Ryan Kindle

Publication Activity (10 Years)

Years Active: 2019-2022
Publications (10 Years): 5

Top Topics

Regularization Method

Reinforcement Learning

Top Venues

npj Digit. Medicine

Publications

Kristine Zhang, Henry Wang, Jianzhun Du, Brian Chu, Aldo Arévalo, Ryan Kindle, Leo Anthony Celi, Finale Doshi-Velez
An interpretable RL framework for pre-deployment modeling in ICU hypotension management. npj Digit. Medicine 5 (2022)
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
Development and validation of a reinforcement learning algorithm to dynamically optimize mechanical ventilation in critical care. npj Digit. Medicine 4 (2021)
Kristine Zhang, Yuanheng Wang, Jianzhun Du, Brian Chu, Leo Anthony Celi, Ryan Kindle, Finale Doshi-Velez
Identifying Decision Points for Safe and Interpretable Reinforcement Learning in Hypotension Treatment. CoRR (2021)
Mike Wu, Sonali Parbhoo, Michael C. Hughes, Ryan Kindle, Leo A. Celi, Maurizio Zazzi, Volker Roth, Finale Doshi-Velez
Regional Tree Regularization for Interpretability in Deep Neural Networks. AAAI (2020)
Mike Wu, Sonali Parbhoo, Michael C. Hughes, Ryan Kindle, Leo A. Celi, Maurizio Zazzi, Volker Roth, Finale Doshi-Velez
Regional Tree Regularization for Interpretability in Black Box Models. CoRR (2019)