| 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 | 51 | 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 | 42 | 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 | 24 | 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 | 19 | 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 | 19 | 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 | 19 | 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 | 12 | 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 | 9 | 2016 |
| 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 | 7* | 2019 |
| On the optimal weighted regularization in overparameterized linear regression D Wu, J Xu Advances in Neural Information Processing Systems 33, 2020 | 5 | 2020 |
| When does preconditioning help or hurt generalization? S Amari, J Ba, R Grosse, X Li, A Nitanda, T Suzuki, D Wu, J Xu arXiv preprint arXiv:2006.10732, 2020 | 1 | 2020 |
| 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 | | 2020 |
| 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 | | 2019 |
Murat A. ErdogduStanford UniversityVerified email at stanford.edu
