Saviz Mowlavi - RankMe

19 papers A* 1C 1Journal 14Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	OpInf-LLM: Parametric PDE Solving with LLMs via Operator Inference. CoRR Zhuoyuan Wang, Hanjiang Hu, Xiyu Deng, Saviz Mowlavi, Yorie Nakahira
2026	J	`jnl`	Physics-Informed Deep B-Spline Networks. Trans. Mach. Learn. Res. Zhuoyuan Wang, Raffaele Romagnoli, Saviz Mowlavi, Yorie Nakahira
2025	—	`conf`	A Dual Ensemble Kalman Filter Approach to Robust Control of Nonlinear Systems: An Application to Partial Differential Equations. CDC Anant A. Joshi, Saviz Mowlavi, Mouhacine Benosman
2025	J	`jnl`	A Dual Ensemble Kalman Filter Approach to Robust Control of Nonlinear Systems: An Application to Partial Differential Equations. CoRR Anant A. Joshi, Saviz Mowlavi, Mouhacine Benosman
2025	J	`jnl`	AB-PINNs: Adaptive-Basis Physics-Informed Neural Networks for Residual-Driven Domain Decomposition. CoRR Jonah Botvinick-Greenhouse, Wael H. Ali, Mouhacine Benosman, Saviz Mowlavi
2025	C	`conf`	Policy Optimization for PDE Control with a Warm Start. ACC Xiangyuan Zhang, Saviz Mowlavi, Mouhacine Benosman, Tamer Basar
2024	—	`conf`	Controlgym: Large-scale control environments for benchmarking reinforcement learning algorithms. L4DC Xiangyuan Zhang, Weichao Mao, Saviz Mowlavi, Mouhacine Benosman, Tamer Basar
2024	A*	`conf`	OptiState: State Estimation of Legged Robots using Gated Networks with Transformer-based Vision and Kalman Filtering. ICRA Alexander Schperberg, Yusuke Tanaka, Saviz Mowlavi, Feng Xu, Bharathan Balaji, Dennis W. Hong
2024	J	`jnl`	OptiState: State Estimation of Legged Robots using Gated Networks with Transformer-based Vision and Kalman Filtering. CoRR Alexander Schperberg, Yusuke Tanaka, Saviz Mowlavi, Feng Xu, Bharathan Balaji, Dennis W. Hong
2024	J	`jnl`	Policy Optimization for PDE Control with a Warm Start. CoRR Xiangyuan Zhang, Saviz Mowlavi, Mouhacine Benosman, Tamer Basar
2024	J	`jnl`	Smooth and Sparse Latent Dynamics in Operator Learning with Jerk Regularization. CoRR Xiaoyu Xie, Saviz Mowlavi, Mouhacine Benosman
2023	J	`jnl`	Controlgym: Large-Scale Safety-Critical Control Environments for Benchmarking Reinforcement Learning Algorithms. CoRR Xiangyuan Zhang, Weichao Mao, Saviz Mowlavi, Mouhacine Benosman, Tamer Basar
2023	—	`conf`	Dual Parametric and State Estimation for Partial Differential Equations. CDC Saviz Mowlavi, Mouhacine Benosman
2023	J	`jnl`	Dual parametric and state estimation for partial differential equations. CoRR Saviz Mowlavi, Mouhacine Benosman
2023	J	`jnl`	Global Convergence of Receding-Horizon Policy Search in Learning Estimator Designs. CoRR Xiangyuan Zhang, Saviz Mowlavi, Mouhacine Benosman, Tamer Basar
2023	J	`jnl`	Optimal control of PDEs using physics-informed neural networks. J. Comput. Phys. Saviz Mowlavi, Saleh Nabi
2023	J	`jnl`	Reinforcement learning-based estimation for partial differential equations. CoRR Saviz Mowlavi, Mouhacine Benosman, Saleh Nabi
2023	J	`jnl`	Topology optimization with physics-informed neural networks: application to noninvasive detection of hidden geometries. CoRR Saviz Mowlavi, Ken Kamrin
2018	J	`jnl`	Model Order Reduction for Stochastic Dynamical Systems with Continuous Symmetries. SIAM J. Sci. Comput. Saviz Mowlavi, Themistoklis P. Sapsis