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Mahsa Ghasemi
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2020 – today
- 2024
- [j5]Mahsa Ghasemi, Hamid Hassanpour
:
FRIH: A face recognition framework using image hashing. Multim. Tools Appl. 83(21): 60147-60169 (2024) - [j4]Niklas T. Lauffer
No-Regret Learning in Dynamic Stackelberg Games. IEEE Trans. Autom. Control. 69(3): 1418-1431 (2024) - [c20]Maheed H. Ahmed, Mahsa Ghasemi:
Privacy-Preserving Decentralized Actor-Critic for Cooperative Multi-Agent Reinforcement Learning. AISTATS 2024: 2755-2763 - [c19]Muhammad Qasim Elahi, Lai Wei, Murat Kocaoglu, Mahsa Ghasemi:
Adaptive Online Experimental Design for Causal Discovery. ICML 2024 - [c18]Jayanth Bhargav, Mahsa Ghasemi, Shreyas Sundaram:
Submodular information selection for hypothesis testing with misclassification penalties. L4DC 2024: 566-577 - [i13]Jayanth Bhargav, Mahsa Ghasemi, Shreyas Sundaram:
Submodular Information Selection for Hypothesis Testing with Misclassification Penalties. CoRR abs/2405.10930 (2024) - [i12]Muhammad Qasim Elahi, Lai Wei, Murat Kocaoglu, Mahsa Ghasemi:
Adaptive Online Experimental Design for Causal Discovery. CoRR abs/2405.11548 (2024) - [i11]Jayanth Bhargav, Mahsa Ghasemi, Shreyas Sundaram:
Optimal Sensor and Actuator Selection for Factored Markov Decision Processes: Complexity, Approximability and Algorithms. CoRR abs/2407.07310 (2024) - 2023
- [j3]Tichakorn Wongpiromsarn, Mahsa Ghasemi, Murat Cubuktepe, Georgios Bakirtzis
Formal Methods for Autonomous Systems. Found. Trends Syst. Control. 10(3-4): 180-407 (2023) - [c17]Somtochukwu Oguchienti, Mahsa Ghasemi:
Inverse Reinforcement Learning with Learning and Leveraging Demonstrators' Varying Expertise Levels. Allerton 2023: 1-8 - [c16]Jayanth Bhargav, Mahsa Ghasemi, Shreyas Sundaram:
On the Complexity and Approximability of Optimal Sensor Selection for Mixed-Observable Markov Decision Processes. ACC 2023: 3332-3337 - [c15]Lai Wei, Muhammad Qasim Elahi, Mahsa Ghasemi, Murat Kocaoglu:
Approximate Allocation Matching for Structural Causal Bandits with Unobserved Confounders. NeurIPS 2023 - [e1]Sayan Mitra, Nalini Venkatasubramanian, Abhishek Dubey, Lu Feng, Mahsa Ghasemi, Jonathan Sprinkle:
Proceedings of the ACM/IEEE 14th International Conference on Cyber-Physical Systems, ICCPS 2023, (with CPS-IoT Week 2023), San Antonio, TX, USA, May 9-12, 2023. ACM 2023 [contents] - [i10]Tichakorn Wongpiromsarn, Mahsa Ghasemi, Murat Cubuktepe, Georgios Bakirtzis, Steven Carr, Mustafa O. Karabag, Cyrus Neary, Parham Gohari, Ufuk Topcu:
Formal Methods for Autonomous Systems. CoRR abs/2311.01258 (2023) - 2022
- [i9]Niklas T. Lauffer, Mahsa Ghasemi, Abolfazl Hashemi, Yagiz Savas, Ufuk Topcu:
No-Regret Learning in Dynamic Stackelberg Games. CoRR abs/2202.04786 (2022) - 2021
- [j2]Abolfazl Hashemi
Randomized Greedy Sensor Selection: Leveraging Weak Submodularity. IEEE Trans. Autom. Control. 66(1): 199-212 (2021) - [c14]Mahsa Ghasemi, Evan Scope Crafts, Bo Zhao, Ufuk Topcu:
Multiple Plans are Better than One: Diverse Stochastic Planning. ICAPS 2021: 140-148 - [c13]Mahsa Ghasemi, Abolfazl Hashemi, Haris Vikalo
Online Learning with Implicit Exploration in Episodic Markov Decision Processes. ACC 2021: 1953-1958 - [c12]Binghan He
A Barrier Pair Method for Safe Human-Robot Shared Autonomy. CDC 2021: 2854-2861 - [c11]Mahsa Ghasemi, Abolfazl Hashemi, Haris Vikalo, Ufuk Topcu:
