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Can Yaras
Can Yaras
在 umich.edu 的电子邮件经过验证 - 首页
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Neural collapse with normalized features: A geometric analysis over the riemannian manifold
C Yaras, P Wang, Z Zhu, L Balzano, Q Qu
Advances in neural information processing systems 35, 11547-11560, 2022
232022
Randomized histogram matching: A simple augmentation for unsupervised domain adaptation in overhead imagery
C Yaras, K Kassaw, B Huang, K Bradbury, JM Malof
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
122023
Linear Convergence Analysis of Neural Collapse with Unconstrained Features
P Wang, H Liu, C Yaras, L Balzano, Q Qu
OPT 2022: Optimization for Machine Learning (NeurIPS 2022 Workshop), 0
8*
The Law of Parsimony in Gradient Descent for Learning Deep Linear Networks
C Yaras, P Wang, W Hu, Z Zhu, L Balzano, Q Qu
arXiv preprint arXiv:2306.01154, 2023
52023
Miniaturizing a chip-scale spectrometer using local strain engineering and total-variation regularized reconstruction
T Sarwar, C Yaras, X Li, Q Qu, PC Ku
Nano Letters 22 (20), 8174-8180, 2022
42022
Understanding Deep Representation Learning via Layerwise Feature Compression and Discrimination
P Wang, X Li, C Yaras, Z Zhu, L Balzano, W Hu, Q Qu
arXiv preprint arXiv:2311.02960, 2023
12023
Accelerating Deep Learning in Reconstructive Spectroscopy Using Synthetic Data
P Li, C Yaras, T Sarwar, PC Ku, Q Qu
CLEO: Applications and Technology, JTu2A. 71, 2023
2023
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