Justin Baker

According to our database, Justin Baker authored at least 11 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Learning Proper Orthogonal Decomposition of Complex Dynamics Using Heavy-ball Neural ODEs.

Justin Baker, Elena Cherkaev, Akil Narayan, Bao Wang

J. Sci. Comput., May, 2023

Regularized Reduced Order Lippman-Schwinger-Lanczos Method for Inverse Scattering Problems in the Frequency Domain.

Justin Baker, Elena Cherkaev, Vladimir Druskin, Shari Moskow, Mikhail Zaslavsky

CoRR, 2023

Implicit Graph Neural Networks: A Monotone Operator Viewpoint.

Justin Baker, Qingsong Wang, Cory D. Hauck, Bao Wang

Proceedings of the International Conference on Machine Learning, 2023

2022

Proximal Implicit ODE Solvers for Accelerating Learning Neural ODEs.

Justin Baker, Hedi Xia, Yiwei Wang, Elena Cherkaev, Akil Narayan, Long Chen, Jack Xin, Andrea L. Bertozzi, Stanley J. Osher, Bao Wang

CoRR, 2022

Learning POD of Complex Dynamics Using Heavy-ball Neural ODEs.

Justin Baker, Elena Cherkaev, Akil Narayan, Bao Wang

CoRR, 2022

2020

Determining sample size and length of follow-up for smartphone-based digital phenotyping studies.

Ian Barnett, John Torous, Harrison T. Reeder, Justin Baker, Jukka-Pekka Onnela

J. Am. Medical Informatics Assoc., 2020

Digital Twin of the Australian Square Kilometre Array (ASKAP).

Tomasz Bednarz, Dominic Branchaud, Florence Wang, Justin Baker, Malte Marquarding

Proceedings of the SIGGRAPH Asia 2020 Posters, 2020

Soft Robotic Compression Garment to Assist Novice Meditators.

Esther W. Foo, Justin Baker, Crystal Compton, Brad T. Holschuh

Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020

2019

Data Center Simulations Deployed in MATLAB and Simulink Using a Cyber-Physical Systems Lens.

Moises Levy, Daniel Raviv, Justin Baker

Proceedings of the IEEE 9th Annual Computing and Communication Workshop and Conference, 2019

Data Center Predictions using MATLAB Machine Learning Toolbox.

Moises Levy, Daniel Raviv, Justin Baker

Proceedings of the IEEE 9th Annual Computing and Communication Workshop and Conference, 2019

2011

Detection and classification of multiple finger movements using a chronically implanted Utah Electrode Array.

Joshua Egan, Justin Baker, Paul A. House, Bradley Greger

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011