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Denny C.-Y. Wu
Observed names:
Denny Wu,
Wu, Denny
Institutions:
Flatiron Health (United States),
Flatiron Institute,
New York University
Observed institutions:
National Yang Ming Chiao Tung University,
University of Toronto,
Vector Institute,
Flatiron Health (United States),
Flatiron Institute,
New York University,
Carnegie Mellon University
show all 7
ORCID:
0000-0002-8448-9610
Observed ORCID:
0000-0002-8448-9610
OpenAlex ID:
A5047033147
Generalization of Two-layer Neural Networks: An Asymptotic Viewpoint
2020
·
Jimmy Ba
, Murat A. Erdogdu
, et al.
·
International Conference on Learning Representations
·
33
Stochastic Runge-Kutta Accelerates Langevin Monte Carlo and Beyond
2019
·
Li, Xuechen
, Wu, Denny
, et al.
·
arXiv (Cornell University)
·
25
PDF
On the Optimal Weighted $\ell_2$ Regularization in Overparameterized Linear Regression
2020
·
Wu, Denny
, Xu, Ji
·
arXiv (Cornell University)
·
15
PDF
"Dependency Bottleneck" in Auto-encoding Architectures: an Empirical Study
2018
·
Wu, Denny
, Zhao, Yixiu
, et al.
·
arXiv (Cornell University)
·
12
PDF
High-dimensional Asymptotics of Feature Learning: How One Gradient Step Improves the Representation
2022
·
Ba, Jimmy
, Erdogdu, Murat A.
, et al.
·
arXiv (Cornell University)
·
11
PDF
When Does Preconditioning Help or Hurt Generalization?
2020
·
Amari, Shun-ichi
, Ba, Jimmy
, et al.
·
arXiv (Cornell University)
·
10
PDF
Particle dual averaging: optimization of mean field neural network with global convergence rate analysis*
2022
·
Atsushi Nitanda
, Denny Wu
, et al.
·
Journal of Statistical Mechanics Theory and Experiment
·
8
PDF
High-Dimensional Asymptotics of Feature Learning: How One Gradient Step Improves the Representation
2022
·
Jimmy Ba
, Murat Erdogdu
, et al.
·
neural information processing systems
·
6
Towards Characterizing the High-dimensional Bias of Kernel-based Particle Inference Algorithms
2019
·
Jimmy Ba
, Murat A. Erdogdu
, et al.
·
6
Post Selection Inference with Incomplete Maximum Mean Discrepancy Estimator
2018
·
Yamada, Makoto
, Wu, Denny
, et al.
·
arXiv (Cornell University)
·
6
PDF
Convex Analysis of the Mean Field Langevin Dynamics
2022
·
Nitanda, Atsushi
, Wu, Denny
, et al.
·
arXiv (Cornell University)
·
3
PDF
Speeding Up Functional Timing Analysis by Concise Formulation of Timed Characteristic Functions
2020
·
Denny C.-Y. Wu
, Aaron C.-W. Liang
, et al.
·
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
·
3
Skew-Aware Functional Timing Analysis Against Setup Violation for Post-Layout Validation
2018
·
Pin-Ru Jhao
, Denny C.-Y. Wu
, et al.
·
IEEE International Test Conference in Asia (ITC-Asia)
·
3
Accelerating functional timing analysis with encoding duplication removal and redundant state propagation
2017
·
Denny C.-Y. Wu
, Pin-Ru Jhao
, et al.
·
International Conference on Computer Aided Design
·
3
Particle Dual Averaging: Optimization of Mean Field Neural Networks with Global Convergence Rate Analysis
2020
·
Nitanda, Atsushi
, Wu, Denny
, et al.
·
arXiv (Cornell University)
·
2
PDF
Selecting the Best in GANs Family: a Post Selection Inference Framework
2018
·
Tsai, Yao-Hung Hubert
, Yamada, Makoto
, et al.
·
arXiv (Cornell University)
·
2
PDF
Nonlinear spiked covariance matrices and signal propagation in deep neural networks
2024
·
Wang, Zhichao
, Wu, Denny
, et al.
·
arXiv (Cornell University)
·
1
PDF
Pretrained Transformer Efficiently Learns Low-Dimensional Target Functions In-Context
2024
·
Kazusato Oko
, Yujin Song
, et al.
·
neural information processing systems
·
1
PDF
Learning in the Presence of Low-dimensional Structure: A Spiked Random Matrix Perspective
2023
·
Jimmy Ba
, Murat Erdogdu
, et al.
·
neural information processing systems
·
1
Gradient-Based Feature Learning under Structured Data
2023
·
Alireza Mousavi-Hosseini
, Denny Wu
, et al.
·
neural information processing systems
·
1
PDF
Modeling the Biological Pathology Continuum with HSIC-regularized Wasserstein Auto-encoders
2019
·
Wu, Denny
, Kobayashi, Hirofumi
, et al.
·
arXiv (Cornell University)
·
1
PDF
Sharp Capacity Scaling of Spectral Optimizers in Learning Associative Memory
2026
·
Kim, Juno
, Nichani, Eshaan
, et al.
·
arXiv (Cornell University)
PDF
Learning to Recall with Transformers Beyond Orthogonal Embeddings
2026
·
Vural, Nuri Mert
, Bietti, Alberto
, et al.
·
PubMed
Full-Batch Gradient Descent Outperforms One-Pass SGD: Sample Complexity Separation in Single-Index Learning
2026
·
Kovačević, Filip
, Ji, Hong Chang
, et al.
·
PubMed Central
PDF
Understanding the mechanisms of fast hyperparameter transfer
2026
·
Wu, Denny
·
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Works count:
40
Citation count:
153
H-index:
7
I10-index:
6
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