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2020 – today
- 2023
[j3]Hossein J. Sharahi
, Christopher N. Acconcia, Matthew Li, Anne Martel, Kullervo Hynynen:
A Convolutional Neural Network for Beamforming and Image Reconstruction in Passive Cavitation Imaging. Sensors 23(21): 8760 (2023)- 2022
- [j2]Matthew Li, Christopher McComb:
Using Physics-Informed Generative Adversarial Networks to Perform Super-Resolution for Multiphase Fluid Simulations. J. Comput. Inf. Sci. Eng. 22(4) (2022) - [j1]Matthew Li, Laurent Demanet, Leonardo Zepeda-Núñez:
Wide-Band Butterfly Network: Stable and Efficient Inversion Via Multi-Frequency Neural Networks. Multiscale Model. Simul. 20(4): 1191-1227 (2022) - 2021
- [i3]Matthew Li, Laurent Demanet, Leonardo Zepeda-Núñez:
Accurate and Robust Deep Learning Framework for Solving Wave-Based Inverse Problems in the Super-Resolution Regime. CoRR abs/2106.01143 (2021) - [i2]Pawan Bharadwaj, Matthew Li, Laurent Demanet:
Redatuming physical systems using symmetric autoencoders. CoRR abs/2108.02537 (2021) - 2020
- [c4]Matthew Li, Nicolas Chan, Viraat Chandra, Krishna Muriki:
Cluster Usage Policy Enforcement Using Slurm Plugins and an HTTP API. PEARC 2020: 232-238 - [i1]Matthew Li, Laurent Demanet, Leonardo Zepeda-Núñez:
Wide-band butterfly network: stable and efficient inversion via multi-frequency neural networks. CoRR abs/2011.12413 (2020)
2010 – 2019
- 2014
- [c3]Julio J. Valdés, Catherine Cheung, Matthew Li:
Sensor dynamics in high dimensional phase spaces via nonlinear transformations: Application to helicopter loads monitoring. CIDM 2014: 365-372 - 2012
- [c2]Catherine Cheung, Julio J. Valdés, Matthew Li:
Use of evolutionary computation techniques for exploration and prediction of helicopter loads. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c1]Julio J. Valdés, Catherine Cheung, Matthew Li:
Towards conservative helicopter loads prediction using computational intelligence techniques. IJCNN 2012: 1-8
Coauthor Index
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