[ICML'24] Official PyTorch Implementation of TimeX++
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Updated
Jun 4, 2024 - Python
[ICML'24] Official PyTorch Implementation of TimeX++
This is a curated list for Information Bottleneck Principle, in memory of Professor Naftali Tishby.
About Codes for ACL 2023 paper: Exploiting! Multimodal Relation Extraction with Feature Denoising and Multimodal Topic Modeling.
[NeurIPS] Temporal Conditioning Spiking Latent Variable Models of the Neural Response to Natural Visual Scenes
Package for information-theoretic data analysis
[IJCNN 2021] Structure-Aware Hierarchical Graph Pooling using Information Bottleneck
Bottlenecks CLUB: Unifying Information-Theoretic Trade-offs among Complexity, Leakage, and Utility
Official PyTorch implementation of Fully Attentional Networks
This repository contains opensource codes for sparsity inducing approaches in deep information bottleneck models.
Modeled discriminative prior problem learning privacy-utility trade-off Private Information Bottleneck un-supervised
Code for "Attentive Variational Information Bottleneck for TCR-peptide Interaction Prediction", Grazioli et al., Bioinformatics 2022
Information bottleneck's (IB) principle applied to categorical data clustering.
[ICDE 2022]Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck
Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs
DVIB is an information bottleneck method that tries to disentangle multiview data into shared and private representations.
Information Bottleneck as Optimisation Method for SSVEP-Based BCI
Pytorch Implementation of the Nonlinear Information Bottleneck
Official repo for PAC-Bayes Information Bottleneck. ICLR 2022.
PyTorch & OpenMM implementations of deep-learning based approaches for learning and biasing reaction coordinates in molecular simulations.
Microbiome-based disease prediction with multimodal variational information bottlenecks, Grazioli et al., PLOS Computational Biology 2022
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