James Koch

Orcid: 0000-0003-2787-9054

According to our database1, James Koch authored at least 9 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2025
First Contact: Data-driven Friction-Stir Process Control.
CoRR, July, 2025

Neural lumped parameter differential equations with application in friction-stir processing.
J. Intell. Manuf., February, 2025

Learning Neural Differential Algebraic Equations via Operator Splitting.
Proceedings of the 64th IEEE Conference on Decision and Control, 2025

2024
Graph Neural Ordinary Differential Equations for Coarse-Grained Socioeconomic Dynamics.
CoRR, 2024

Neural Differential Algebraic Equations.
CoRR, 2024

Stars: Sensor-Agnostic Transformer Architecture for Remote Sensing.
Proceedings of the 14th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2024

Data-Driven Invertible Neural Surrogates of Atmospheric Transmission.
Proceedings of the IGARSS 2024, 2024

2022
Physics-informed Machine Learning of Parameterized Fundamental Diagrams.
CoRR, 2022

Structural Inference of Networked Dynamical Systems with Universal Differential Equations.
CoRR, 2022


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