Official PyTorch implementation of Fully Attentional Networks

This is a curated list for Information Bottleneck Principle, in memory of Professor Naftali Tishby.

Pytorch implementation of Deep Variational Information Bottleneck

Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs

This is the official repository for our CVPR 2023 paper 'Task-Specific Fine-Tuning via Variational Information Bottleneck for Weakly-Supervised Pathology Whole Slide Image Classification'.

Official repo for PAC-Bayes Information Bottleneck. ICLR 2022.

Pytorch Implementation of the Nonlinear Information Bottleneck

[ICDE 2022]Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck

Microbiome-based disease prediction with multimodal variational information bottlenecks, Grazioli et al., PLOS Computational Biology 2022

Code for "Attentive Variational Information Bottleneck for TCR-peptide Interaction Prediction", Grazioli et al., Bioinformatics 2022

Project for the Large Scale Optimization course at Skoltech

[ICML'24] Official PyTorch Implementation of TimeX++

Implementation of Information Bottleneck with Mutual Information Neural Estimation (MINE)

About Codes for ACL 2023 paper: Exploiting! Multimodal Relation Extraction with Feature Denoising and Multimodal Topic Modeling.

A pytorch implementation of DVIB(Deep Variational Information Bottleneck)

The official repository for AAAI 2024 Oral paper "Structured Probabilistic Coding"

DVIB is an information bottleneck method that tries to disentangle multiview data into shared and private representations.

[IEEE CISS 2024, ICMLW 2023] Assessing Neural Network Representations During Training Using Noise-Resilient Diffusion Spectral Entropy

[IJCNN 2021] Structure-Aware Hierarchical Graph Pooling using Information Bottleneck

Bottlenecks CLUB: Unifying Information-Theoretic Trade-offs among Complexity, Leakage, and Utility