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Poster
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Tue 14:00
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Data-Driven Conditional Robust Optimization
Abhilash Reddy Chenreddy · Nymisha Bandi · Erick Delage
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Workshop
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Deep-S2SWind: A data-driven approach for improving Sub-seasonal wind predictions
Noelia Otero Felipe · Pascal Horton
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Poster
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Tue 14:00
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VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning
Che Wang · Xufang Luo · Keith Ross · Dongsheng Li
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Poster
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Wed 9:00
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Beyond IID: data-driven decision-making in heterogeneous environments
Omar Besbes · Will Ma · Omar Mouchtaki
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Workshop
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DL-Corrector-Remapper: A grid-free bias-correction deep learning methodology for data-driven high-resolution global weather forecasting
Tao Ge · Jaideep Pathak · Akshay Subramaniam · Karthik Kashinath
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Workshop
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LiFe-net: Data-driven Modelling of Time-dependent Temperatures and Charging Statistics Of Tesla’s LiFePo4 EV Battery
Jeyhun Rustamov · Luisa Fennert · Nico Hoffmann
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Workshop
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Fri 16:11
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DL-Corrector-Remapper: A grid-free bias-correction deep learning methodology for data-driven high-resolution global weather forecasting
Tao Ge · Jaideep Pathak · Akshay Subramaniam · Karthik Kashinath
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Workshop
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COVID-Net Biochem: An Explainability-driven Framework to Building Machine Learning Models for Predicting Survival and Kidney Injury of COVID-19 Patients from Clinical and Biochemistry Data
Hossein Aboutalebi · Maya Pavlova · Mohammad Javad Shafiee · Adrian Florea · Andrew Hryniowski · Alexander Wong
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Poster
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Tue 9:00
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Data augmentation for efficient learning from parametric experts
Alexandre Galashov · Josh Merel · Nicolas Heess
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Workshop
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Data Feedback Loops: Model-driven Amplification of Dataset Biases
Rohan Taori · Tatsunori Hashimoto
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Workshop
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Physics-Driven Convolutional Autoencoder Approach for CFD Data Compressions
Alberto Olmo · Ahmed Zamzam · Andrew Glaws · Ryan King
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Workshop
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Sat 13:20
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Data Feedback Loops: Model-driven Amplification of Dataset Biases
Rohan Taori · Tatsunori Hashimoto
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