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 | 160 | 2018 |
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 | 52 | 2019 |
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 | 48* | 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 | 27 | 2022 |
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 | 23 | 2019 |
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 | 14 | 2018 |
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 | 14 | 2016 |
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 | 12 | 2022 |
Toward a scalable upper bound for a CVaR-LQ problem MP Chapman, L Lessard IEEE Control Systems Letters 6, 920-925, 2021 | 12 | 2021 |
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 | 10 | 2018 |
Classical risk-averse control for a finite-horizon borel model MP Chapman, KM Smith IEEE Control Systems Letters 6, 1525-1530, 2021 | 8 | 2021 |
On Exponential Utility and Conditional Value-at-Risk as risk-averse performance criteria KM Smith, MP Chapman IEEE Transactions on Control Systems Technology, 2023 | 7 | 2023 |
CVaR-based safety analysis in the infinite time horizon setting C Wei, M Fauß, MP Chapman 2022 American Control Conference (ACC), 2863-2870, 2022 | 6 | 2022 |
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 | 6 | 2017 |
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 | 5 | 2014 |
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 | 5 | |
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 | 4 | 2022 |
Risk-aware stability of discrete-time systems MP Chapman, DS Kalogerias arXiv preprint arXiv:2211.12416, 2022 | 2 | 2022 |
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 | 2 | 2021 |
Risk-Sensitive Safety Analysis and Control for Trustworthy Autonomy M Chapman, C Tomlin, M Arcak, A Aswani | 2 | 2020 |