Taylor W. Killian
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Optimization methods for interpretable differentiable decision trees applied to reinforcement learning
A Silva, M Gombolay, T Killian, I Jimenez, SH Son
International conference on artificial intelligence and statistics, 1855-1865, 2020
Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes
TW Killian, S Daulton, F Doshi-Velez, G Konidaris
Advances in Neural Information Processing Systems, 6251-6262, 2017
Medical dead-ends and learning to identify high-risk states and treatments
M Fatemi, TW Killian, J Subramanian, M Ghassemi
Advances in Neural Information Processing Systems 34, 4856-4870, 2021
An empirical study of representation learning for reinforcement learning in healthcare
TW Killian, H Zhang, J Subramanian, M Fatemi, M Ghassemi
Proceedings of the Machine Learning for Health NeurIPS Workshop 136, 139-160, 2020
Direct Policy Transfer with Hidden Parameter Markov Decision Processes
J Yao, TW Killian, G Konidaris, F Doshi-Velez
Lifelong Learning: A Reinforcement Learning Approach Workshop at FAIM 2018, 2018
Counterfactually guided policy transfer in clinical settings
TW Killian, M Ghassemi, S Joshi
Conference on Health, Inference, and Learning, 5-31, 2022
Multiple sclerosis severity classification from clinical text
AD Costa, S Denkovski, M Malyska, SY Moon, B Rufino, Z Yang, T Killian, ...
arXiv preprint arXiv:2010.15316, 2020
Transfer Learning Across Patient Variations with Hidden Parameter Markov Decision Processes
T Killian, G Konidaris, F Doshi-Velez
arXiv preprint arXiv:1612.00475, 2016
Rebound and jet formation of a fluid-filled sphere
TW Killian, RA Klaus, TT Truscott
Physics of Fluids 24 (12), 2012
Risk Sensitive Dead-end Identification in Safety-Critical Offline Reinforcement Learning
TW Killian, S Parbhoo, M Ghassemi
Transactions on Machine Learning Research, 2023
Kernelized capsule networks
T Killian, J Goodwin, O Brown, SH Son
arXiv preprint arXiv:1906.03164, 2019
White-box adversarial policies in deep reinforcement learning
S Casper, T Killian, G Kreiman, D Hadfield-Menell
arXiv preprint arXiv:2209.02167, 2022
Machine learning for health (ml4h) 2022
A Parziale, M Agrawal, S Tang, K Severson, L Oala, A Subbaswamy, ...
Machine Learning for Health, 1-11, 2022
Red Teaming with Mind Reading: White-Box Adversarial Policies Against RL Agents
S Casper, T Killian, G Kreiman, D Hadfield-Menell
arXiv preprint arXiv:2209.02167, 2022
Self healing: solid spheres impacting soap bubbles
T Killian, J Bryson, J Huey, JC Bird, JC Nave, T Truscott
APS Division of Fluid Dynamics Meeting Abstracts, R4. 005, 2012
Continuous Time Evidential Distributions for Irregular Time Series
TW Killian, H Zhang, T Hartvigsen, AP Amini
arXiv preprint arXiv:2307.13503, 2023
Systems and methods for detection of concealed threats
MA Deangelus, J Goodwin, N Kaushik, A Opipari, T Killian
US Patent App. 17/219,837, 2022
Limits of Algorithmic Stability for Distributional Generalization
N Hulkund, VM Suriyakumar, TW Killian, M Ghassemi
Learning Robust Representations for Automatic Target Recognition
JA Goodwin, OM Brown, TW Killian, SH Son
arXiv preprint arXiv:1811.10714, 2018
Harnessing sloshing as a passive dampener
T Killian, R Klaus, T Truscott
Bulletin of the American Physical Society 56, 2011
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