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ORCIDTaylor W. Killian
Person information
- affiliation: Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE
- affiliation (PhD 2024): University of Toronto, ON, Canada
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2020 – today
- 2025
[i18]Marco F. Cusumano-Towner, David Hafner, Alexander Hertzberg, Brody Huval, Aleksei Petrenko, Eugene Vinitsky
, Erik Wijmans, Taylor W. Killian, Stuart Bowers, Ozan Sener, Philipp Krähenbühl, Vladlen Koltun:
Robust Autonomy Emerges from Self-Play. CoRR abs/2502.03349 (2025)- [i17]Matthew Landers, Taylor W. Killian, Thomas Hartvigsen, Afsaneh Doryab:
SAINT: Attention-Based Modeling of Sub-Action Dependencies in Multi-Action Policies. CoRR abs/2505.12109 (2025) - [i16]Zhoujun Cheng, Shibo Hao, Tianyang Liu, Fan Zhou, Yutao Xie, Feng Yao, Yuexin Bian, Yonghao Zhuang, Nilabjo Dey, Yuheng Zha, Yi Gu, Kun Zhou, Yuqi Wang, Yuan Li, Richard Fan, Jianshu She, Chengqian Gao, Abulhair Saparov, Haonan Li, Taylor W. Killian, Mikhail Yurochkin, Zhengzhong Liu, Eric P. Xing, Zhiting Hu:
Revisiting Reinforcement Learning for LLM Reasoning from A Cross-Domain Perspective. CoRR abs/2506.14965 (2025) - [i15]Zhoujun Cheng, Richard Fan, Shibo Hao, Taylor W. Killian, Haonan Li, Suqi Sun, Hector Ren, Alexander Moreno, Daqian Zhang, Tianjun Zhong, Yuxin Xiong, Yuanzhe Hu, Yutao Xie, Xudong Han, Yuqi Wang, Varad Pimpalkhute, Yonghao Zhuang, Aaryamonvikram Singh, Xuezhi Liang, Anze Xie, Jianshu She, Desai Fan, Chengqian Gao, Liqun Ma, Mikhail Yurochkin, John Maggs, Xuezhe Ma, Guowei He, Zhiting Hu, Zhengzhong Liu, Eric P. Xing:
K2-Think: A Parameter-Efficient Reasoning System. CoRR abs/2509.07604 (2025) - [i14]Chengqian Gao, Haonan Li, Taylor W. Killian, Jianshu She, Renxi Wang, Liqun Ma, Zhoujun Cheng, Shibo Hao, Zhiqiang Xu:
Concise Reasoning in the Lens of Lagrangian Optimization. CoRR abs/2510.10168 (2025) - 2024
- [b1]Taylor W. Killian:
Clinically Motivated Sequential Decision Making Under Uncertainty in Offline Settings. University of Toronto, Canada, 2024 - [i13]Matthew Landers, Taylor W. Killian, Hugo Barnes, Thomas Hartvigsen, Afsaneh Doryab:
Offline Reinforcement Learning With Combinatorial Action Spaces. CoRR abs/2410.21151 (2024) - [i12]Hyewon Jeong, Siddharth Nayak, Taylor W. Killian, Sanjat Kanjilal:
Identifying Differential Patient Care Through Inverse Intent Inference. CoRR abs/2411.07372 (2024) - 2023
- [j1]Taylor W. Killian, Sonali Parbhoo, Marzyeh Ghassemi:
Risk Sensitive Dead-end Identification in Safety-Critical Offline Reinforcement Learning. Trans. Mach. Learn. Res. 2023 (2023) - [i11]Taylor W. Killian, Sonali Parbhoo, Marzyeh Ghassemi:
Risk Sensitive Dead-end Identification in Safety-Critical Offline Reinforcement Learning. CoRR abs/2301.05664 (2023) - [i10]Taylor W. Killian, Haoran Zhang, Thomas Hartvigsen, Ava P. Amini:
Continuous Time Evidential Distributions for Irregular Time Series. CoRR abs/2307.13503 (2023) - 2022
- [c9]Taylor W. Killian, Marzyeh Ghassemi, Shalmali Joshi:
Counterfactually Guided Policy Transfer in Clinical Settings. CHIL 2022: 5-31 - [c8]Antonio Parziale, Monica Agrawal, Shengpu Tang, Kristen Severson, Luis Oala, Adarsh Subbaswamy, Sayantan Kumar, Elora D. M. Schörverth, Stefan Hegselmann, Helen Zhou, Ghada Zamzmi, Purity Mugambi, Elena Sizikova, Girmaw Abebe Tadesse, Yuyin Zhou, Taylor W. Killian, Haoran Zhang, Fahad Kamran, Andrea Hobby, Mars Huang, Ahmed M. Alaa, Harvineet Singh, Irene Y. Chen, Shalmali Joshi:
