Brian Lai

25 papers A* 2C 5Journal 15Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Input-to-state stability of discrete-time, linear time-varying systems.
Autom.
Sneha Sanjeevini, Brian Lai, Omran Kouba, Yuan Wang, Dennis S. Bernstein
2025 — conf
RLS-Based Identification with Model-Order Mismatch and Nonpersistent Excitation: A Frequency-Domain Perspective.
CDC
Riley J. Richards, Brian Lai, Syed Aseem Ul Islam, Dennis S. Bernstein
2025 C conf
Recursive Least Squares with Fading Regularization for Finite-Time Convergence without Persistent Excitation.
ACC
Brian Lai, Dimitra Panagou, Dennis S. Bernstein
2025 J jnl
Recursive Least Squares with Fading Regularization for Finite-Time Convergence without Persistent Excitation.
CoRR
Brian Lai, Dimitra Panagou, Dennis S. Bernstein
2024 C conf
Adaptive Kalman Filtering Developed from Recursive Least Squares Forgetting Algorithms.
ACC
Brian Lai, Dennis S. Bernstein
2024 J jnl
Adaptive Kalman Filtering Developed from Recursive Least Squares Forgetting Algorithms.
CoRR
Brian Lai, Dennis S. Bernstein
2024 C conf
Adaptive Real-Time Numerical Differentiation with Variable-Rate Forgetting and Exponential Resetting.
ACC
Shashank Verma, Brian Lai, Dennis S. Bernstein
2024 — conf
Convergence of Recursive Least Squares Based Input/Output System Identification with Model Order Mismatch.
CDC
Brian Lai, Dennis S. Bernstein
2024 J jnl
Convergence of Recursive Least Squares Based Input/Output System Identification with Model Order Mismatch.
CoRR
Brian Lai, Dennis S. Bernstein
2024 J jnl
Efficient Batch and Recursive Least Squares for Matrix Parameter Estimation with Application to Adaptive MPC.
CoRR
Brian Lai, Dennis S. Bernstein
2024 J jnl
Efficient Batch and Recursive Least Squares for Matrix Parameter Estimation.
IEEE Control. Syst. Lett.
Brian Lai, Dennis S. Bernstein
2024 J jnl
Generalized Forgetting Recursive Least Squares: Stability and Robustness Guarantees.
IEEE Trans. Autom. Control.
Brian Lai, Dennis S. Bernstein
2024 J jnl
SIFt-RLS: Subspace of Information Forgetting Recursive Least Squares.
CoRR
Brian Lai, Dennis S. Bernstein
2023 J jnl
Adaptive Real-Time Numerical Differentiation with Variable-Rate Forgetting and Exponential Resetting.
CoRR
Shashank Verma, Brian Lai, Dennis S. Bernstein
2023 C conf
Adaptive Static-Output-Feedback Stabilization with Warm-Start.
ACC
Brian Lai, Dennis S. Bernstein
2023 J jnl
Exponential Resetting and Cyclic Resetting Recursive Least Squares.
IEEE Control. Syst. Lett.
Brian Lai, Dennis S. Bernstein
2023 J jnl
Generalized Forgetting Recursive Least Squares: Stability and Robustness Guarantees.
CoRR
Brian Lai, Dennis S. Bernstein
2021 A* conf
DyStaB: Unsupervised Object Segmentation via Dynamic-Static Bootstrapping.
CVPR
Yanchao Yang, Brian Lai, Stefano Soatto
2021 J jnl
Nonlinear Trajectory-Based Region of Attraction Estimation for Aircraft Dynamics Analysis.
CoRR
Brian Lai, Torbjørn Cunis, Laurent Burlion
2021 C conf
Regularization-Induced Bias and Consistency in Recursive Least Squares.
ACC
Brian Lai, Syed Aseem Ul Islam, Dennis S. Bernstein
2021 J jnl
Regularization-Induced Bias and Consistency in Recursive Least Squares.
CoRR
Brian Lai, Syed Aseem Ul Islam, Dennis S. Bernstein
2020 — conf
ErrorNet: Learning Error Representations from Limited Data to Improve Vascular Segmentation.
ISBI
Nima Tajbakhsh, Brian Lai, Shilpa P. Ananth, Xiaowei Ding
2020 J jnl
Time-Supervised Primary Object Segmentation.
CoRR
Yanchao Yang, Brian Lai, Stefano Soatto
2019 A* conf
3D Volumetric Modeling with Introspective Neural Networks.
AAAI
Wenlong Huang, Brian Lai, Weijian Xu, Zhuowen Tu
2019 J jnl
ErrorNet: Learning error representations from limited data to improve vascular segmentation.
CoRR
Nima Tajbakhsh, Brian Lai, Shilpa P. Ananth, Xiaowei Ding