Hung-Hsu Chou - RankMe

15 papers A* 1A 1Journal 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Latent Structure Emergence in Diffusion Models via Confidence-Based Filtering. CoRR Wei Wei, Yizhou Zeng, Kuntian Chen, Sophie Langer, Mariia Seleznova, Hung-Hsu Chou
2025	J	`jnl`	Conflicting Biases at the Edge of Stability: Norm versus Sharpness Regularization. CoRR Vít Fojtík, Maria Matveev, Hung-Hsu Chou, Gitta Kutyniok, Johannes Maly
2025	J	`jnl`	Fast One-Pass Sparse Approximation of the Top Eigenvectors of Huge Low-Rank Matrices? Yes, MAM CoRR Edem Boahen, Simone Brugiapaglia, Hung-Hsu Chou, Mark A. Iwen, Felix Krahmer
2025	A	`conf`	Get rid of your constraints and reparametrize: A study in NNLS and implicit bias. AISTATS Hung-Hsu Chou, Johannes Maly, Claudio Mayrink Verdun, Bernardo Freitas Paulo da Costa, Heudson Mirandola
2025	J	`jnl`	GradPCA: Leveraging NTK Alignment for Reliable Out-of-Distribution Detection. CoRR Mariia Seleznova, Hung-Hsu Chou, Claudio Mayrink Verdun, Gitta Kutyniok
2023	J	`jnl`	How to induce regularization in generalized linear models: A guide to reparametrizing gradient flow. CoRR Hung-Hsu Chou, Johannes Maly, Dominik Stöger
2023	A*	`conf`	Neural (Tangent Kernel) Collapse. NeurIPS Mariia Seleznova, Dana Weitzner, Raja Giryes, Gitta Kutyniok, Hung-Hsu Chou
2023	J	`jnl`	Neural (Tangent Kernel) Collapse. CoRR Mariia Seleznova, Dana Weitzner, Raja Giryes, Gitta Kutyniok, Hung-Hsu Chou
2023	J	`jnl`	Robust Implicit Regularization via Weight Normalization. CoRR Hung-Hsu Chou, Holger Rauhut, Rachel A. Ward
2022	J	`jnl`	Non-negative Least Squares via Overparametrization. CoRR Hung-Hsu Chou, Johannes Maly, Claudio Mayrink Verdun
2022	J	`jnl`	Overparameterization and Generalization Error: Weighted Trigonometric Interpolation. SIAM J. Math. Data Sci. Yuege Xie, Hung-Hsu Chou, Holger Rauhut, Rachel A. Ward
2021	J	`jnl`	More is Less: Inducing Sparsity via Overparameterization. CoRR Hung-Hsu Chou, Johannes Maly, Holger Rauhut
2020	J	`jnl`	Accuracy, Efficiency and Optimization of Signal Fragmentation. Multiscale Model. Simul. Russel Caflisch, Hung-Hsu Chou, Jonathan W. Siegel
2020	J	`jnl`	Gradient Descent for Deep Matrix Factorization: Dynamics and Implicit Bias towards Low Rank. CoRR Hung-Hsu Chou, Carsten Gieshoff, Johannes Maly, Holger Rauhut
2020	J	`jnl`	Weighted Optimization: better generalization by smoother interpolation. CoRR Yuege Xie, Rachel A. Ward, Holger Rauhut, Hung-Hsu Chou