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Margaret P. Chapman
Margaret P. Chapman
Assistant Professor, University of Toronto
Verified email at ece.utoronto.ca - Homepage
Title
Cited by
Cited by
Year
Differentiation-state plasticity is a targetable resistance mechanism in basal-like breast cancer
T Risom, EM Langer, MP Chapman, J Rantala, AJ Fields, C Boniface, ...
Nature communications 9 (1), 1-17, 2018
1562018
A Risk-Sensitive Finite-Time Reachability Approach for Safety of Stochastic Dynamic Systems
MP Chapman, J Lacotte, A Tamar, D Lee, KM Smith, V Cheng, JF Fisac, ...
2019 American Control Conference (ACC), 2958-2963, 2019
492019
Risk-sensitive safety analysis using Conditional Value-at-Risk
MP Chapman, R Bonalli, KM Smith, I Yang, M Pavone, CJ Tomlin
IEEE Transactions on Automatic Control 67 (12), 6521-6536, 2021
45*2021
Risk-averse autonomous systems: A brief history and recent developments from the perspective of optimal control
Y Wang, MP Chapman
Artificial Intelligence 311, 103743, 2022
242022
Modeling differentiation-state transitions linked to therapeutic escape in triple-negative breast cancer
MP Chapman, T Risom, AJ Aswani, EM Langer, RC Sears, CJ Tomlin
PLoS computational biology 15 (3), e1006840, 2019
232019
Reachability analysis as a design tool for stormwater systems
MP Chapman, KM Smith, V Cheng, DL Freyberg, CJ Tomlin
2018 IEEE Conference on Technologies for Sustainability (SusTech), 1-8, 2018
142018
A model of phenotypic state dynamics initiates a promising approach to control heterogeneous malignant cell populations
MP Chapman, TT Risom, A Aswani, R Dobbe, RC Sears, CJ Tomlin
2016 IEEE 55th Conference on Decision and Control (CDC), 2481-2487, 2016
132016
Toward a scalable upper bound for a CVaR-LQ problem
MP Chapman, L Lessard
IEEE Control Systems Letters 6, 920-925, 2021
122021
On optimizing the conditional value-at-risk of a maximum cost for risk-averse safety analysis
MP Chapman, M Fauß, KM Smith
IEEE Transactions on Automatic Control, 2022
112022
On the analysis of cyclic drug schedules for cancer treatment using switched dynamical systems
MP Chapman, EV Mazumdar, E Langer, R Sears, CJ Tomlin
2018 IEEE Conference on Decision and Control (CDC), 3503-3509, 2018
102018
Classical risk-averse control for a finite-horizon borel model
MP Chapman, KM Smith
IEEE Control Systems Letters 6, 1525-1530, 2021
82021
CVaR-based safety analysis in the infinite time horizon setting
C Wei, M Fauß, MP Chapman
2022 American Control Conference (ACC), 2863-2870, 2022
62022
A model predictive control approach to flow pacing for TCP
D Fridovich-Keil, N Hanford, MP Chapman, CJ Tomlin, MK Farrens, ...
2017 55th Annual Allerton Conference on Communication, Control, and …, 2017
62017
On Exponential Utility and Conditional Value-at-Risk as risk-averse performance criteria
KM Smith, MP Chapman
IEEE Transactions on Control Systems Technology, 2023
52023
Position and velocity cursor mappings contribute to distinct muscle forces in simulated isometric and movement reaching
MP Chapman, MF Rotella, AM Okamura
5th IEEE RAS/EMBS International Conference on Biomedical Robotics and …, 2014
52014
Differentiation-state plasticity is a targetable resistance mechanism in basallike breast cancer. Nat Commun. 2018; 9 (1): 3815
T Risom, EM Langer, MP Chapman, J Rantala, AJ Fields, C Boniface
Epub 2018/09/21. doi: 10.1038/s41467r018r 05729rw. pubMed pMID: 30232459, 0
4
Toward scalable risk analysis for stochastic systems using extreme value theory
E Arsenault, Y Wang, MP Chapman
IEEE Control Systems Letters 6, 3391-3396, 2022
32022
Risk-aware stability of discrete-time systems
MP Chapman, DS Kalogerias
arXiv preprint arXiv:2211.12416, 2022
22022
Risk-sensitive safety analysis via state-space augmentation
MP Chapman, M Fauss, HV Poor, KM Smith
under review for IEEE Transactions on Automatic Control, 2021
22021
Risk-Sensitive Safety Analysis and Control for Trustworthy Autonomy
M Chapman, C Tomlin, M Arcak, A Aswani
22020
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