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)

TARDIS: Topological Algorithms for Robust DIscovery of Singularities

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

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".

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

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

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