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Lahijanian, Morteza
12 publications
IJCAI
2025
Beyond Winning Strategies: Admissible and Admissible Winning Strategies for Quantitative Reachability Games
Karan Muvvala
,
Qi Heng Ho
,
Morteza Lahijanian
AAAI
2025
Error Bounds for Gaussian Process Regression Under Bounded Support Noise with Applications to Safety Certification
Robert Reed
,
Luca Laurenti
,
Morteza Lahijanian
UAI
2025
Error Bounds for Physics-Informed Neural Networks in Fokker-Planck PDEs
Chun-Wei Kong
,
Luca Laurenti
,
Jay McMahon
,
Morteza Lahijanian
L4DC
2025
Temporal Logic Control for Nonlinear Stochastic Systems Under Unknown Disturbances
Ibon Gracia
,
Luca Laurenti
,
Manuel Mazo Jr
,
Alessandro Abate
,
Morteza Lahijanian
L4DC
2024
Data-Driven Strategy Synthesis for Stochastic Systems with Unknown Nonlinear Disturbances
Ibon Gracia
,
Dimitris Boskos
,
Luca Laurenti
,
Morteza Lahijanian
UAI
2024
Recursively-Constrained Partially Observable Markov Decision Processes
Qi Heng Ho
,
Tyler Becker
,
Benjamin Kraske
,
Zakariya Laouar
,
Martin Feather
,
Federico Rossi
,
Morteza Lahijanian
,
Zachary Sunberg
UAI
2024
Sound Heuristic Search Value Iteration for Undiscounted POMDPs with Reachability Objectives
Qi Heng Ho
,
Martin Feather
,
Federico Rossi
,
Zachary Sunberg
,
Morteza Lahijanian
ICML
2023
BNN-DP: Robustness Certification of Bayesian Neural Networks via Dynamic Programming
Steven Adams
,
Andrea Patane
,
Morteza Lahijanian
,
Luca Laurenti
NeurIPS
2022
An Algorithm for Learning Switched Linear Dynamics from Data
Guillaume Berger
,
Monal Narasimhamurthy
,
Kandai Watanabe
,
Morteza Lahijanian
,
Sriram Sankaranarayanan
NeurIPS
2022
Safety Guarantees for Neural Network Dynamic Systems via Stochastic Barrier Functions
Rayan Mazouz
,
Karan Muvvala
,
Akash Ratheesh Babu
,
Luca Laurenti
,
Morteza Lahijanian
AAAI
2015
This Time the Robot Settles for a Cost: A Quantitative Approach to Temporal Logic Planning with Partial Satisfaction
Morteza Lahijanian
,
Shaull Almagor
,
Dror Fried
,
Lydia E. Kavraki
,
Moshe Y. Vardi
AAAI
2014
Optimal and Efficient Stochastic Motion Planning in Partially-Known Environments
Ryan Luna
,
Morteza Lahijanian
,
Mark Moll
,
Lydia E. Kavraki