Publications

14 / 3,945 publications found.


  •  Xie, X., Mowlavi, S., Benosman, M., "Smooth and Sparse Latent Dynamics in Operator Learning with Jerk Regularization", Advances in Neural Information Processing Systems (NeurIPS) workshop on Machine Learning and the Physical Sciences (ML4PS), December 2025.
    BibTeX TR2025-166 PDF
    • @inproceedings{Xie2025dec,
    • author = {{{Xie, Xiaoyu and Mowlavi, Saviz and Benosman, Mouhacine}}},
    • title = {{{Smooth and Sparse Latent Dynamics in Operator Learning with Jerk Regularization}}},
    • booktitle = {Advances in Neural Information Processing Systems (NeurIPS) workshop on Machine Learning and the Physical Sciences (ML4PS)},
    • year = 2025,
    • month = dec,
    • url = {https://www.merl.com/publications/TR2025-166}
    • }
  •  Wang, Z., Romagnoli, R., Mowlavi, S., Nakahira, Y., "Physics-Informed Deep B-Spline Networks", arXiv, October 2025.
    BibTeX arXiv
    • @article{Wang2025oct,
    • author = {Wang, Zhuoyuan and Romagnoli, Raffaele and Mowlavi, Saviz and Nakahira, Yorie},
    • title = {{Physics-Informed Deep B-Spline Networks}},
    • journal = {arXiv},
    • year = 2025,
    • month = oct,
    • url = {https://arxiv.org/abs/2503.16777}
    • }
  •  Botvinick-Greenhouse, J., Ali, W.H., Benosman, M., Mowlavi, S., "AB-PINNs: Adaptive-Basis Physics-Informed Neural Networks for Residual-Driven Domain Decomposition Jonah Botvinick-Greenhouse, Wael H. Ali, Mouhacine Benosman, Saviz Mowlavi", arXiv, October 2025.
    BibTeX arXiv
    • @article{Botvinick-Greenhouse2025oct,
    • author = {Botvinick-Greenhouse, Jonah and Ali, Wael H. and Benosman, Mouhacine and Mowlavi, Saviz},
    • title = {{AB-PINNs: Adaptive-Basis Physics-Informed Neural Networks for Residual-Driven Domain Decomposition Jonah Botvinick-Greenhouse, Wael H. Ali, Mouhacine Benosman, Saviz Mowlavi}},
    • journal = {arXiv},
    • year = 2025,
    • month = oct,
    • url = {https://arxiv.org/abs/2510.08924}
    • }
  •  Joshi, A., Mowlavi, S., Benosman, M., "A Dual Ensemble Kalman Filter Approach to Robust Control of Nonlinear Systems: An Application to Partial Differential Equations", arXiv, August 2025.
    BibTeX arXiv
    • @article{Joshi2025aug,
    • author = {Joshi, Anant and Mowlavi, Saviz and Benosman, Mouhacine},
    • title = {{A Dual Ensemble Kalman Filter Approach to Robust Control of Nonlinear Systems: An Application to Partial Differential Equations}},
    • journal = {arXiv},
    • year = 2025,
    • month = aug,
    • url = {https://arxiv.org/abs/2508.21684}
    • }
  •  Zhang, X., Mowlavi, S., Benosman, M., Basar, T., "Policy Optimization for PDE Control with a Warm Start", American Control Conference (ACC), DOI: 10.23919/​ACC63710.2025.11107977, July 2025, pp. 3539-3544.
    BibTeX TR2025-105 PDF
    • @inproceedings{Zhang2025jul,
    • author = {Zhang, Xiangyuan and Mowlavi, Saviz and Benosman, Mouhacine and Basar, Tamer},
    • title = {{Policy Optimization for PDE Control with a Warm Start}},
    • booktitle = {American Control Conference (ACC)},
    • year = 2025,
    • pages = {3539--3544},
    • month = jul,
    • publisher = {IEEE},
    • doi = {10.23919/ACC63710.2025.11107977},
    • url = {https://www.merl.com/publications/TR2025-105}
    • }
  •  Mowlavi, S., Benosman, M., "Reinforcement Learning-Based Estimation for Spatio-Temporal Systems", Nature Scientific Reports, DOI: 10.1038/​s41598-024-72055-1, Vol. 14, pp. 22464, October 2024.
    BibTeX TR2024-134 PDF
    • @article{Mowlavi2024oct,
    • author = {Mowlavi, Saviz and Benosman, Mouhacine},
    • title = {{Reinforcement Learning-Based Estimation for Spatio-Temporal Systems}},
    • journal = {Nature Scientific Reports},
    • year = 2024,
    • volume = 14,
    • pages = 22464,
    • month = oct,
    • doi = {10.1038/s41598-024-72055-1},
    • url = {https://www.merl.com/publications/TR2024-134}
    • }
  •  Zhang, X., Mao, W., Mowlavi, S., Benosman, M., Basar, T., "Controlgym: Large-Scale Control Environments for Benchmarking Reinforcement Learning Algorithms", Learning for Dynamics & Control Conference (L4DC), July 2024, pp. 181-196.
