Taylor W. Killian

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Dr. Marzyeh GhassemiAssistant Professor, EECS.CSAIL/IMES, MITVerified email at mit.edu
Matthew GombolayAssistant Professor, Georgia Institute of TechnologyVerified email at cc.gatech.edu
Finale Doshi-VelezProfessor, HarvardVerified email at seas.harvard.edu
George KonidarisBrownVerified email at cs.brown.edu
Andrew SilvaPhD Student, Georgia TechVerified email at gatech.edu
Mehdi FatemiMicrosoft ResearchVerified email at microsoft.com
Samuel (Sam) DaultonResearch Scientist - MetaVerified email at meta.com
Haoran ZhangPhD Student, Massachusetts Institute of TechnologyVerified email at mit.edu
Tadd TruscottAssociate Professor, KAUST (King Abdullah University of Science and Technology)Verified email at kaust.edu.sa
Jiayu YaoGladstone InstitutesVerified email at gladstone.ucsf.edu
Justin GoodwinMIT Lincoln LaboratoryVerified email at ll.mit.edu
Shalmali JoshiColumbia UniversityVerified email at cumc.columbia.edu
Sonali ParbhooAssistant Professor, Imperial College LondonVerified email at imperial.ac.uk
Dylan Hadfield-MenellMassachusetts Institute of TechnologyVerified email at csail.mit.edu
Stephen CasperPhD student, MITVerified email at mit.edu
Vinith M. SuriyakumarMassachusetts Institute of TechnologyVerified email at mit.edu
Tom HartvigsenAssistant Professor, University of VirginiaVerified email at virginia.edu
Ava P. AminiMicrosoft ResearchVerified email at microsoft.com
Neha HulkundMassachusetts Institute of TechnologyVerified email at mit.edu

Taylor W. Killian

Graduate Researcher, University of Toronto

Verified email at cs.toronto.edu - Homepage

Machine Learning Reinforcement Learning Healthcare Transfer Learning Causal Inference


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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	116	2017
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	105*	2020
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	33	2021
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	32*	2018
An empirical study of representation learning for reinforcement learning in healthcare TW Killian, H Zhang, J Subramanian, M Fatemi, M Ghassemi arXiv preprint arXiv:2011.11235, 2020	28	2020
Counterfactually guided policy transfer in clinical settings TW Killian, M Ghassemi, S Joshi Conference on Health, Inference, and Learning, 5-31, 2022	11	2022
Transfer Learning Across Patient Variations with Hidden Parameter Markov Decision Processes T Killian, G Konidaris, F Doshi-Velez arXiv preprint arXiv:1612.00475, 2016	11	2016
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	10	2020
Rebound and jet formation of a fluid-filled sphere TW Killian, RA Klaus, TT Truscott Physics of Fluids 24 (12), 2012	8	2012
Kernelized capsule networks T Killian, J Goodwin, O Brown, SH Son arXiv preprint arXiv:1906.03164, 2019	4	2019
Risk Sensitive Dead-end Identification in Safety-Critical Offline Reinforcement Learning TW Killian, S Parbhoo, M Ghassemi Transactions on Machine Learning Research, 2023	2	2023
White-box adversarial policies in deep reinforcement learning S Casper, T Killian, G Kreiman, D Hadfield-Menell arXiv preprint arXiv:2209.02167, 2022	2	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	1*	2012
Continuous Time Evidential Distributions for Irregular Time Series TW Killian, H Zhang, T Hartvigsen, AP Amini arXiv preprint arXiv:2307.13503, 2023		2023
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		2022
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		2022
Limits of Algorithmic Stability for Distributional Generalization N Hulkund, VM Suriyakumar, TW Killian, M Ghassemi		2022
Learning Robust Representations for Automatic Target Recognition JA Goodwin, OM Brown, TW Killian, SH Son arXiv preprint arXiv:1811.10714, 2018		2018
Harnessing sloshing as a passive dampener T Killian, R Klaus, T Truscott Bulletin of the American Physical Society 56, 2011		2011

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