[ICML 2024] Author's Implementation of RVI-SAC

Code for the ICML 2024 paper "Connecting the Dots: Is Mode-Connectedness the Key to Feasible Sample-Based Inference in Bayesian Neural Networks?"

Code and Data for the paper: Structure- and Function-Aware Substitution Matrices via Learnable Graph Matching (RECOMB 2024 & ICML 2024 Differentiable Almost Everything Workshop)

Official Repository of "Sign Gradient Descent-based Neuronal Dynamics: ANN-to-SNN Conversion Beyond ReLU Network" (ICML 2024)

Repository of the paper "Exploring sequence landscape of biosynthetic gene clusters with protein language models" published at ICML2024 workshop Machine Learning for Life and Material Science: From Theory to Industry applications

[ICML 2024] Code repository for "TIC-TAC: A Framework for Improved Covariance Estimation in Deep Heteroscedastic Regression". We address the problem of sub-optimal covariance estimation in deep heteroscedastic regression by proposing a new model and metric.

Compositional Capabilities of Autoregressive Transformers: A Study on Synthetic, Interpretable Tasks

Summaries of ICML 2024 papers

Official implementation for Zhong & Le et al., GNNs Also Deserve Editing, and They Need It More Than Once. ICML 2024

Interesting papers related to graph data mining. (published on ICML, IJCAI, KDD 2024... )

The code repository for ICML24 paper "Tabular Insights, Visual Impacts: Transferring Expertise from Tables to Images"

Source code of the ICML24 paper "Self-Composing Policies for Scalable Continual Reinforcement Learning" (selected for oral presentation)

Official code for "ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference" (TMLR 2024)

Official PyTorch implementation of the ICML 2024 paper "Hyperbolic Active Learning for Semantic Segmentation under Domain Shift"

Official PyTorch implementation of "Stochastic Conditional Diffusion Models for Robust Semantic Image Synthesis" (ICML 2024).

[NeurIPS2023,ICML2024] Multiparameter Persistence for Machine Learning

Official code for "Enabling Uncertainty Estimation in Iterative Neural Networks" (ICML 2024)

🔥OSN in PyTorch (ICML 2024)

[ICML 2024] Outlier-Efficient Hopfield Layers for Large Transformer-Based Models

🐼PANDA: Expanded Width-Aware Message Passing Beyond Rewiring, ICML 2024