A Fixed-Architecture Framework for Stochastic Nonlinear Controller Synthesis. - Ethan N. Evans; Wassim M. Haddad 001; Evangelos A. Theodorou (ACC, 2018)

Variational Optimization Based Reinforcement Learning for Infinite Dimensional Stochastic Systems. - Ethan N. Evans; Marcus A. Pereira; George I. Boutselis; Evangelos A. Theodorou (CoRL, 2019)

Spatio-Temporal Stochastic Optimization: Theory and Applications to Optimal Control and Co-Design. - Ethan N. Evans; Andrew P. Kendall; George I. Boutselis; Evangelos A. Theodorou (Robotics: Science and Systems, 2020)

Leveraging Stochasticity for Open Loop and Model Predictive Control of Spatio-Temporal Systems. - George I. Boutselis; Ethan N. Evans; Marcus A. Pereira; Evangelos A. Theodorou (Entropy, 2021)

Stochastic spatio-temporal optimization for control and co-design of systems in robotics and applied physics. - Ethan N. Evans; Andrew P. Kendall; Evangelos A. Theodorou (Auton. Robots, 2022)

A Quick Introduction to Quantum Machine Learning for Non-Practitioners. - Ethan N. Evans; Dominic Byrne; Matthew G. Cook (CoRR, 2024)

Learning with SASQuaTCh: a Novel Variational Quantum Transformer Architecture with Kernel-Based Self-Attention. - Ethan N. Evans; Matthew G. Cook; Zachary P. Bradshaw; Margarite L. LaBorde (CoRR, 2024)

Predicting Chaotic Systems with Quantum Echo-state Networks. - Erik Connerty; Ethan N. Evans; Gerasimos Angelatos; Vignesh Narayanan (CoRR, 2024)

Quantum Observers: A NISQ Hardware Demonstration of Chaotic State Prediction Using Quantum Echo-state Networks. - Erik Connerty; Ethan N. Evans; Gerasimos Angelatos; Vignesh Narayanan (CoRR, 2025)