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Matthew Li
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Redatuming physical systems using symmetric autoencoders


Aug 05, 2021
Pawan Bharadwaj, Matthew Li, Laurent Demanet

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Accurate and Robust Deep Learning Framework for Solving Wave-Based Inverse Problems in the Super-Resolution Regime


Jun 02, 2021
Matthew Li, Laurent Demanet, Leonardo Zepeda-Núñez

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* 22 pages 
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Wide-band butterfly network: stable and efficient inversion via multi-frequency neural networks


Nov 24, 2020
Matthew Li, Laurent Demanet, Leonardo Zepeda-Núñez

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Towards Trainable Saliency Maps in Medical Imaging


Nov 15, 2020
Mehak Aggarwal, Nishanth Arun, Sharut Gupta, Ashwin Vaswani, Bryan Chen, Matthew Li, Ken Chang, Jay Patel, Katherine Hoebel, Mishka Gidwani, Jayashree Kalpathy-Cramer, Praveer Singh

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* Machine Learning for Health (ML4H) at NeurIPS 2020 - Extended Abstract 
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