Improved Self-supervised Molecular Representation Learning using Persistent HomologyYuankai LuoLei Shiet al.2023NeurIPS 2023
Leveraging Locality and Robustness to Achieve Massively Scalable Gaussian Process RegressionRobert AlisonAnthony Stephensonet al.2023NeurIPS 2023
Learning the Language of NMR: Structure Elucidation from NMR spectra using Transformer ModelsMarvin AlbertsFederico Zipoliet al.2023NeurIPS 2023
Capturing Formulation Design of Battery Electrolytes with Chemical Large Language ModelEduardo Almeida SoaresVidushi Sharmaet al.2023NeurIPS 2023
Understanding Mode Connectivity via Parameter Space SymmetryBo ZhaoNima Dehmamyet 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
Unveiling the Secrets of 1H-NMR Spectroscopy: A Novel Approach Utilizing Attention MechanismsOliver SchilterMarvin Albertset al.2023NeurIPS 2023
Beyond Chemical Language: A Multimodal Approach to Enhance Molecular Property PredictionEduardo Almeida SoaresEmilio Ashton Vital Brazilet al.2023NeurIPS 2023