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Yutong Wang
Yutong Wang
Postdoctoral Research Fellow, University of Michigan
Verified email at umich.edu - Homepage
Title
Cited by
Cited by
Year
Hybrid stem cell states: Insights into the relationship between mammary development and breast cancer using single-cell transcriptomics
T Thong, Y Wang, MD Brooks, CT Lee, C Scott, L Balzano, MS Wicha, ...
Frontiers in Cell and Developmental Biology 8, 288, 2020
222020
Weston-watkins hinge loss and ordered partitions
Y Wang, C Scott
Advances in neural information processing systems 33, 19873-19883, 2020
142020
Benign overfitting and grokking in relu networks for xor cluster data
Z Xu, Y Wang, S Frei, G Vardi, W Hu
arXiv preprint arXiv:2310.02541, 2023
102023
Learning from label proportions by learning with label noise
J Zhang, Y Wang, C Scott
Advances in Neural Information Processing Systems 35, 26933-26942, 2022
102022
On classification-calibration of Gamma-Phi losses
Y Wang, C Scott
The Thirty Sixth Annual Conference on Learning Theory, 4929-4951, 2023
42023
Consistent interpolating ensembles via the manifold-hilbert kernel
Y Wang, C Scott
Advances in Neural Information Processing Systems 35, 3391-3402, 2022
32022
VC dimension of partially quantized neural networks in the overparametrized regime
Y Wang, C Scott
International Conference on Learning Representations 2022, 2022
32022
An exact solver for the Weston-Watkins SVM subproblem
Y Wang, C Scott
International Conference on Machine Learning, 10894-10904, 2021
32021
A gene filter for comparative analysis of single-cell RNA-sequencing trajectory datasets
Y Wang, T Thong, V Saligrama, J Colacino, L Balzano, C Scott
bioRxiv, 637488, 2019
22019
Correct convergence of min-sum loopy belief propagation in a block interpolation problem
Y Wang, MG Reyes, DL Neuhoff
arXiv preprint arXiv:1702.06391, 2017
22017
Near-Interpolators: Rapid Norm Growth and the Trade-Off between Interpolation and Generalization
Y Wang, R Sonthalia, W Hu
International Conference on Artificial Intelligence and Statistics, 4483-4491, 2024
12024
Neural Collapse in Multi-label Learning with Pick-all-label Loss
P Li, Y Wang, X Li, Q Qu
arXiv preprint arXiv:2310.15903, 2023
12023
Sim2Real in Reconstructive Spectroscopy: Deep Learning with Augmented Device-Informed Data Simulation
J Chen, P Li, Y Wang, PC Ku, Q Qu
arXiv preprint arXiv:2403.12354, 2024
2024
Unified Binary and Multiclass Margin-Based Classification
Y Wang, C Scott
arXiv preprint arXiv:2311.17778, 2023
2023
Classification via Multiple Hyperplanes: Loss functions, Overparametrization, and Interpolation
Y Wang
University of Michigan, 2022
2022
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Articles 1–15