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ORCIDTomoya Yamaguchi 0001
Person information
- affiliation: Toyota Research Institute of North America, Ann Arbor, MI, USA
Other persons with the same name
- Tomoya Yamaguchi — disambiguation page
- Tomoya Yamaguchi 0002 — Waseda University, Graduate School of Advanced Science and Engineering, Japan
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2020 – today
- 2024
[j2]Tomoya Yamaguchi, Bardh Hoxha, Dejan Nickovic:
RTAMT - Runtime Robustness Monitors with Application to CPS and Robotics. Int. J. Softw. Tools Technol. Transf. 26(1): 79-99 (2024)- 2023
- [c19]Kandai Watanabe, Georgios Fainekos, Bardh Hoxha, Morteza Lahijanian, Danil V. Prokhorov, Sriram Sankaranarayanan, Tomoya Yamaguchi:
Timed Partial Order Inference Algorithm. ICAPS 2023: 639-647 - [c18]Navid Hashemi, Xin Qin, Jyotirmoy V. Deshmukh, Georgios Fainekos, Bardh Hoxha, Danil V. Prokhorov, Tomoya Yamaguchi:
Risk-Awareness in Learning Neural Controllers for Temporal Logic Objectives. ACC 2023: 4096-4103 - [c17]Ippei Nishitani, Tomoya Yamaguchi, Bardh Hoxha:
Checkmate: Fault Timing Localization for Multi-Robot Scenarios. CASE 2023: 1-8 - [c16]Hoang-Dung Tran
, Sung Woo Choi, Xiaodong Yang, Tomoya Yamaguchi, Bardh Hoxha, Danil V. Prokhorov:
Verification of Recurrent Neural Networks with Star Reachability. HSCC 2023: 6:1-6:13 - [c15]Navid Hashemi, Bardh Hoxha, Tomoya Yamaguchi, Danil V. Prokhorov, Georgios Fainekos, Jyotirmoy Deshmukh:
A Neurosymbolic Approach to the Verification of Temporal Logic Properties of Learning-enabled Control Systems. ICCPS 2023: 98-109 - [i9]Kandai Watanabe, Bardh Hoxha, Danil V. Prokhorov, Georgios Fainekos, Morteza Lahijanian, Sriram Sankaranarayanan, Tomoya Yamaguchi:
Timed Partial Order Inference Algorithm. CoRR abs/2302.02501 (2023) - [i8]Navid Hashemi, Bardh Hoxha, Tomoya Yamaguchi, Danil V. Prokhorov, Georgios Fainekos, Jyotirmoy Deshmukh:
A Neurosymbolic Approach to the Verification of Temporal Logic Properties of Learning enabled Control Systems. CoRR abs/2303.05394 (2023) - 2022
- [c14]Xiaodong Yang, Tom Yamaguchi, Hoang-Dung Tran, Bardh Hoxha, Taylor T. Johnson, Danil V. Prokhorov:
Neural Network Repair with Reachability Analysis. FORMATS 2022: 221-236 - [c13]Sergiy Bogomolov, Abdelrahman Hekal, Bardh Hoxha, Tomoya Yamaguchi:
Runtime Assurance for Autonomous Driving with Neural Reachability. ITSC 2022: 2634-2641 - [i7]Navid Hashemi, Xin Qin, Jyotirmoy V. Deshmukh, Georgios Fainekos, Bardh Hoxha, Danil V. Prokhorov, Tomoya Yamaguchi:
Risk-Awareness in Learning Neural Controllers for Temporal Logic Objectives. CoRR abs/2210.07439 (2022) - 2021
- [j1]Shakiba Yaghoubi, Keyvan Majd, Georgios Fainekos, Tomoya Yamaguchi, Danil V. Prokhorov, Bardh Hoxha:
Risk-Bounded Control Using Stochastic Barrier Functions. IEEE Control. Syst. Lett. 5(5): 1831-1836 (2021) - [c12]Shakiba Yaghoubi, Keyvan Majd, Georgios Fainekos, Tomoya Yamaguchi, Danil V. Prokhorov, Bardh Hoxha:
Risk-bounded Control using Stochastic Barrier Functions. ACC 2021: 1131-1136 - [c11]Shakiba Yaghoubi, Georgios Fainekos, Tomoya Yamaguchi, Danil V. Prokhorov, Bardh Hoxha:
