Can Yaras - RankMe

15 papers A* 2Journal 12Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Emergent Low-Rank Training Dynamics in MLPs with Smooth Activations. CoRR Alec S. Xu, Can Yaras, Matthew Asato, Qing Qu, Laura Balzano
2025	J	`jnl`	An Overview of Low-Rank Structures in the Training and Adaptation of Large Models. CoRR Laura Balzano, Tianjiao Ding, Benjamin D. Haeffele, Soo Min Kwon, Qing Qu, Peng Wang, Zhangyang Wang, Can Yaras
2025	—	`conf`	Explaining and Mitigating the Modality Gap in Contrastive Multimodal Learning. CPAL Can Yaras, Siyi Chen, Peng Wang, Qing Qu
2025	J	`jnl`	MonarchAttention: Zero-Shot Conversion to Fast, Hardware-Aware Structured Attention. CoRR Can Yaras, Alec S. Xu, Pierre Abillama, Changwoo Lee, Laura Balzano
2025	J	`jnl`	Out-of-Distribution Generalization of In-Context Learning: A Low-Dimensional Subspace Perspective. CoRR Soo Min Kwon, Alec S. Xu, Can Yaras, Laura Balzano, Qing Qu
2025	J	`jnl`	Understanding Deep Representation Learning via Layerwise Feature Compression and Discrimination. J. Mach. Learn. Res. Peng Wang, Xiao Li, Can Yaras, Zhihui Zhu, Laura Balzano, Wei Hu, Qing Qu
2025	J	`jnl`	Understanding How Nonlinear Layers Create Linearly Separable Features for Low-Dimensional Data. CoRR Alec S. Xu, Can Yaras, Peng Wang, Qing Qu
2024	A*	`conf`	Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation. ICML Can Yaras, Peng Wang, Laura Balzano, Qing Qu
2024	J	`jnl`	Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation. CoRR Can Yaras, Peng Wang, Laura Balzano, Qing Qu
2024	J	`jnl`	Explaining and Mitigating the Modality Gap in Contrastive Multimodal Learning. CoRR Can Yaras, Siyi Chen, Peng Wang, Qing Qu
2024	J	`jnl`	Randomized Histogram Matching: A Simple Augmentation for Unsupervised Domain Adaptation in Overhead Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Can Yaras, Kaleb Kassaw, Bohao Huang, Kyle Bradbury, Jordan M. Malof
2023	J	`jnl`	The Law of Parsimony in Gradient Descent for Learning Deep Linear Networks. CoRR Can Yaras, Peng Wang, Wei Hu, Zhihui Zhu, Laura Balzano, Qing Qu
2023	J	`jnl`	Understanding Deep Representation Learning via Layerwise Feature Compression and Discrimination. CoRR Peng Wang, Xiao Li, Can Yaras, Zhihui Zhu, Laura Balzano, Wei Hu, Qing Qu
2022	A*	`conf`	Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold. NeurIPS Can Yaras, Peng Wang, Zhihui Zhu, Laura Balzano, Qing Qu
2022	J	`jnl`	Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold. CoRR Can Yaras, Peng Wang, Zhihui Zhu, Laura Balzano, Qing Qu