Contributed Talk
in
Workshop: AI for Science: Scaling in AI for Scientific Discovery
Abstract
(1) 10:40-10:50: DiffusionPDE: Generative PDE-Solving Under Partial Observation Jiahe Huang, Guandao Yang, Zichen Wang, Jeong Joon Park (2) 10:50-11:00: Causal Discovery over High-Dimensional Structured Hypothesis Spaces with Causal Graph Partitioning Ashka Shah, Adela Frances DePavia, Nathaniel C Hudson, Ian Foster, Rick Stevens (3) 11:00-11:10: Large-Scale Discovery of Experimental Designs in Super-Resolution Microscopy with XLuminA Carla Rodríguez, Sören Arlt, Leonhard Möckl, Mario Krenn (4) 11:10-11:20: Prototype-Based Methods in Explainable AI and Emerging Opportunities in the Geosciences Anushka Narayanan, Karianne Bergen (5) 11:20-11:30 PINNACLE: PINN Adaptive ColLocation and Experimental points selection Gregory Kang Ruey Lau, Apivich Hemachandra, See-Kiong Ng, Bryan Kian Hsiang Low