|
Workshop
|
|
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
|
|
|
Workshop
|
Sat 7:35
|
Machine-learning, distribution shifts and extrapolation in the Earth System
Markus Reichstein
|
|
|
Workshop
|
|
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
|
|
|
Poster
|
Tue 9:00
|
A composable machine-learning approach for steady-state simulations on high-resolution grids
Rishikesh Ranade · Chris Hill · Lalit Ghule · Jay Pathak
|
|
|
Workshop
|
|
Robustifying machine-learned algorithms for efficient grid operation
Nicolas Christianson · Christopher Yeh · Tongxin Li · Mahdi Torabi Rad · Azarang Golmohammadi · Adam Wierman
|
|
|
Poster
|
Wed 14:00
|
Scalable Interpretability via Polynomials
Abhimanyu Dubey · Filip Radenovic · Dhruv Mahajan
|
|
|
Poster
|
Wed 9:00
|
Neural Basis Models for Interpretability
Filip Radenovic · Abhimanyu Dubey · Dhruv Mahajan
|
|
|
Poster
|
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
|
|
|
Workshop
|
|
Is Attention Interpretation? A Quantitative Assessment On Sets
Jonathan D. Haab · Nicolas Deutschmann · Maria Rodriguez Martinez
|
|
|
Workshop
|
|
MAFEA: Multimodal Attribution Framework for Embodied AI
Vidhi Jain · Jayant Sravan Tamarapalli · Sahiti Yerramilli · Yonatan Bisk
|
|
|
Poster
|
Tue 14:00
|
Making Sense of Dependence: Efficient Black-box Explanations Using Dependence Measure
Paul Novello · Thomas FEL · David Vigouroux
|
|
