Ken Nakae

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All published works

Action	Title	Year	Authors
+ PDF Chat	The NanoZoomer Connectomics Pipeline for Tracer Injection Studies of the Marmoset Brain	2019	Alexander Woodward Rui Gong Hiroshi Abe Ken Nakae Junichi Hata Henrik Skibbe Yoko Yamaguchi Shin Ishii Hideyuki Okano Tetsuo Yamamori
+	MarmoNet: a pipeline for automated projection mapping of the common marmoset brain from whole-brain serial two-photon tomography	2019	Henrik Skibbe Akiya Watakabe Ken Nakae Carlos Enrique Gutierrez Hiromichi Tsukada Junichi Hata Takashi Kawase Rui Gong Alexander Woodward Kenji Doya
+	Optimization and Validation of Diffusion MRI-based Fiber Tracking with Neural Tracer Data as a Reference	2019	Carlos Enrique Gutierrez Henrik Skibbe Ken Nakae Hiromichi Tsukada Jean Liénard Akiya Watakabe Junichi Hata Marco Reisert Alexander Woodward Hideyuki Okano
+	Distributional Smoothing with Virtual Adversarial Training	2016	Takeru Miyato Shin‐ichi Maeda Masanori Koyama Ken Nakae Shin Ishii
+	Distributional Smoothing by Virtual Adversarial Examples	2015	Takeru Miyato Shin‐ichi Maeda Masanori Koyama Ken Nakae Shin Ishii
+	Deep learning of fMRI big data: a novel approach to subject-transfer decoding	2015	Sotetsu Koyamada Yumi Shikauchi Ken Nakae Masanori Koyama Shin Ishii
+ PDF Chat	Principal Sensitivity Analysis	2015	Sotetsu Koyamada Masanori Koyama Ken Nakae Shin Ishii
+	Distributional Smoothing with Virtual Adversarial Training	2015	Takeru Miyato Shin‐ichi Maeda Masanori Koyama Ken Nakae Shin Ishii
+ PDF Chat	Microscopic image restoration based on tensor factorization of rotated patches	2012	Masayuki Kouno Ken Nakae Shigeyuki Oba Shin Ishii

