlinear ICA: a unifying framework☆47Updated 5 years ago
- ☆17Updated 3 years ago
- Code for "Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance", NeurIPS 2022.☆16Updated 2 years ago
- Personal implementation of "Variational Inference with Normalizing Flows" by [Rezende, et al., 2015] in PyTorch☆22Updated 5 years ago
- Code for ECML/PKDD paper: "LSMI-Sinkhorn: Semi-supervised Mutual Information Estimation with Optimal Transport"☆16Updated 3 years ago
- An implementation of Maximum Mean Discrepancy (MMD) as a differentiable loss in PyTorch.☆33Updated 2 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 11 months ago