Using Foundation Models to Promote Digitization and Reproducibility in Scientific ExperimentationAmol ThakkarAndrea Giovanniniet al.2023NeurIPS 2023
Coarse-graining via reparametrization avoids force matching and back-mappingNima DehmamyCsaba Bothet al.2023NeurIPS 2023
A Framework for Toxic PFAS Replacement based on GFlowNet and Chemical Foundation ModelEduardo Almeida SoaresFlaviu Cipciganet al.2023NeurIPS 2023
Feature Importance Random Search for Hyperparameter Optimization of Data-Consistent Model InversionStephen ObonyoIsaiah Onando Mulang’et al.2023NeurIPS 2023
MHG-GNN: Combination of Molecular Hypergraph Grammar with Graph Neural NetworkAkihiro KishimotoHiroshi Kajinoet al.2023NeurIPS 2023
Quantum Theory and Application of Contextual Optimal TransportNicola MariellaJannis Bornet al.2023NeurIPS 2023
Machine learning derived sub-seasonal to seasonal extremesDaniel Salles CivitareseBianca Zadrozny2023NeurIPS 2023
Discovery of Novel Reticular Materials for Carbon Dioxide Capture using GFlowNetsFlaviu CipciganJonathan Boothet al.2023NeurIPS 2023
Understanding Mode Connectivity via Parameter Space SymmetryBo ZhaoNima Dehmamyet al.2023NeurIPS 2023