Denny Wu
Denny Wu
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Cited by
Cited by
High-throughput imaging flow cytometry by optofluidic time-stretch microscopy
C Lei, H Kobayashi, D Wu, M Li, A Isozaki, A Yasumoto, H Mikami, T Ito, ...
Nature protocols 13 (7), 1603-1631, 2018
Label-free detection of cellular drug responses by high-throughput bright-field imaging and machine learning
H Kobayashi, C Lei, D Wu, A Mao, Y Jiang, B Guo, Y Ozeki, K Goda
Scientific reports 7 (1), 1-9, 2017
Stochastic runge-kutta accelerates langevin monte carlo and beyond
X Li, D Wu, L Mackey, MA Erdogdu
Advances in Neural Information Processing Systems, 7748-7760, 2019
Generalization of two-layer neural networks: an asymptotic viewpoint
J Ba, MA Erdogdu, T Suzuki, D Wu, T Zhang
International Conference on Learning Representations 8, 2020
Optofluidic time-stretch quantitative phase microscopy
B Guo, C Lei, D Wu, H Kobayashi, T Ito, Y Yalikun, S Lee, A Isozaki, M Li, ...
Methods 136, 116-125, 2018
GHz optical time-stretch microscopy by compressive sensing
C Lei, D Wu, AC Sankaranarayanan, SM Chang, B Guo, N Sasaki, ...
IEEE Photonics Journal 9 (2), 1-8, 2017
Intelligent whole-blood imaging flow cytometry for simple, rapid, and cost-effective drug-susceptibility testing of leukemia
H Kobayashi, C Lei, D Wu, CJ Huang, A Yasumoto, M Jona, W Li, Y Wu, ...
Lab on a Chip 19 (16), 2688-2698, 2019
On the Optimal Weighted Regularization in Overparameterized Linear Regression
D Wu, J Xu
Advances in Neural Information Processing Systems 33, 10112-10123, 2020
Post selection inference with incomplete maximum mean discrepancy estimator
M Yamada, D Wu, YHH Tsai, I Takeuchi, R Salakhutdinov, K Fukumizu
International Conference on Learning Representations 7, 2019
Light scattering analysis of mono-and multi-pegylated bovine serum albumin in solution: Role of composition on structure and interactions
R Ferebee, IF Hakem, A Koch, M Chen, D Wu, D Loh, DC Wilson, ...
The Journal of Physical Chemistry B 120 (20), 4591-4599, 2016
When does preconditioning help or hurt generalization?
S Amari, J Ba, R Grosse, X Li, A Nitanda, T Suzuki, D Wu, J Xu
International Conference on Learning Representations 9, 2021
Towards characterizing the high-dimensional bias of kernel-based particle inference algorithms
J Ba, MA Erdogdu, M Ghassemi, T Suzuki, S Sun, D Wu, T Zhang
Symposium on Advances in Approximate Bayesian Inference 2, 2019
Particle dual averaging: optimization of mean field neural networks with global convergence rate analysis
A Nitanda, D Wu, T Suzuki
arXiv preprint arXiv:2012.15477, 2020
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Articles 1–13