Multi-View Mixture-of-Experts for Predicting Molecular Properties Using SMILES, SELFIES, and Graph-Based RepresentationsEduardo Almeida SoaresIndra Priyadarsini Set al.2024NeurIPS 2024
Automated, LLM enabled extraction of synthesis details for reticular materials from scientific literatureViviane T. SilvaAlexandre Rademakeret al.2024NeurIPS 2024
A Large Encoder-Decoder Polymer-Based Foundation ModelEduardo Almeida SoaresNathaniel Parket al.2024NeurIPS 2024
A Mamba-Based Foundation Model for ChemistryEmilio Ashton Vital BrazilEduardo Almeida Soareset al.2024NeurIPS 2024
Unified Lookup Tables: Privacy-Preserving Foundation ModelsNikita JanakarajanIrina Espejo Moraleset al.2024NeurIPS 2024
Agnostic Causality-Driven Enhancement of Chemical Foundation Models on Downstream TasksVictor ShirasunaEduardo Almeida Soareset al.2024NeurIPS 2024
Introduction to machine learning potentials for atomistic simulationsFabian ThiemannNiamh O’neillet al.2024Journal of Physics Condensed Matter
Language models can identify enzymatic binding sites in protein sequencesYves Gaetan Nana TeukamLoïc Kwate Dassiet al.2024Computational And Structural Biotechnology Journal
Advancing Open-Source AI in Chemistry and Materials—From Foundation Models to Integrated Frameworks to Solve Global ChallengesKristin SchmidtEduardo Almeida Soareset al.2024MRS Fall Meeting 2024
Domain-Specific Knowledge Integration Through Curriculum Learning Method in Machine Learning for Spectral AnalysisHajime ShinoharaAkihiro Kishimotoet al.2024MRS Fall Meeting 2024