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Workshop: AI for Science: Scaling in AI for Scientific Discovery

Contributed Talk

2024
in
Workshop: AI for Science: Scaling in AI for Scientific Discovery

Abstract

(1) 15:40-15:50: Cross-modality Matching and Prediction of Perturbation Responses with Labeled Gromov-Wasserstein Optimal Transport Jayoung Ryu, Romain Lopez, Charlotte Bunne, Luca Pinello, Aviv Regev (2) 15:50-16:00: Hyperspectral Unmixing for Raman Spectroscopy via Physics-Constrained Autoencoders Dimitar Georgiev, Álvaro Fernández-Galiana, Simon Vilms Pedersen, Georgios Papadopoulos, Ruoxiao Xie, Molly M. Stevens, Mauricio Barahona (3) 16:00-16:10: Enhancing Peak Assignment in CNMR Spectroscopy: A Novel Approach Using Multimodal Alignment Hao Xu, Zhengyang Zhou, Pengyu Hong

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