Model Order Reduction for Stochastic Dynamical Systems with Continuous Symmetries. - Saviz Mowlavi; Themistoklis P. Sapsis (SIAM J. Sci. Comput., 2018)

Dual Parametric and State Estimation for Partial Differential Equations. - Saviz Mowlavi; Mouhacine Benosman (CDC, 2023)

Reinforcement learning-based estimation for partial differential equations. - Saviz Mowlavi; Mouhacine Benosman; Saleh Nabi (CoRR, 2023)

Topology optimization with physics-informed neural networks: application to noninvasive detection of hidden geometries. - Saviz Mowlavi; Ken Kamrin (CoRR, 2023)

Global Convergence of Receding-Horizon Policy Search in Learning Estimator Designs. - Xiangyuan Zhang; Saviz Mowlavi; Mouhacine Benosman; Tamer Basar (CoRR, 2023)

Controlgym: Large-Scale Safety-Critical Control Environments for Benchmarking Reinforcement Learning Algorithms. - Xiangyuan Zhang; Weichao Mao; Saviz Mowlavi; Mouhacine Benosman; Tamer Basar (CoRR, 2023)

Optimal control of PDEs using physics-informed neural networks. - Saviz Mowlavi; Saleh Nabi (J. Comput. Phys., 2023)

OptiState: State Estimation of Legged Robots using Gated Networks with Transformer-based Vision and Kalman Filtering. - Alexander Schperberg; Yusuke Tanaka; Saviz Mowlavi; Feng Xu; Bharathan Balaji; Dennis W. Hong (ICRA, 2024)

Controlgym: Large-scale control environments for benchmarking reinforcement learning algorithms. - Xiangyuan Zhang; Weichao Mao; Saviz Mowlavi; Mouhacine Benosman; Tamer Basar (L4DC, 2024)

Smooth and Sparse Latent Dynamics in Operator Learning with Jerk Regularization. - Xiaoyu Xie; Saviz Mowlavi; Mouhacine Benosman (CoRR, 2024)

Policy Optimization for PDE Control with a Warm Start. - Xiangyuan Zhang; Saviz Mowlavi; Mouhacine Benosman; Tamer Basar (ACC, 2025)