Brian Lai

According to our database, Brian Lai authored at least 14 papers between 2019 and 2024.

Collaborative distances:

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

2024

Adaptive Kalman Filtering Developed from Recursive Least Squares Forgetting Algorithms.

Brian Lai, Dennis S. Bernstein

CoRR, 2024

Efficient Batch and Recursive Least Squares for Matrix Parameter Estimation with Application to Adaptive MPC.

Brian Lai, Dennis S. Bernstein

CoRR, 2024

Convergence of Recursive Least Squares Based Input/Output System Identification with Model Order Mismatch.

Brian Lai, Dennis S. Bernstein

CoRR, 2024

SIFt-RLS: Subspace of Information Forgetting Recursive Least Squares.

Brian Lai, Dennis S. Bernstein

CoRR, 2024

2023

Exponential Resetting and Cyclic Resetting Recursive Least Squares.

Brian Lai, Dennis S. Bernstein

IEEE Control. Syst. Lett., 2023

Adaptive Real-Time Numerical Differentiation with Variable-Rate Forgetting and Exponential Resetting.

Shashank Verma, Brian Lai, Dennis S. Bernstein

CoRR, 2023

Generalized Forgetting Recursive Least Squares: Stability and Robustness Guarantees.

Brian Lai, Dennis S. Bernstein

CoRR, 2023

Adaptive Static-Output-Feedback Stabilization with Warm-Start.

Brian Lai, Dennis S. Bernstein

Proceedings of the American Control Conference, 2023

2021

Nonlinear Trajectory-Based Region of Attraction Estimation for Aircraft Dynamics Analysis.

Brian Lai, Torbjørn Cunis, Laurent Burlion

CoRR, 2021

DyStaB: Unsupervised Object Segmentation via Dynamic-Static Bootstrapping.

Yanchao Yang, Brian Lai, Stefano Soatto

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Regularization-Induced Bias and Consistency in Recursive Least Squares.

Brian Lai, Syed Aseem Ul Islam, Dennis S. Bernstein

Proceedings of the 2021 American Control Conference, 2021

2020

Time-Supervised Primary Object Segmentation.

Yanchao Yang, Brian Lai, Stefano Soatto

CoRR, 2020

ErrorNet: Learning Error Representations from Limited Data to Improve Vascular Segmentation.

Nima Tajbakhsh, Brian Lai, Shilpa P. Ananth, Xiaowei Ding

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

3D Volumetric Modeling with Introspective Neural Networks.

Wenlong Huang, Brian Lai, Weijian Xu, Zhuowen Tu

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019