    BibTeX TR2024-098 PDF
    • @inproceedings{Zhang2024jul2,
    • author = {Zhang, Xiangyuan and Mao, Weichao and Mowlavi, Saviz and Benosman, Mouhacine and Basar, Tamer},
    • title = {{Controlgym: Large-Scale Control Environments for Benchmarking Reinforcement Learning Algorithms}},
    • booktitle = {Learning for Dynamics \& Control Conference (L4DC)},
    • year = 2024,
    • pages = {181--196},
    • month = jul,
    • publisher = {PMLR},
    • url = {https://www.merl.com/publications/TR2024-098}
    • }
  •  Schperberg, A., Tanaka, Y., Mowlavi, S., Xu, F., Balaji, B., Hong, D., "OptiState: State Estimation of Legged Robots using Gated Networks with Transformer-based Vision and Kalman Filtering", IEEE International Conference on Robotics and Automation (ICRA), May 2024.
    BibTeX TR2024-054 PDF
    • @inproceedings{Schperberg2024may,
    • author = {Schperberg, Alexander and Tanaka, Yusuke and Mowlavi, Saviz and Xu, Feng and Balaji, Bharathan and Hong, Dennis},
    • title = {{OptiState: State Estimation of Legged Robots using Gated Networks with Transformer-based Vision and Kalman Filtering}},
    • booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
    • year = 2024,
    • month = may,
    • publisher = {IEEE},
    • url = {https://www.merl.com/publications/TR2024-054}
    • }
  •  Zhang, X., Mowlavi, S., Benosman, M., Basar, T., "Policy Optimization for PDE Control with a Warm Start", arXiv, March 2024.
    BibTeX arXiv
    • @article{Zhang2024mar,
    • author = {Zhang, Xiangyuan and Mowlavi, Saviz and Benosman, Mouhacine and Basar, Tamer},
    • title = {{Policy Optimization for PDE Control with a Warm Start}},
    • journal = {arXiv},
    • year = 2024,
    • month = mar,
    • url = {https://arxiv.org/abs/2403.01005}
    • }
  •  Mowlavi, S., Benosman, M., "Dual Parametric and State Estimation for Partial Differential Equations", IEEE Conference on Decision and Control (CDC), DOI: 10.1109/​CDC49753.2023.10384246, December 2023, pp. 8156-8161.
    BibTeX TR2023-145 PDF
    • @inproceedings{Mowlavi2023dec,
    • author = {Mowlavi, Saviz and Benosman, Mouhacine},
    • title = {{Dual Parametric and State Estimation for Partial Differential Equations}},
    • booktitle = {IEEE Conference on Decision and Control (CDC)},
    • year = 2023,
    • pages = {8156--8161},
    • month = dec,
    • publisher = {IEEE},
    • doi = {10.1109/CDC49753.2023.10384246},
    • issn = {2576-2370},
    • isbn = {979-8-3503-0125-0},
    • url = {https://www.merl.com/publications/TR2023-145}
    • }
  •  Mowlavi, S., Benosman, M., Nabi, S., "Reinforcement Learning-based Estimation for Partial Differential Equations", SIAM Conference on Applications of Dynamical Systems, May 2023.
    BibTeX TR2023-066 PDF
    • @inproceedings{Mowlavi2023may,
    • author = {Mowlavi, Saviz and Benosman, Mouhacine and Nabi, Saleh},
    • title = {{Reinforcement Learning-based Estimation for Partial Differential Equations}},
    • booktitle = {SIAM Conference on Applications of Dynamical Systems},
    • year = 2023,
    • month = may,
    • url = {https://www.merl.com/publications/TR2023-066}
    • }
  •  Mowlavi, S., Nabi, S., "Optimal Control of PDEs Using Physics-Informed Neural Networks", Advances in Neural Information Processing Systems (NeurIPS) workshop, December 2022.
    BibTeX TR2022-163 PDF
    • @inproceedings{Mowlavi2022dec,
    • author = {Mowlavi, Saviz and Nabi, Saleh},
    • title = {{Optimal Control of PDEs Using Physics-Informed Neural Networks}},
    • booktitle = {Advances in Neural Information Processing Systems (NeurIPS) workshop},
    • year = 2022,
    • month = dec,
    • url = {https://www.merl.com/publications/TR2022-163}
    • }
  •  Mowlavi, S., Nabi, S., "Optimal control of PDEs using physics-informed neural networks", Journal of Computational Physics, DOI: j.jcp.2022.111731, Vol. 473, pp. 111731, October 2022.
    BibTeX TR2022-143 PDF
    • @article{Mowlavi2022oct,
    • author = {Mowlavi, Saviz and Nabi, Saleh},
    • title = {{Optimal control of PDEs using physics-informed neural networks}},
    • journal = {Journal of Computational Physics},
    • year = 2022,
    • volume = 473,
    • pages = 111731,
    • month = oct,
    • doi = {j.jcp.2022.111731},
    • url = {https://www.merl.com/publications/TR2022-143}
    • }
  •  Mowlavi, S., Benosman, M., Nabi, S., "Reinforcement Learning State Estimation for High-Dimensional Nonlinear Systems", International Conference on Learning Representations (ICLR) Workshop, April 2022.
    BibTeX TR2022-042 PDF
    • @inproceedings{Mowlavi2022apr,
    • author = {Mowlavi, Saviz and Benosman, Mouhacine and Nabi, Saleh},
    • title = {{Reinforcement Learning State Estimation for High-Dimensional Nonlinear Systems}},
    • booktitle = {International Conference on Learning Representations (ICLR) Workshop},
    • year = 2022,
    • month = apr,
    • url = {https://www.merl.com/publications/TR2022-042}
    • }