smolavipour / CMI_Neural_Estimator
Conditional Mutual Informaation Neural Estimator
☆12Updated 4 years ago
Alternatives and similar repositories for CMI_Neural_Estimator:
Users that are interested in CMI_Neural_Estimator are comparing it to the libraries listed below
- Classifier based mutual information, conditional mutual information estimation; conditional independence testing☆34Updated 5 years ago
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆74Updated 5 years ago
- Mutual Information Neural Entropic Estimation☆27Updated last year
- VAEs and nonlinear ICA: a unifying framework☆47Updated 5 years ago
- Code for AISTATS 2023 paper - Estimating Total Correlation with Mutual Information Estimators☆16Updated last year
- Difference-of-Entropies (DoE) Estimator☆25Updated 2 years ago
- Mutual Information Neural Estimation (Pytorch)☆12Updated 4 years ago
- Code for ICE-BeeM paper - NeurIPS 2020☆86Updated 3 years ago
- demonstration of the information bottleneck theory for deep learning☆61Updated 7 years ago
- VAEs and nonlinear ICA: a unifying framework☆34Updated 4 years ago
- LDS-toolbox: a matlab toolbox for linear dynamical systems (LDSs) modeling☆13Updated 6 years ago
- Implementation of a PyTorch Mutual Information Estimation Toolkit☆16Updated 11 months ago
- Testing methods for estimating KL-divergence from samples.☆62Updated 11 months ago
- Code for "Generative causal explanations of black-box classifiers"☆33Updated 4 years ago
- A Tensorflow implementation Mutual Information estimation methods☆46Updated last year
- Code for our ICLR19 paper "Wasserstein Barycenters for Model Ensembling", Pierre Dognin, Igor Melnyk, Youssef Mroueh, Jarret Ross, Cicero…☆22Updated 5 years ago
- ☆39Updated 5 years ago
- Keras implementation (only for tensorflow backend) of MINE: Mutual Information Neural Estimation☆20Updated 5 years ago
- Code for Global Convergence of Block Coordinate Descent in Deep Learning (ICML 2019)☆37Updated 5 years ago
- [NeurIPS 2023] Riemannian Residual Neural Networks (https://arxiv.org/abs/2006.10254)☆18Updated last year
- Kernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)☆58Updated last year
- Code for the paper "Rethinking Importance Weighting for Deep Learning under Distribution Shift".☆29Updated 3 years ago
- Contrastive Variational Autoencoders☆63Updated 6 years ago
- A Pytorch implementation of missing data imputation using optimal transport.☆96Updated 3 years ago
- Disentangled gEnerative cAusal Representation (DEAR)☆59Updated 2 years ago
- Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)☆32Updated 3 years ago
- Mutual Information Neural Estimation in Pytorch☆314Updated 5 months ago
- Pytorch implementation of Deep Variational Information Bottleneck☆184Updated 6 years ago
- Project for the Large Scale Optimization course at Skoltech☆22Updated 6 years ago
- Latent optimal transport (LOT) for low rank transport and clustering☆19Updated 3 years ago