Common Coauthors

Coauthor	Papers Together
Shin Ishii	9
Masanori Koyama	5
Tetsuo Yamamori	3
Junichi Hata	3
Alexander Woodward	3
Henrik Skibbe	3
Shin‐ichi Maeda	3
Takeru Miyato	3
Hideyuki Okano	3
Hiromichi Tsukada	2
Yoko Yamaguchi	2
Akiya Watakabe	2
Sotetsu Koyamada	2
Carlos Enrique Gutierrez	2
Kenji Doya	2
Marco Reisert	1
Hiroshi Abe	1
Jean Liénard	1
Rui Gong	1
Yumi Shikauchi	1
Takashi Kawase	1
Shigeyuki Oba	1
Rui Gong	1
Masayuki Kouno	1
Noritaka Ichinohe	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	3
+	MarmoNet: a pipeline for automated projection mapping of the common marmoset brain from whole-brain serial two-photon tomography	2019	Henrik Skibbe Akiya Watakabe Ken Nakae Carlos Enrique Gutierrez Hiromichi Tsukada Junichi Hata Takashi Kawase Rui Gong Alexander Woodward Kenji Doya	2
+	Improving neural networks by preventing co-adaptation of feature detectors	2012	Geoffrey E. Hinton Nitish Srivastava Alex Krizhevsky Ilya Sutskever Ruslan Salakhutdinov	2
+	Towards Deep Neural Network Architectures Robust to Adversarial Examples	2014	Shixiang Gu Luca Rigazio	1
+ PDF Chat	Higher Order Orthogonal Iteration of Tensors (HOOI) and its Relation to PCA and GLRAM	2007	Bernard N. Sheehan Yousef Saad	1
+	Analysis of individual differences in multidimensional scaling via an n-way generalization of “Eckart-Young” decomposition	1970	J. Douglas Carroll Jih-Jie Chang	1
+ PDF Chat	A Multilinear Singular Value Decomposition	2000	Lieven De Lathauwer Bart De Moor Joos Vandewalle	1
+	Multiple Comparisons Using Rank Sums	1964	Olive Jean Dunn	1
+	On the Best Rank-1 and Rank-(<i>R</i><sub>1</sub> ,<i>R</i><sub>2</sub> ,. . .,<i>R<sub>N</sub></i>) Approximation of Higher-Order Tensors	2000	Lieven De Lathauwer Bart De Moor Joos Vandewalle	1
+	Algorithm 862	2006	Brett W. Bader Tamara G. Kolda	1
+	Use of Ranks in One-Criterion Variance Analysis	1952	William Kruskal W. Allen Wallis	1
+	Information Theory and an Extension of the Maximum Likelihood Principle	1998	H. Akaike	1
+	Scikit-learn: Machine Learning in Python	2012	Fabián Pedregosa Gaël Varoquaux Alexandre Gramfort Vincent Michel Bertrand Thirion Olivier Grisel Mathieu Blondel Peter Prettenhofer Ron J. Weiss Vincent Dubourg	1
+	Nonnegative Tucker Decomposition	2007	Yong‐Deok Kim Seungjin Choi	1
+	Foundations of the PARAFAC procedure: Models and conditions for an "explanatory" multi-model factor analysis	1970	Richard A. Harshman	1
+ PDF Chat	Eigenvalue computation in the 20th century	2000	Gene H. Golub H.A. van der Vorst	1
+	Learning with Pseudo-Ensembles	2014	Phil Bachman Ouais Alsharif Doina Precup	1
+	Spline Models for Observational Data.	1991	Hans‐Georg Müller Grace Wahba	1
+	How to Explain Individual Classification Decisions	2009	David Baehrens Timon Schroeter Stefan Harmeling Motoaki Kawanabe Katja Hansen Klaus‐Robert Müller	1
+ PDF Chat	Machine learning for neuroimaging with scikit-learn	2014	Alexandre Abraham Fabian Pedregosa Michael Eickenberg Philippe Gervais Andreas Mueller Jean Kossaifi Alexandre Gramfort Bertrand Thirion Gaël Varoquaux	1
+	TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems	2016	Martı́n Abadi Ashish Agarwal Paul Barham Eugene Brevdo Zhifeng Chen Craig Citro Gregory S. Corrado Andy Davis Jay B. Dean Matthieu Devin	1
+ PDF Chat	The CMA Evolution Strategy: A Tutorial	2005	Nikolaus Hansen	1
+	MATLAB Tensor Toolbox	2006	Tamara G. Kolda Brett W. Bader	1
+	Semi-Supervised Learning with Deep Generative Models	2014	Diederik P. Kingma Danilo Jimenez Rezende Shakir Mohamed Max Welling	1
+ PDF Chat	Gibbs‐ringing artifact removal based on local subvoxel‐shifts	2015	Elias Kellner Bibek Dhital Valerij G. Kiselev Marco Reisert	1
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	1
+ PDF Chat	Shot noise in mesoscopic conductors	2000	Ya. M. Blanter Μ. Büttiker	1
+	Structured Sparse Principal Component Analysis	2009	Rodolphe Jenatton Guillaume Obozinski Francis Bach	1
+	Noisy matrix decomposition via convex relaxation: Optimal rates in high dimensions	2012	Alekh Agarwal Sahand Negahban Martin J. Wainwright	1
+	Theano: new features and speed improvements	2012	Frédéric Bastien Pascal Lamblin Razvan Pascanu James Bergstra Ian J. Goodfellow Arnaud Bergeron Nicolas Bouchard David Warde-Farley Yoshua Bengio	1
+	Lateral Connections in Denoising Autoencoders Support Supervised Learning.	2015	Antti Rasmus Harri Valpola Tapani Raiko	1