Evaluation of partitioning algorithms for trustworthy out-of-distribution evaluation of machine learning models in biochemistryRaúl Fernández DíazLam Thanh Hoanget al.2025VIBE 2025
Causally Reliable Concept Bottleneck ModelsGiovanni De FeliceArianna Casanova Floreset al.2025NeurIPS 2025
Enhancing UV Spectral Prediction through Auxiliary Task, Curriculum Learning, and Curvature LimitationHajime ShinoharaAkihiro Kishimotoet al.2025NeurIPS 2025
Foundation Models Enabling Multi-Scale Battery Materials Discovery: From Molecules To DevicesVidushi SharmaAndy Teket al.2025NeurIPS 2025
Automated Structure Elucidation at Human-Level Accuracy via a Multimodal Multitask Language ModelMarvin AlbertsNina Hartrampfet al.2025NeurIPS 2025
Pareto-Guided Reinforcement Learning for Multi-Objective ADMET Optimization in Generative Drug DesignHoang-my NguyenNguyet Hang Vuet al.2025NeurIPS 2025
Learning Resilient Molecular Representations with Dynamic Multi-Modal FusionIndra Priyadarsini SSeiji Takedaet al.2025NeurIPS 2025
A Self-Supervised Framework for Robust Multi-Modal Molecular Representation LearningIndra Priyadarsini SSeiji Takedaet al.2025NeurIPS 2025
Accelerating Material Discovery for Metal Organic Frameworks using Large Language ModelsSultan AlrowiliMathan Kumar Eswaranet al.2025NeurIPS 2025
Language Model Enabled Structure Prediction from Infrared Spectra of MixturesMarvin AlbertsFilippo Ficarraet al.2025NeurIPS 2025