Geometric Latent Diffusion Models for 3D Molecule Generation

Advances on machine learning of graphs, covering the reading list of recent top academic conferences.

Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"

[ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift

Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation

GREAD: Graph Neural Reaction-Diffusion Networks, ICML 2023

List of papers on ICML2023.

[ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binarization.

[ICML2023] IRNeXt: Rethinking Convolutional Network Design for Image Restoration

Hrrformer: A Neuro-symbolic Self-attention Model (ICML23)

Discover and Cure: Concept-aware Mitigation of Spurious Correlation (ICML 2023)

TARDIS: Topological Algorithms for Robust DIscovery of Singularities

The proceedings of top conference in 2023 on the topic of Reinforcement Learning (RL), including: AAAI, IJCAI, NeurIPS, ICML, ICLR, ICRA, AAMAS and more.

PyTorch implementation of the NCDSSM models presented in the ICML '23 paper "Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series".

Official repository of ICML 2023 paper: Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat

The official implementation of paper PreNAS: Preferred One-Shot Learning Towards Efficient Neural Architecture Search

Official code for Fisher information embedding for node and graph learning (ICML 2023)

Official Implementation for (ICML 2023) Bit Allocation using Optimization

Official repository of "Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models" [ICML 2023]

Contextual Vision Transformers for Robust Representation Learning