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
|
|
Workshop
|
Sat 6:55
|
OPT 2022: Optimization for Machine Learning
Courtney Paquette · Sebastian Stich · Quanquan Gu · Cristóbal Guzmán · John Duchi
|
|
Poster
|
|
Nonnegative Tensor Completion via Integer Optimization
Caleb Bugg · Chen Chen · Anil Aswani
|
|
Affinity Workshop
|
|
Re-QGAN: an optimized adversarial quantum circuit learning framework
Anais Sandra Nguemto Guiawa
|
|
Workshop
|
Fri 9:30
|
Let’s Give Domain Experts a Choice by Creating Many Approximately-Optimal Machine Learning Models
Cynthia Rudin
|
|
Expo Talk Panel
|
Mon 8:30
|
Machine Learning and Optimization for Automated Trading at HRT
Miles Lubin · Marc Khoury
|
|
Poster
|
Tue 14:00
|
A Deep Reinforcement Learning Framework for Column Generation
Cheng Chi · Amine Aboussalah · Elias Khalil · Juyoung Wang · Zoha Sherkat-Masoumi
|
|