Ryan Kindle

According to our database, Ryan Kindle authored at least 5 papers between 2019 and 2022.

Collaborative distances:

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

2022

An interpretable RL framework for pre-deployment modeling in ICU hypotension management.

Kristine Zhang, Henry Wang, Jianzhun Du, Brian Chu, Aldo Arévalo, Ryan Kindle, Leo Anthony Celi, Finale Doshi-Velez

npj Digit. Medicine, 2022

2021

Development and validation of a reinforcement learning algorithm to dynamically optimize mechanical ventilation in critical care.

Arne Peine, Ahmed Hallawa, Johannes Bickenbach, Guido Dartmann, Lejla Begic Fazlic, Anke Schmeink, Gerd Ascheid, Christoph Thiemermann, Andreas Schuppert, Ryan Kindle, Leo A. Celi, Gernot Marx, Lukas Martin

npj Digit. Medicine, 2021

Identifying Decision Points for Safe and Interpretable Reinforcement Learning in Hypotension Treatment.

Kristine Zhang, Yuanheng Wang, Jianzhun Du, Brian Chu, Leo Anthony Celi, Ryan Kindle, Finale Doshi-Velez

CoRR, 2021

2020

Regional Tree Regularization for Interpretability in Deep Neural Networks.

Mike Wu, Sonali Parbhoo, Michael C. Hughes, Ryan Kindle, Leo A. Celi, Maurizio Zazzi, Volker Roth, Finale Doshi-Velez

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Regional Tree Regularization for Interpretability in Black Box Models.

Mike Wu, Sonali Parbhoo, Michael C. Hughes, Ryan Kindle, Leo A. Celi, Maurizio Zazzi, Volker Roth, Finale Doshi-Velez

CoRR, 2019