Saviz Mowlavi

According to our database, Saviz Mowlavi authored at least 15 papers between 2018 and 2026.

Collaborative distances:

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

2026

OpInf-LLM: Parametric PDE Solving with LLMs via Operator Inference.

Zhuoyuan Wang, Hanjiang Hu, Xiyu Deng, Saviz Mowlavi, Yorie Nakahira

CoRR, February, 2026

Physics-Informed Deep B-Spline Networks.

Zhuoyuan Wang, Raffaele Romagnoli, Saviz Mowlavi, Yorie Nakahira

Trans. Mach. Learn. Res., 2026

2025

AB-PINNs: Adaptive-Basis Physics-Informed Neural Networks for Residual-Driven Domain Decomposition.

Jonah Botvinick-Greenhouse, Wael H. Ali, Mouhacine Benosman, Saviz Mowlavi

CoRR, October, 2025

A Dual Ensemble Kalman Filter Approach to Robust Control of Nonlinear Systems: An Application to Partial Differential Equations.

Anant A. Joshi, Saviz Mowlavi, Mouhacine Benosman

Proceedings of the 64th IEEE Conference on Decision and Control, 2025

Policy Optimization for PDE Control with a Warm Start.

Xiangyuan Zhang, Saviz Mowlavi, Mouhacine Benosman, Tamer Basar

Proceedings of the 2025 American Control Conference, 2025

2024

Smooth and Sparse Latent Dynamics in Operator Learning with Jerk Regularization.

Xiaoyu Xie, Saviz Mowlavi, Mouhacine Benosman

CoRR, 2024

Controlgym: Large-scale control environments for benchmarking reinforcement learning algorithms.

Xiangyuan Zhang, Weichao Mao, Saviz Mowlavi, Mouhacine Benosman, Tamer Basar

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

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

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

Optimal control of PDEs using physics-informed neural networks.

Saviz Mowlavi, Saleh Nabi

J. Comput. Phys., 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

Global Convergence of Receding-Horizon Policy Search in Learning Estimator Designs.

Xiangyuan Zhang, Saviz Mowlavi, Mouhacine Benosman, Tamer Basar

CoRR, 2023

Topology optimization with physics-informed neural networks: application to noninvasive detection of hidden geometries.

Saviz Mowlavi, Ken Kamrin

CoRR, 2023

Reinforcement learning-based estimation for partial differential equations.

Saviz Mowlavi, Mouhacine Benosman, Saleh Nabi

CoRR, 2023

Dual Parametric and State Estimation for Partial Differential Equations.

Saviz Mowlavi, Mouhacine Benosman

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2018

Model Order Reduction for Stochastic Dynamical Systems with Continuous Symmetries.

Saviz Mowlavi, Themistoklis P. Sapsis

SIAM J. Sci. Comput., 2018