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Machine-learned climate model corrections from a global storm-resolving model
Anna Kwa
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
Affinity Workshop
Accurate Machine-Learning-Based classification of Leukemia from Blood Smear Images
Simon Mekit · Kokeb Dese Gebremeskel
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
Learning from Data through Human-Machine Collaboration
Sara Pido · Pietro Crovari · Pietro Pinoli
Thu 14:00 First Contact: Unsupervised Human-Machine Co-Adaptation via Mutual Information Maximization
Siddharth Reddy · Sergey Levine · Anca Dragan
Associative memory via covariance-learning predictive coding networks
Mufeng Tang · Tommaso Salvatori · Yuhang Song · Beren Millidge · Thomas Lukasiewicz · Rafal Bogacz
Thu 14:00 Using natural language and program abstractions to instill human inductive biases in machines
Sreejan Kumar · Carlos G. Correa · Ishita Dasgupta · Raja Marjieh · Michael Y Hu · Robert Hawkins · Jonathan D Cohen · nathaniel daw · Karthik Narasimhan · Tom Griffiths
Xtal2DoS: Attention-based Crystal to Sequence Learning for Density of States Prediction
Junwen Bai · Yuanqi Du · Yingheng Wang · Shufeng Kong · John Gregoire · Carla Gomes
Thoughts on the Applicability of Machine Learning to Scientific Discovery and Possible Future Research Directions (Perspective)
Shiro Takagi