Keras2c: A library for converting Keras neural networks to real-time compatible C. - Rory Conlin; Keith Erickson; Joseph Abbate; Egemen Kolemen (Eng. Appl. Artif. Intell., 2021)

Exploration via Planning for Information about the Optimal Trajectory. - Viraj Mehta; Ian Char; Joseph Abbate; Rory Conlin; Mark D. Boyer; Stefano Ermon; Jeff Schneider 001; Willie Neiswanger (NeurIPS, 2022)

Monitoring Particulate Matter with Wearable Sensors and the Influence on Student Environmental Attitudes. - Frances Kane; Joseph Abbate; Eric C. Landahl; Mark J. Potosnak (Sensors, 2022)

Real-Time and Adaptive Reservoir Computing With Application to Profile Prediction in Fusion Plasma. - Azarakhsh Jalalvand; Joseph Abbate; Rory Conlin; Geert Verdoolaege; Egemen Kolemen (IEEE Trans. Neural Networks Learn. Syst., 2022)

Multimodal Prediction of Tearing Instabilities in a Tokamak. - Jaemin Seo; Rory Conlin; Andrew Rothstein; SangKyeun Kim; Joseph Abbate; Azarakhsh Jalalvand; Egemen Kolemen (IJCNN, 2023)

Offline Model-Based Reinforcement Learning for Tokamak Control. - Ian Char; Joseph Abbate; Laszlo Bardoczi; Mark D. Boyer; Youngseog Chung; Rory Conlin; Keith Erickson; Viraj Mehta; Nathan Richner; Egemen Kolemen; Jeff G. Schneider (L4DC, 2023)

Full Shot Predictions for the DIII-D Tokamak via Deep Recurrent Networks. - Ian Char; Youngseog Chung; Joseph Abbate; Egemen Kolemen; Jeff G. Schneider (CoRR, 2024)

Avoiding fusion plasma tearing instability with deep reinforcement learning. - Jaemin Seo; SangKyeun Kim; Azarakhsh Jalalvand; Rory Conlin; Andrew Rothstein; Joseph Abbate; Keith Erickson; Josiah Wai; Ricardo Shousha; Egemen Kolemen (Nat., 2024)