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2020 – today
- 2024
[j3]Brian Lai
, Dennis S. Bernstein:
Efficient Batch and Recursive Least Squares for Matrix Parameter Estimation. IEEE Control. Syst. Lett. 8: 1403-1408 (2024)- [j2]Brian Lai, Dennis S. Bernstein:
Generalized Forgetting Recursive Least Squares: Stability and Robustness Guarantees. IEEE Trans. Autom. Control. 69(11): 7646-7661 (2024) - [c7]Shashank Verma, Brian Lai, Dennis S. Bernstein:
Adaptive Real-Time Numerical Differentiation with Variable-Rate Forgetting and Exponential Resetting. ACC 2024: 3118-3123 - [c6]Brian Lai, Dennis S. Bernstein:
Adaptive Kalman Filtering Developed from Recursive Least Squares Forgetting Algorithms. ACC 2024: 4378-4383 - [i10]Brian Lai, Dennis S. Bernstein:
SIFt-RLS: Subspace of Information Forgetting Recursive Least Squares. CoRR abs/2404.10844 (2024) - [i9]Brian Lai, Dennis S. Bernstein:
Convergence of Recursive Least Squares Based Input/Output System Identification with Model Order Mismatch. CoRR abs/2404.10850 (2024) - [i8]Brian Lai, Dennis S. Bernstein:
Efficient Batch and Recursive Least Squares for Matrix Parameter Estimation with Application to Adaptive MPC. CoRR abs/2404.10911 (2024) - [i7]Brian Lai, Dennis S. Bernstein:
Adaptive Kalman Filtering Developed from Recursive Least Squares Forgetting Algorithms. CoRR abs/2404.10914 (2024) - 2023
- [j1]Brian Lai, Dennis S. Bernstein:
Exponential Resetting and Cyclic Resetting Recursive Least Squares. IEEE Control. Syst. Lett. 7: 985-990 (2023) - [c5]Brian Lai, Dennis S. Bernstein:
Adaptive Static-Output-Feedback Stabilization with Warm-Start. ACC 2023: 2399-2404 - [i6]Brian Lai, Dennis S. Bernstein:
Generalized Forgetting Recursive Least Squares: Stability and Robustness Guarantees. CoRR abs/2308.04259 (2023) - [i5]Shashank Verma, Brian Lai, Dennis S. Bernstein:
Adaptive Real-Time Numerical Differentiation with Variable-Rate Forgetting and Exponential Resetting. CoRR abs/2309.16159 (2023) - 2021
- [c4]Brian Lai, Syed Aseem Ul Islam, Dennis S. Bernstein:
Regularization-Induced Bias and Consistency in Recursive Least Squares. ACC 2021: 3987-3992 - [c3]Yanchao Yang, Brian Lai, Stefano Soatto:
DyStaB: Unsupervised Object Segmentation via Dynamic-Static Bootstrapping. CVPR 2021: 2826-2836 - [i4]Brian Lai, Syed Aseem Ul Islam, Dennis S. Bernstein:
Regularization-Induced Bias and Consistency in Recursive Least Squares. CoRR abs/2106.08799 (2021) - [i3]Brian Lai, Torbjørn Cunis, Laurent Burlion:
Nonlinear Trajectory-Based Region of Attraction Estimation for Aircraft Dynamics Analysis. CoRR abs/2106.08850 (2021) - 2020
- [c2]Nima Tajbakhsh, Brian Lai, Shilpa P. Ananth, Xiaowei Ding:
ErrorNet: Learning Error Representations from Limited Data to Improve Vascular Segmentation. ISBI 2020: 1364-1368 - [i2]Yanchao Yang, Brian Lai, Stefano Soatto:
Time-Supervised Primary Object Segmentation. CoRR abs/2008.07012 (2020)
2010 – 2019
- 2019
- [c1]Wenlong Huang, Brian Lai, Weijian Xu, Zhuowen Tu:
3D Volumetric Modeling with Introspective Neural Networks. AAAI 2019: 8481-8488 - [i1]Nima Tajbakhsh, Brian Lai, Shilpa P. Ananth, Xiaowei Ding:
ErrorNet: Learning error representations from limited data to improve vascular segmentation. CoRR abs/1910.04814 (2019)
Coauthor Index
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last updated on 2024-12-02 22:35 CET by the dblp team
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