Mahsa Ghasemi

According to our database, Mahsa Ghasemi authored at least 27 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

FRIH: A face recognition framework using image hashing.

Mahsa Ghasemi, Hamid Hassanpour

Multim. Tools Appl., June, 2024

No-Regret Learning in Dynamic Stackelberg Games.

Niklas T. Lauffer, Mahsa Ghasemi, Abolfazl Hashemi, Yagiz Savas, Ufuk Topcu

IEEE Trans. Autom. Control., March, 2024

Optimal Sensor and Actuator Selection for Factored Markov Decision Processes: Complexity, Approximability and Algorithms.

Jayanth Bhargav, Mahsa Ghasemi, Shreyas Sundaram

CoRR, 2024

Submodular information selection for hypothesis testing with misclassification penalties.

Jayanth Bhargav, Mahsa Ghasemi, Shreyas Sundaram

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

Adaptive Online Experimental Design for Causal Discovery.

Muhammad Qasim Elahi, Lai Wei, Murat Kocaoglu, Mahsa Ghasemi

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Privacy-Preserving Decentralized Actor-Critic for Cooperative Multi-Agent Reinforcement Learning.

Maheed H. Ahmed, Mahsa Ghasemi

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Formal Methods for Autonomous Systems.

Tichakorn Wongpiromsarn, Mahsa Ghasemi, Murat Cubuktepe, Georgios Bakirtzis, Steven Carr, Mustafa O. Karabag, Cyrus Neary, Parham Gohari, Ufuk Topcu

Found. Trends Syst. Control., 2023

Approximate Allocation Matching for Structural Causal Bandits with Unobserved Confounders.

Lai Wei, Muhammad Qasim Elahi, Mahsa Ghasemi, Murat Kocaoglu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

On the Complexity and Approximability of Optimal Sensor Selection for Mixed-Observable Markov Decision Processes.

Jayanth Bhargav, Mahsa Ghasemi, Shreyas Sundaram

Proceedings of the American Control Conference, 2023

Inverse Reinforcement Learning with Learning and Leveraging Demonstrators' Varying Expertise Levels.

Somtochukwu Oguchienti, Mahsa Ghasemi

Proceedings of the 59th Annual Allerton Conference on Communication, 2023

2021

Randomized Greedy Sensor Selection: Leveraging Weak Submodularity.

Abolfazl Hashemi, Mahsa Ghasemi, Haris Vikalo, Ufuk Topcu

IEEE Trans. Autom. Control., 2021

No-regret learning with high-probability in adversarial Markov decision processes.

Mahsa Ghasemi, Abolfazl Hashemi, Haris Vikalo, Ufuk Topcu

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

A Barrier Pair Method for Safe Human-Robot Shared Autonomy.

Binghan He, Mahsa Ghasemi, Ufuk Topcu, Luis Sentis

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Online Learning with Implicit Exploration in Episodic Markov Decision Processes.

Mahsa Ghasemi, Abolfazl Hashemi, Haris Vikalo, Ufuk Topcu

Proceedings of the 2021 American Control Conference, 2021

Multiple Plans are Better than One: Diverse Stochastic Planning.

Mahsa Ghasemi, Evan Scope Crafts, Bo Zhao, Ufuk Topcu

Proceedings of the Thirty-First International Conference on Automated Planning and Scheduling, 2021

2020

Reactive synthesis with maximum realizability of linear temporal logic specifications.

Rayna Dimitrova, Mahsa Ghasemi, Ufuk Topcu

Acta Informatica, 2020

Task-Oriented Active Perception and Planning in Environments with Partially Known Semantics.

Mahsa Ghasemi, Erdem Bulgur, Ufuk Topcu

Proceedings of the 37th International Conference on Machine Learning, 2020

Identifying Sparse Low-Dimensional Structures in Markov Chains: A Nonnegative Matrix Factorization Approach.

Mahsa Ghasemi, Abolfazl Hashemi, Haris Vikalo, Ufuk Topcu

Proceedings of the 2020 American Control Conference, 2020

2019

Identifying Low-Dimensional Structures in Markov Chains: A Nonnegative Matrix Factorization Approach.

Mahsa Ghasemi, Abolfazl Hashemi, Haris Vikalo, Ufuk Topcu

CoRR, 2019

Perception-Aware Point-Based Value Iteration for Partially Observable Markov Decision Processes.

Mahsa Ghasemi, Ufuk Topcu

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Submodular Observation Selection and Information Gathering for Quadratic Models.

Abolfazl Hashemi, Mahsa Ghasemi, Haris Vikalo, Ufuk Topcu

Proceedings of the 36th International Conference on Machine Learning, 2019

Online Active Perception for Partially Observable Markov Decision Processes with Limited Budget.

Mahsa Ghasemi, Ufuk Topcu

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

On Submodularity of Quadratic Observation Selection in Constrained Networked Sensing Systems.

Mahsa Ghasemi, Abolfazl Hashemi, Ufuk Topcu, Haris Vikalo

Proceedings of the 2019 American Control Conference, 2019

2018

Counterexamples for Robotic Planning Explained in Structured Language.

Lu Feng, Mahsa Ghasemi, Kai-Wei Chang, Ufuk Topcu

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Maximum Realizability for Linear Temporal Logic Specifications.

Rayna Dimitrova, Mahsa Ghasemi, Ufuk Topcu

Proceedings of the Automated Technology for Verification and Analysis, 2018

A Randomized Greedy Algorithm for Near-Optimal Sensor Scheduling in Large-Scale Sensor Networks.

Abolfazl Hashemi, Mahsa Ghasemi, Haris Vikalo, Ufuk Topcu

Proceedings of the 2018 Annual American Control Conference, 2018

2017

On enzymatic reactions: The role of a feedback from the substrate.

Pasquale Palumbo, Mahsa Ghasemi, Mohammad Fakhroleslam

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017