Risk-Bounded Control with Kalman Filtering and Stochastic Barrier Functions. CDC 2021: 5213-5219 - [c10]Xiaodong Yang, Taylor T. Johnson, Hoang-Dung Tran, Tomoya Yamaguchi, Bardh Hoxha, Danil V. Prokhorov:
Reachability analysis of deep ReLU neural networks using facet-vertex incidence. HSCC 2021: 18:1-18:7 - [c9]Keyvan Majd, Shakiba Yaghoubi, Tomoya Yamaguchi, Bardh Hoxha, Danil V. Prokhorov, Georgios Fainekos:
Safe Navigation in Human Occupied Environments Using Sampling and Control Barrier Functions. IROS 2021: 5794-5800 - [c8]Anand Balakrishnan, Jyotirmoy Deshmukh, Bardh Hoxha, Tomoya Yamaguchi, Georgios Fainekos:
PerceMon: Online Monitoring for Perception Systems. RV 2021: 297-308 - [i6]Keyvan Majd, Shakiba Yaghoubi, Tomoya Yamaguchi, Bardh Hoxha, Danil V. Prokhorov, Georgios Fainekos:
Safe Navigation in Human Occupied Environments Using Sampling and Control Barrier Functions. CoRR abs/2105.01204 (2021) - [i5]Xiaodong Yang, Tomoya Yamaguchi, Hoang-Dung Tran, Bardh Hoxha, Taylor T. Johnson, Danil V. Prokhorov:
Reachability Analysis of Convolutional Neural Networks. CoRR abs/2106.12074 (2021) - [i4]Xiaodong Yang, Tom Yamaguchi, Hoang-Dung Tran, Bardh Hoxha, Taylor T. Johnson, Danil V. Prokhorov:
Neural Network Repair with Reachability Analysis. CoRR abs/2108.04214 (2021) - [i3]Anand Balakrishnan, Jyotirmoy Deshmukh, Bardh Hoxha, Tomoya Yamaguchi, Georgios Fainekos:
PerceMon: Online Monitoring for Perception Systems. CoRR abs/2108.08289 (2021) - [i2]Shakiba Yaghoubi, Georgios Fainekos, Tomoya Yamaguchi, Danil V. Prokhorov, Bardh Hoxha:
Risk-Bounded Control with Kalman Filtering and Stochastic Barrier Functions. CoRR abs/2112.14912 (2021) - 2020
- [c7]Dejan Nickovic, Tomoya Yamaguchi:
RTAMT: Online Robustness Monitors from STL. ATVA 2020: 564-571 - [c6]Yuji Date, Takeshi Baba, Bardh Hoxha, Tomoya Yamaguchi, Danil V. Prokhorov:
Application of Simulation-Based Methods on Autonomous Vehicle Control with Deep Neural Network: Work-in-Progress. EMSOFT 2020: 1-3 - [c5]Tomoya Yamaguchi, Bardh Hoxha, Danil V. Prokhorov, Jyotirmoy V. Deshmukh:
Specification-guided Software Fault Localization for Autonomous Mobile Systems. MEMOCODE 2020: 1-12 - [c4]Benoît Barbot, Nicolas Basset, Thao Dang, Alexandre Donzé, James Kapinski, Tomoya Yamaguchi:
Falsification of Cyber-Physical Systems with Constrained Signal Spaces. NFM 2020: 420-439 - [i1]Dejan Nickovic, Tomoya Yamaguchi:
RTAMT: Online Robustness Monitors from STL. CoRR abs/2005.11827 (2020)
2010 – 2019
- 2019
- [c3]Jyotirmoy V. Deshmukh, James Kapinski, Tomoya Yamaguchi, Danil V. Prokhorov:
Learning Deep Neural Network Controllers for Dynamical Systems with Safety Guarantees: Invited Paper. ICCAD 2019: 1-7 - [c2]Tomoya Yamaguchi, Martin Brain, Chirs Ryder, Yosikazu Imai, Yoshiumi Kawamura:
Application of Abstract Interpretation to the Automotive Electronic Control System. VMCAI 2019: 425-445 - 2016
- [c1]Tomoya Yamaguchi, Tomoyuki Kaga, Alexandre Donzé, Sanjit A. Seshia:
Combining requirement mining, software model checking and simulation-based verification for industrial automotive systems. FMCAD 2016: 201-204
Coauthor Index
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