Transformers and Large Language Models for Chemistry and Drug Discovery

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Transformers and Large Language Models for Chemistry and Drug Discovery

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Robust Classification Using Contractive Hamiltonian Neural ODEs

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Semantics-Aware Spatial-Temporal Binaries for Cross-Modal Video Retrieval

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Fidelity Estimation Improves Noisy-Image Classification with Pretrained Networks

Running Speed Estimation Using Shoe-Worn Inertial Sensors: Direct Integration, Linear, and Personalized Model

Equation of State of Fluid Methane from First Principles with Machine Learning Potentials