Linear95 / TC-estimationLinks
Code for AISTATS 2023 paper - Estimating Total Correlation with Mutual Information Estimators
☆17Updated last year
Alternatives and similar repositories for TC-estimation
Users that are interested in TC-estimation are comparing it to the libraries listed below
Sorting:
- Mutual Information Neural Entropic Estimation☆26Updated 2 years ago
- Difference-of-Entropies (DoE) Estimator☆26Updated 3 years ago
- Implementation of a PyTorch Mutual Information Estimation Toolkit☆22Updated last year
- PyTorch implementation of Representation Learning with Contrastive Predictive Coding by Van den Oord et al. (2018)☆89Updated 4 years ago
- Mutual Information Neural Estimation (Pytorch)☆12Updated 5 years ago
- Conditional Mutual Informaation Neural Estimator☆14Updated 5 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
- ☆33Updated 4 years ago
- Classifier based mutual information, conditional mutual information estimation; conditional independence testing☆35Updated 6 years ago
- Robust Learning with the Hilbert-Schmidt Independence Criterion☆49Updated 5 years ago
- Pytorch Implementation of the Nonlinear Information Bottleneck☆41Updated last year
- A Tensorflow implementation Mutual Information estimation methods☆48Updated 2 years ago
- Repository for Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification (NeurIPS 2024)☆44Updated last year
- A Pytorch implementation of missing data imputation using optimal transport.☆105Updated 4 years ago
- [NeurIPS 2023, Spotlight] Rank-N-Contrast: Learning Continuous Representations for Regression☆129Updated last year
- Bayesian Attention Modules☆35Updated 4 years ago
- ☆42Updated 5 years ago
- code of the CVPR 2020 paper "Learning to Optimize on SPD Manifolds"☆13Updated 5 years ago
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆77Updated 5 years ago
- Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning☆45Updated 2 years ago
- VAEs and nonlinear ICA: a unifying framework☆49Updated 6 years ago
- Complex domain recurrent neural network gating and Stiefel-manifold optimization in TensorFlow, Neural Information Processing Systems (Ne…☆50Updated 4 years ago
- Code for the paper "Rethinking Importance Weighting for Deep Learning under Distribution Shift".☆30Updated 4 years ago
- ☆29Updated 3 years ago
- ☆42Updated 5 years ago
- Code for paper: SDE-Net: Equipping Deep Neural network with Uncertainty Estimates☆116Updated 5 years ago
- Code for ECML/PKDD paper: "LSMI-Sinkhorn: Semi-supervised Mutual Information Estimation with Optimal Transport"☆16Updated 4 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
- ☆16Updated 5 years ago
- Official PyTorch implementation of Hyperbolic Neural Networks++☆79Updated 4 years ago