Machine Learning for Health (ML4H) 2022. ML4H@NeurIPS 2022: 1-11 - 2021
- [c7]Mehdi Fatemi, Taylor W. Killian, Jayakumar Subramanian, Marzyeh Ghassemi:
Medical Dead-ends and Learning to Identify High-Risk States and Treatments. NeurIPS 2021: 4856-4870 - [i9]Mehdi Fatemi, Taylor W. Killian, Jayakumar Subramanian, Marzyeh Ghassemi:
Medical Dead-ends and Learning to Identify High-risk States and Treatments. CoRR abs/2110.04186 (2021) - 2020
- [c6]Alister D. Costa, Stefan Denkovski, Michal Malyska, Sae Young Moon, Brandon Rufino, Zhen Yang, Taylor W. Killian, Marzyeh Ghassemi:
Multiple Sclerosis Severity Classification From Clinical Text. ClinicalNLP@EMNLP 2020: 7-23 - [c5]Andrew Silva, Matthew C. Gombolay, Taylor W. Killian, Ivan Dario Jimenez Jimenez, Sung-Hyun Son:
Optimization Methods for Interpretable Differentiable Decision Trees Applied to Reinforcement Learning. AISTATS 2020: 1855-1865 - [c4]Taylor W. Killian, Haoran Zhang, Jayakumar Subramanian, Mehdi Fatemi, Marzyeh Ghassemi:
An Empirical Study of Representation Learning for Reinforcement Learning in Healthcare. ML4H@NeurIPS 2020: 139-160 - [i8]Taylor W. Killian, Marzyeh Ghassemi, Shalmali Joshi:
Counterfactually Guided Policy Transfer in Clinical Settings. CoRR abs/2006.11654 (2020) - [i7]Alister D. Costa, Stefan Denkovski, Michal Malyska, Sae Young Moon, Brandon Rufino, Zhen Yang, Taylor W. Killian, Marzyeh Ghassemi:
Multiple Sclerosis Severity Classification From Clinical Text. CoRR abs/2010.15316 (2020) - [i6]Taylor W. Killian, Haoran Zhang, Jayakumar Subramanian, Mehdi Fatemi, Marzyeh Ghassemi:
An Empirical Study of Representation Learning for Reinforcement Learning in Healthcare. CoRR abs/2011.11235 (2020)
2010 – 2019
- 2019
- [i5]Ivan Dario Jimenez Rodriguez, Taylor W. Killian, Sung-Hyun Son, Matthew C. Gombolay:
Interpretable Reinforcement Learning via Differentiable Decision Trees. CoRR abs/1903.09338 (2019) - [i4]Taylor W. Killian, Justin A. Goodwin, Olivia M. Brown, Sung-Hyun Son:
Kernelized Capsule Networks. CoRR abs/1906.03164 (2019) - 2018
- [i3]Justin A. Goodwin, Olivia M. Brown, Taylor W. Killian, Sung-Hyun Son:
Learning Robust Representations for Automatic Target Recognition. CoRR abs/1811.10714 (2018) - 2017
- [c3]Taylor W. Killian, George Dimitri Konidaris, Finale Doshi-Velez:
Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes. AAAI 2017: 4949-4950 - [c2]Taylor W. Killian, Samuel Daulton, Finale Doshi-Velez, George Dimitri Konidaris:
Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes. NIPS 2017: 6250-6261 - [i2]Taylor W. Killian, Samuel Daulton, George Dimitri Konidaris, Finale Doshi-Velez:
Robust and Efficient Transfer Learning with Hidden-Parameter Markov Decision Processes. CoRR abs/1706.06544 (2017) - 2016
- [i1]Taylor W. Killian, George Dimitri Konidaris, Finale Doshi-Velez:
Transfer Learning Across Patient Variations with Hidden Parameter Markov Decision Processes. CoRR abs/1612.00475 (2016) - 2013
- [c1]Muslim Mustapa, Mohammed Y. Niamat, Mansoor Alam, Taylor W. Killian:
Frequency uniqueness in ring oscillator Physical Unclonable Functions on FPGAs. MWSCAS 2013: 465-468
Coauthor Index
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