No-regret learning with high-probability in adversarial Markov decision processes. UAI 2021: 992-1001 - [i8]Binghan He, Mahsa Ghasemi, Ufuk Topcu, Luis Sentis:
A Barrier Pair Method for Safe Human-Robot Shared Autonomy. CoRR abs/2112.00279 (2021) - 2020
- [j1]Rayna Dimitrova, Mahsa Ghasemi
Reactive synthesis with maximum realizability of linear temporal logic specifications. Acta Informatica 57(1-2): 107-135 (2020) - [c10]Mahsa Ghasemi, Abolfazl Hashemi, Haris Vikalo
Identifying Sparse Low-Dimensional Structures in Markov Chains: A Nonnegative Matrix Factorization Approach. ACC 2020: 1093-1098 - [c9]Mahsa Ghasemi, Erdem Bulgur, Ufuk Topcu:
Task-Oriented Active Perception and Planning in Environments with Partially Known Semantics. ICML 2020: 3484-3493 - [i7]Mahsa Ghasemi, Evan Scope Crafts, Bo Zhao, Ufuk Topcu:
Multiple Plans are Better than One: Diverse Stochastic Planning. CoRR abs/2012.15485 (2020)
2010 – 2019
- 2019
- [c8]Mahsa Ghasemi, Abolfazl Hashemi, Ufuk Topcu
On Submodularity of Quadratic Observation Selection in Constrained Networked Sensing Systems. ACC 2019: 4671-4676 - [c7]Mahsa Ghasemi, Ufuk Topcu
Online Active Perception for Partially Observable Markov Decision Processes with Limited Budget. CDC 2019: 6169-6174 - [c6]Abolfazl Hashemi, Mahsa Ghasemi, Haris Vikalo, Ufuk Topcu:
Submodular Observation Selection and Information Gathering for Quadratic Models. ICML 2019: 2653-2662 - [c5]Mahsa Ghasemi, Ufuk Topcu
Perception-Aware Point-Based Value Iteration for Partially Observable Markov Decision Processes. IJCAI 2019: 2371-2377 - [i6]Mahsa Ghasemi, Abolfazl Hashemi, Haris Vikalo, Ufuk Topcu:
Identifying Low-Dimensional Structures in Markov Chains: A Nonnegative Matrix Factorization Approach. CoRR abs/1909.12898 (2019) - [i5]Mahsa Ghasemi, Ufuk Topcu:
Online Active Perception for Partially Observable Markov Decision Processes with Limited Budget. CoRR abs/1910.02130 (2019) - [i4]Rayna Dimitrova, Mahsa Ghasemi, Ufuk Topcu:
Reactive Synthesis with Maximum Realizability of Linear Temporal Logic Specifications. CoRR abs/1910.02561 (2019) - 2018
- [c4]Abolfazl Hashemi, Mahsa Ghasemi, Haris Vikalo
A Randomized Greedy Algorithm for Near-Optimal Sensor Scheduling in Large-Scale Sensor Networks. ACC 2018: 1027-1032 - [c3]Rayna Dimitrova, Mahsa Ghasemi, Ufuk Topcu
Maximum Realizability for Linear Temporal Logic Specifications. ATVA 2018: 458-475 - [c2]Lu Feng, Mahsa Ghasemi, Kai-Wei Chang, Ufuk Topcu
Counterexamples for Robotic Planning Explained in Structured Language. ICRA 2018: 7292-7297 - [i3]Lu Feng, Mahsa Ghasemi, Kai-Wei Chang, Ufuk Topcu:
Counterexamples for Robotic Planning Explained in Structured Language. CoRR abs/1803.08966 (2018) - [i2]Rayna Dimitrova, Mahsa Ghasemi, Ufuk Topcu:
Maximum Realizability for Linear Temporal Logic Specifications. CoRR abs/1804.00415 (2018) - 2017
- [c1]Pasquale Palumbo, Mahsa Ghasemi, Mohammad Fakhroleslam
On enzymatic reactions: The role of a feedback from the substrate. CDC 2017: 441-446 - [i1]Abolfazl Hashemi, Mahsa Ghasemi, Haris Vikalo, Ufuk Topcu:
A Randomized Greedy Algorithm for Near-Optimal Sensor Scheduling in Large-Scale Sensor Networks. CoRR abs/1709.08823 (2017)
Coauthor Index
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last updated on 2024-11-05 21:59 CET by the dblp team
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