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Oscar Mickelin
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Journal Articles
- 2024
- [j7]Aviv Adler, Oscar Mickelin, Ragesh K. Ramachandran, Gaurav S. Sukhatme, Sertac Karaman:
The role of heterogeneity in autonomous perimeter defense problems. Int. J. Robotics Res. 43(9): 1363-1381 (2024) - 2023
- [j6]Oscar Mickelin, Sertac Karaman:
Recovering orthogonal tensors under arbitrarily strong, but locally correlated, noise. Numer. Linear Algebra Appl. 30(4) (2023) - [j5]Nicholas F. Marshall, Oscar Mickelin:
An Optimal Scheduled Learning Rate for a Randomized Kaczmarz Algorithm. SIAM J. Matrix Anal. Appl. 44(1): 312-330 (2023) - [j4]Nicholas F. Marshall, Oscar Mickelin, Amit Singer:
Fast Expansion into Harmonics on the Disk: A Steerable Basis with Fast Radial Convolutions. SIAM J. Sci. Comput. 45(5): 2431- (2023) - 2020
- [j3]Oscar Mickelin, Sertac Karaman:
On algorithms for and computing with the tensor ring decomposition. Numer. Linear Algebra Appl. 27(3) (2020) - [j2]Oscar Mickelin, Sertac Karaman:
Multiresolution Low-rank Tensor Formats. SIAM J. Matrix Anal. Appl. 41(3): 1086-1114 (2020) - 2019
- [j1]Liren Yang, Oscar Mickelin, Necmiye Ozay:
On Sufficient Conditions for Mixed Monotonicity. IEEE Trans. Autom. Control. 64(12): 5080-5085 (2019)
Conference and Workshop Papers
- 2022
- [c2]Aviv Adler, Oscar Mickelin, Ragesh K. Ramachandran, Gaurav S. Sukhatme, Sertac Karaman:
The Role of Heterogeneity in Autonomous Perimeter Defense Problems. WAFR 2022: 115-131 - 2014
- [c1]Oscar Mickelin, Necmiye Ozay, Richard M. Murray:
Synthesis of correct-by-construction control protocols for hybrid systems using partial state information. ACC 2014: 2305-2311
Informal and Other Publications
- 2024
- [i12]Joe Kileel, Nicholas F. Marshall, Oscar Mickelin, Amit Singer:
Fast expansion into harmonics on the ball. CoRR abs/2406.05922 (2024) - 2022
- [i11]Aviv Adler, Oscar Mickelin, Ragesh K. Ramachandran, Gaurav S. Sukhatme, Sertac Karaman:
The Role of Heterogeneity in Autonomous Perimeter Defense Problems. CoRR abs/2202.10433 (2022) - [i10]Nicholas F. Marshall, Oscar Mickelin:
An optimal scheduled learning rate for a randomized Kaczmarz algorithm. CoRR abs/2202.12224 (2022) - [i9]Nicholas F. Marshall, Oscar Mickelin, Amit Singer:
Fast expansion into harmonics on the disk: a steerable basis with fast radial convolutions. CoRR abs/2207.13674 (2022) - [i8]Tamir Bendory, Yuehaw Khoo, Joe Kileel, Oscar Mickelin, Amit Singer:
Autocorrelation analysis for cryo-EM with sparsity constraints: Improved sample complexity and projection-based algorithms. CoRR abs/2209.10531 (2022) - [i7]Nicholas F. Marshall, Oscar Mickelin, Yunpeng Shi, Amit Singer:
Fast Principal Component Analysis for Cryo-EM Images. CoRR abs/2210.17501 (2022) - 2021
- [i6]Oscar Mickelin, Sertac Karaman:
Recovering orthogonal tensors under arbitrarily strong, but locally correlated, noise. CoRR abs/2102.09661 (2021) - [i5]Tamir Bendory, Oscar Mickelin, Amit Singer:
Sparse multi-reference alignment: sample complexity and computational hardness. CoRR abs/2109.11656 (2021) - 2019
- [i4]Oscar Mickelin, Sertac Karaman:
Optimal orthogonal approximations to symmetric tensors cannot always be chosen symmetric. CoRR abs/1906.06407 (2019) - [i3]Oscar Mickelin, Sertac Karaman:
Multi-resolution Low-rank Tensor Formats. CoRR abs/1908.11413 (2019) - 2018
- [i2]Liren Yang, Oscar Mickelin, Necmiye Ozay:
On sufficient conditions for mixed monotonicity. CoRR abs/1803.04528 (2018) - [i1]Oscar Mickelin, Sertac Karaman:
Tensor ring decomposition. CoRR abs/1807.02513 (2018)
Coauthor Index
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