SALMONN family: A suite of advanced multi-modal LLMs

(Crafter + NetHack) in JAX. ICML 2024 Spotlight.

An open-source toolbox for fast sampling of diffusion models. Official implementations of our works published in ICML, NeurIPS, CVPR, J. Stat. Mech.

All graph/GNN papers accepted at the International Conference on Machine Learning (ICML) 2024.

[ICML 2024] See More Details: Efficient Image Super-Resolution by Experts Mining

JAX reimplementation of the DeepMind paper "Genie: Generative Interactive Environments"

[ICML 2024] Let Go of Your Labels with Unsupervised Transfer

Python library for multiparameter persistence

[ICML 2024] Language Models Represent Beliefs of Self and Others

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

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

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

🔥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

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

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

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

Summaries of ICML 2024 papers

[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.

GNNs Also Deserve Editing, and They Need It More Than Once. ICML 2024

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

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

[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?"

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

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

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

Official implementation of "Simpler, Faster, and Better Combinatorial Approximations for Cluster Deletion"