Quantum Theory and Application of Contextual Optimal TransportNicola MariellaJannis Bornet al.2023NeurIPS 2023
Feature Importance Random Search for Hyperparameter Optimization of Data-Consistent Model InversionStephen ObonyoIsaiah Onando Mulang’et al.2023NeurIPS 2023
Discovery of Novel Reticular Materials for Carbon Dioxide Capture using GFlowNetsFlaviu CipciganJonathan Boothet al.2023NeurIPS 2023
A Framework for Toxic PFAS Replacement based on GFlowNet and Chemical Foundation ModelEduardo Almeida SoaresFlaviu Cipciganet al.2023NeurIPS 2023
Understanding Mode Connectivity via Parameter Space SymmetryBo ZhaoNima Dehmamyet al.2023NeurIPS 2023
Unveiling the Secrets of 1H-NMR Spectroscopy: A Novel Approach Utilizing Attention MechanismsOliver SchilterMarvin Albertset al.2023NeurIPS 2023
Representation Learning for Person or Entity-centric Knowledge Graphs: an application in HealthcareChristos TheodoropoulosNatasha Mulliganet al.2023K-CAP 2023
AutoPeptideML: An Automated Machine Learning Method for Building Peptide Bioactivity Predictors Leveraging Protein Language ModelsRaúl Fernández DíazRodrigo Cossio-pérezet al.2023ICBG 2023
In-silico Polymer Generation using fine-tuned Regression Transformers with Open Reference DataRonaldo GiroHsiang Han Hsuet al.2023MRS Fall Meeting 2023
Pre-Treatment Methods for Machine Learning in Finer UV Spectrum InferenceHajime ShinoharaIndra Priyadarsini Set al.2023MRS Fall Meeting 2023