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Danil V. Prokhorov
- > Home > Persons > Danil V. Prokhorov
Publications
- 2024
- [i20]Navid Hashemi, Bardh Hoxha, Danil V. Prokhorov, Georgios Fainekos, Jyotirmoy Deshmukh:
Scaling Learning based Policy Optimization for Temporal Tasks via Dropout. CoRR abs/2403.15826 (2024) - 2023
- [c73]Kandai Watanabe, Georgios Fainekos, Bardh Hoxha, Morteza Lahijanian, Danil V. Prokhorov, Sriram Sankaranarayanan, Tomoya Yamaguchi:
Timed Partial Order Inference Algorithm. ICAPS 2023: 639-647 - [c72]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 - [c71]Hoang-Dung Tran, Sungwoo Choi, Hideki Okamoto, Bardh Hoxha, Georgios Fainekos, Danil V. Prokhorov:
Quantitative Verification for Neural Networks using ProbStars. HSCC 2023: 4:1-4:12 - [c70]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 - [c69]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 - [c68]Mitchell Black, Georgios Fainekos, Bardh Hoxha, Danil V. Prokhorov, Dimitra Panagou:
Safety Under Uncertainty: Tight Bounds with Risk-Aware Control Barrier Functions. ICRA 2023: 12686-12692 - [c66]Jacob Anderson, Georgios Fainekos, Bardh Hoxha, Hideki Okamoto, Danil V. Prokhorov:
Pattern Matching for Perception Streams. RV 2023: 251-270 - [i19]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) - [i18]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) - [i17]Mitchell Black, Georgios Fainekos, Bardh Hoxha, Danil V. Prokhorov, Dimitra Panagou:
Safety Under Uncertainty: Tight Bounds with Risk-Aware Control Barrier Functions. CoRR abs/2304.01040 (2023) - [i15]Hardik Parwana, Mitchell Black, Bardh Hoxha, Hideki Okamoto, Georgios Fainekos, Danil V. Prokhorov, Dimitra Panagou:
Feasible Space Monitoring for Multiple Control Barrier Functions with application to Large Scale Indoor Navigation. CoRR abs/2312.07803 (2023) - 2022
- [c65]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 - [i14]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
- [j50]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) - [c64]Shakiba Yaghoubi, Keyvan Majd, Georgios Fainekos, Tomoya Yamaguchi, Danil V. Prokhorov, Bardh Hoxha:
Risk-bounded Control using Stochastic Barrier Functions. ACC 2021: 1131-1136 - [c63]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 - [c62]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 - [c61]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 - [i12]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) - [i11]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) - [i10]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) - [i9]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
- [c60]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 - [c59]Tomoya Yamaguchi, Bardh Hoxha, Danil V. Prokhorov, Jyotirmoy V. Deshmukh:
Specification-guided Software Fault Localization for Autonomous Mobile Systems. MEMOCODE 2020: 1-12
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last updated on 2024-04-21 17:27 CEST by the dblp team
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