Agnostic Causality-Driven Enhancement of Chemical Foundation Models on Downstream TasksVictor ShirasunaEduardo Almeida Soareset al.2024NeurIPS 2024
Improving Structural Plausibility in 3D Molecule Generation via Property-Conditioned Training with Distorted MoleculesLucy VostVijil Vijilet al.2024NeurIPS 2024
NLPeople at L+M-24 Shared Task: An Ensembled Approach for Molecule Captioning from SMILESShinnosuke TanakaCarol Maket al.2024ACL 2024
Improving Performance Prediction of Electrolyte Formulations with Transformer-based Molecular Representation ModelIndra Priyadarsini SVidushi Sharmaet al.2024ICML 2024
A Multi-View Mixture-of-Experts based on Language and Graphs for Molecular Properties PredictionVictor ShirasunaEduardo Almeida Soareset al.2024ICML 2024
A Multi-View approach based on Graphs and Chemical Language Foundation Model for Molecular Properties PredictionEduardo Almeida SoaresAkihiro Kishimotoet al.2024AAAI 2024
Capturing Formulation Design of Battery Electrolytes with Chemical Large Language ModelEduardo Almeida SoaresVidushi Sharmaet al.2023NeurIPS 2023
A Framework for Toxic PFAS Replacement based on GFlowNet and Chemical Foundation ModelEduardo Almeida SoaresFlaviu Cipciganet al.2023NeurIPS 2023
Discovery of Novel Reticular Materials for Carbon Dioxide Capture using GFlowNetsFlaviu CipciganJonathan Boothet al.2023NeurIPS 2023