Kyle Sprague

According to our database, Kyle Sprague authored at least 3 papers between 2021 and 2025.

Collaborative distances:

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

2025

When to retrain a machine learning model.

Florence Regol, Leo Schwinn, Kyle Sprague, Mark Coates, Thomas Markovich

CoRR, May, 2025

2023

ChemGymRL: An Interactive Framework for Reinforcement Learning for Digital Chemistry.

Chris Beeler, Sriram Ganapathi Subramanian, Kyle Sprague, Nouha Chatti, Colin Bellinger, Mitchell Shahen, Nicholas Paquin, Mark Baula, Amanuel Dawit, Zihan Yang, Xinkai Li, Mark Crowley, Isaac Tamblyn

CoRR, 2023

2021

Watch and learn - a generalized approach for transferrable learning in deep neural networks via physical principles.

Kyle Sprague, Juan Carrasquilla, Stephen Whitelam, Isaac Tamblyn

Mach. Learn. Sci. Technol., 2021