Brian Lai

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 17

Top Topics

Recursive Least Squares

Top Venues

IEEE Control. Syst. Lett.

Publications

Brian Lai, Dennis S. Bernstein
Efficient Batch and Recursive Least Squares for Matrix Parameter Estimation. IEEE Control. Syst. Lett. 8 (2024)
Brian Lai, Dennis S. Bernstein
SIFt-RLS: Subspace of Information Forgetting Recursive Least Squares. CoRR (2024)
Brian Lai, Dennis S. Bernstein
Efficient Batch and Recursive Least Squares for Matrix Parameter Estimation with Application to Adaptive MPC. CoRR (2024)
Brian Lai, Dennis S. Bernstein
Adaptive Kalman Filtering Developed from Recursive Least Squares Forgetting Algorithms. CoRR (2024)
Brian Lai, Dennis S. Bernstein
Convergence of Recursive Least Squares Based Input/Output System Identification with Model Order Mismatch. CoRR (2024)
Brian Lai, Dennis S. Bernstein
Adaptive Static-Output-Feedback Stabilization with Warm-Start. ACC (2023)
Brian Lai, Dennis S. Bernstein
Generalized Forgetting Recursive Least Squares: Stability and Robustness Guarantees. CoRR (2023)
Brian Lai, Dennis S. Bernstein
Exponential Resetting and Cyclic Resetting Recursive Least Squares. IEEE Control. Syst. Lett. 7 (2023)
Shashank Verma, Brian Lai, Dennis S. Bernstein
Adaptive Real-Time Numerical Differentiation with Variable-Rate Forgetting and Exponential Resetting. CoRR (2023)
Brian Lai, Syed Aseem Ul Islam, Dennis S. Bernstein
Regularization-Induced Bias and Consistency in Recursive Least Squares. ACC (2021)
Yanchao Yang, Brian Lai, Stefano Soatto
DyStaB: Unsupervised Object Segmentation via Dynamic-Static Bootstrapping. CVPR (2021)
Brian Lai, Torbjørn Cunis, Laurent Burlion
Nonlinear Trajectory-Based Region of Attraction Estimation for Aircraft Dynamics Analysis. CoRR (2021)
Brian Lai, Syed Aseem Ul Islam, Dennis S. Bernstein
Regularization-Induced Bias and Consistency in Recursive Least Squares. CoRR (2021)
Yanchao Yang, Brian Lai, Stefano Soatto
Time-Supervised Primary Object Segmentation. CoRR (2020)
Nima Tajbakhsh, Brian Lai, Shilpa P. Ananth, Xiaowei Ding
ErrorNet: Learning Error Representations from Limited Data to Improve Vascular Segmentation. ISBI (2020)
Wenlong Huang, Brian Lai, Weijian Xu, Zhuowen Tu
3D Volumetric Modeling with Introspective Neural Networks. AAAI (2019)
Nima Tajbakhsh, Brian Lai, Shilpa P. Ananth, Xiaowei Ding
ErrorNet: Learning error representations from limited data to improve vascular segmentation. CoRR (2019)