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2020 – today
- 2025
[i3]Alec S. Xu, Can Yaras, Peng Wang, Qing Qu:
Understanding How Nonlinear Layers Create Linearly Separable Features for Low-Dimensional Data. CoRR abs/2501.02364 (2025)- [i2]Soo Min Kwon, Alec S. Xu, Can Yaras, Laura Balzano, Qing Qu:
Out-of-Distribution Generalization of In-Context Learning: A Low-Dimensional Subspace Perspective. CoRR abs/2505.14808 (2025) - [i1]Can Yaras, Alec S. Xu, Pierre Abillama, Changwoo Lee, Laura Balzano:
MonarchAttention: Zero-Shot Conversion to Fast, Hardware-Aware Structured Attention. CoRR abs/2505.18698 (2025) - 2024
- [c4]Alec S. Xu, Nina I. Shamsi
, Lars A. Gjesteby, Laura J. Brattain:
Self-Supervised Edge Detection Reconstruction for Topology-Informed 3D Axon Segmentation and Centerline Detection. WACV 2024: 7816-7824 - [c3]Nina I. Shamsi, Alec S. Xu, Lars A. Gjesteby, Laura J. Brattain:
Improved Topological Preservation in 3D Axon Segmentation and Centerline Detection using Geometric Assessment-driven Topological Smoothing (GATS). WACV 2024: 7990-7999 - 2023
- [c2]Lars A. Gjesteby, Ellie Haber, Shoyo Hakozaki, Alec S. Xu, Nancy DeLosa, Benjamin W. Roop, Joshua Werblin, Brian A. Telfer, Laura J. Brattain:
Optimizing MobileNet Algorithms for Real-time Vessel Detection on Smartphones. BSN 2023: 1-4 - [c1]Alec S. Xu, Laura Balzano, Jeffrey A. Fessler:
HeMPPCAT: Mixtures of Probabilistic Principal Component analysers for data with heteroscedastic noise. ICASSP 2023: 1-5
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