James Koch

According to our database, James Koch authored at least 8 papers between 2022 and 2025.

Collaborative distances:

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

2025

First Contact: Data-driven Friction-Stir Process Control.

James Koch, Ethan King, WoongJo Choi, Megan Ebers, David Garcia, Ken Ross, Keerti Kappagantula

CoRR, July, 2025

Neural lumped parameter differential equations with application in friction-stir processing.

James Koch, WoongJo Choi, Ethan King, David Garcia, Hrishikesh Das, Tianhao Wang, Ken Ross, Keerti Kappagantula

J. Intell. Manuf., February, 2025

2024

Graph Neural Ordinary Differential Equations for Coarse-Grained Socioeconomic Dynamics.

James Koch, Pranab Roy Chowdhury, Heng Wan, Parin Bhaduri, Jim Yoon, Vivek Srikrishnan, W. Brent Daniel

CoRR, 2024

Neural Differential Algebraic Equations.

James Koch, Madelyn Shapiro, Himanshu Sharma, Draguna L. Vrabie, Ján Drgona

CoRR, 2024

Stars: Sensor-Agnostic Transformer Architecture for Remote Sensing.

Ethan King, Jaime Rodriguez, Diego Llanes, Timothy Doster, Tegan Emerson, James Koch

Proceedings of the 14th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2024

Data-Driven Invertible Neural Surrogates of Atmospheric Transmission.

James Koch, Brenda Forland, Bruce Bernacki, Timothy Doster, Tegan Emerson

Proceedings of the IGARSS 2024, 2024

2022

Physics-informed Machine Learning of Parameterized Fundamental Diagrams.

James Koch, Thomas Maxner, Vinay Amatya, Andisheh Ranjbari, Chase Dowling

CoRR, 2022

Structural Inference of Networked Dynamical Systems with Universal Differential Equations.

James Koch, Zhao Chen, Aaron Tuor, Ján Drgona, Draguna L. Vrabie

CoRR, 2022