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Machine-learned climate model corrections from a global storm-resolving model
Anna Kwa
Affinity Workshop
Accurate Machine-Learning-Based classification of Leukemia from Blood Smear Images
Simon Mekit · Kokeb Dese Gebremeskel
A hybrid Reduced Basis and Machine-Learning algorithm for building Surrogate Models: a first application to electromagnetism
Alejandro Ribes · Ruben Persicot · Lucas Meyer · Jean-Pierre Ducreux
Sat 7:35 Machine-learning, distribution shifts and extrapolation in the Earth System
Markus Reichstein
Tue 9:00 A composable machine-learning approach for steady-state simulations on high-resolution grids
Rishikesh Ranade · Chris Hill · Lalit Ghule · Jay Pathak
Robustifying machine-learned algorithms for efficient grid operation
Nicolas Christianson · Christopher Yeh · Tongxin Li · Mahdi Torabi Rad · Azarang Golmohammadi · Adam Wierman
Wed 9:00 Neural Basis Models for Interpretability
Filip Radenovic · Abhimanyu Dubey · Dhruv Mahajan
Wed 14:00 Scalable Interpretability via Polynomials
Abhimanyu Dubey · Filip Radenovic · Dhruv Mahajan
Wed 9:00 On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach
Dennis Wei · Rahul Nair · Amit Dhurandhar · Kush Varshney · Elizabeth Daly · Moninder Singh
Is Attention Interpretation? A Quantitative Assessment On Sets
Jonathan D. Haab · Nicolas Deutschmann · Maria Rodriguez Martinez
MAFEA: Multimodal Attribution Framework for Embodied AI
Vidhi Jain · Jayant Sravan Tamarapalli · Sahiti Yerramilli · Yonatan Bisk
Tue 14:00 Making Sense of Dependence: Efficient Black-box Explanations Using Dependence Measure
Paul Novello · Thomas FEL · David Vigouroux