A Relaxed Projection Control in the Context of Inverse Optimal Control for Discrete Nonlinear Systems. - Ethan King; Hien T. Tran (Allerton, 2019)

Real-time implementation and analysis of a modified energy based controller for the swing-up of an inverted pendulum on a cart. - Emese Kennedy; Ethan King; Hien T. Tran (Eur. J. Control, 2019)

Solving the Dynamics-Aware Economic Dispatch Problem with the Koopman Operator. - Ethan King; Craig Bakker; Arnab Bhattacharya 008; Samrat Chatterjee; Feng Pan; Matthew R. Oster; Casey J. Perkins (e-Energy, 2021)

Koopman-based Differentiable Predictive Control for the Dynamics-Aware Economic Dispatch Problem. - Ethan King; Ján Drgona; Aaron Tuor; Shrirang Abhyankar; Craig Bakker; Arnab Bhattacharya 008; Draguna L. Vrabie (ACC, 2022)

Augmentation of MS/MS Libraries with Spectral Interpolation for Improved Identification. - Ethan King; Richard Overstreet; Julia Nguyen; Danielle Ciesielski (J. Chem. Inf. Model., 2022)

Multi-level optimization with the koopman operator for data-driven, domain-aware, and dynamic system security. - Matthew R. Oster; Ethan King; Craig Bakker; Arnab Bhattacharya 008; Samrat Chatterjee; Feng Pan (Reliab. Eng. Syst. Saf., 2023)

Metric Learning to Accelerate Convergence of Operator Splitting Methods. - Ethan King; James Kotary; Ferdinando Fioretto; Ján Drgona (CDC, 2024)

Stars: Sensor-Agnostic Transformer Architecture for Remote Sensing. - Ethan King; Jaime Rodriguez; Diego Llanes; Timothy Doster; Tegan Emerson; James Koch (WHISPERS, 2024)

Metric Learning to Accelerate Convergence of Operator Splitting Methods for Differentiable Parametric Programming. - Ethan King; James Kotary; Ferdinando Fioretto; Ján Drgona (CoRR, 2024)

QC-GN2oMS2: a Graph Neural Net for High Resolution Mass Spectra Prediction. - Richard Overstreet; Ethan King; Grady Clopton; Julia Nguyen; Danielle Ciesielski (J. Chem. Inf. Model., 2024)

Neural lumped parameter differential equations with application in friction-stir processing. - James Koch; WoongJo Choi; Ethan King; David Garcia; Hrishikesh Das; Tianhao Wang 012; Ken Ross; Keerti Kappagantula (J. Intell. Manuf., 2025)

First Contact: Data-driven Friction-Stir Process Control. - James Koch; Ethan King; WoongJo Choi; Megan Ebers; David Garcia; Ken Ross; Keerti Kappagantula (CoRR, 2025)

A Method for Learning to Solve Parametric Bilevel Optimization with Coupling Constraints. - James Kotary; Himanshu Sharma; Ethan King; Draguna L. Vrabie; Ferdinando Fioretto; Ján Drgona (CoRR, 2025)