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Hung-Hsu Chou
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2020 – today
- 2026
[i11]Wei Wei, Yizhou Zeng, Kuntian Chen, Sophie Langer, Mariia Seleznova, Hung-Hsu Chou:
Latent Structure Emergence in Diffusion Models via Confidence-Based Filtering. CoRR abs/2602.06155 (2026)- 2025
[c2]Hung-Hsu Chou, Johannes Maly, Claudio Mayrink Verdun, Bernardo Freitas Paulo da Costa, Heudson Mirandola:
Get rid of your constraints and reparametrize: A study in NNLS and implicit bias. AISTATS 2025: 829-837
[i10]Mariia Seleznova
, Hung-Hsu Chou, Claudio Mayrink Verdun, Gitta Kutyniok:
GradPCA: Leveraging NTK Alignment for Reliable Out-of-Distribution Detection. CoRR abs/2505.16017 (2025)
[i9]Vít Fojtík, Maria Matveev, Hung-Hsu Chou, Gitta Kutyniok, Johannes Maly:
Conflicting Biases at the Edge of Stability: Norm versus Sharpness Regularization. CoRR abs/2505.21423 (2025)
[i8]Edem Boahen, Simone Brugiapaglia, Hung-Hsu Chou, Mark A. Iwen, Felix Krahmer:
Fast One-Pass Sparse Approximation of the Top Eigenvectors of Huge Low-Rank Matrices? Yes, MAM*! CoRR abs/2507.17036 (2025)- 2023
[c1]Mariia Seleznova, Dana Weitzner, Raja Giryes, Gitta Kutyniok, Hung-Hsu Chou:
Neural (Tangent Kernel) Collapse. NeurIPS 2023
[i7]Hung-Hsu Chou, Holger Rauhut, Rachel A. Ward:
Robust Implicit Regularization via Weight Normalization. CoRR abs/2305.05448 (2023)
[i6]Mariia Seleznova
, Dana Weitzner, Raja Giryes, Gitta Kutyniok, Hung-Hsu Chou:
Neural (Tangent Kernel) Collapse. CoRR abs/2305.16427 (2023)
[i5]Hung-Hsu Chou, Johannes Maly, Dominik Stöger:
How to induce regularization in generalized linear models: A guide to reparametrizing gradient flow. CoRR abs/2308.04921 (2023)- 2022
[j2]Yuege Xie, Hung-Hsu Chou
, Holger Rauhut
, Rachel A. Ward
:
Overparameterization and Generalization Error: Weighted Trigonometric Interpolation. SIAM J. Math. Data Sci. 4(2): 885-908 (2022)
[i4]Hung-Hsu Chou, Johannes Maly, Claudio Mayrink Verdun:
Non-negative Least Squares via Overparametrization. CoRR abs/2207.08437 (2022)- 2021
[i3]Hung-Hsu Chou, Johannes Maly, Holger Rauhut:
More is Less: Inducing Sparsity via Overparameterization. CoRR abs/2112.11027 (2021)- 2020
[j1]Russel Caflisch, Hung-Hsu Chou
, Jonathan W. Siegel:
Accuracy, Efficiency and Optimization of Signal Fragmentation. Multiscale Model. Simul. 18(2): 737-757 (2020)
[i2]Yuege Xie, Rachel A. Ward, Holger Rauhut, Hung-Hsu Chou:
Weighted Optimization: better generalization by smoother interpolation. CoRR abs/2006.08495 (2020)
[i1]Hung-Hsu Chou, Carsten Gieshoff, Johannes Maly, Holger Rauhut:
Gradient Descent for Deep Matrix Factorization: Dynamics and Implicit Bias towards Low Rank. CoRR abs/2011.13772 (2020)
Coauthor Index

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