1.7k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Kyoto UniversityJP15 papers
- RIKEN Center for Advanced Intelligence ProjectJP6 papers
- National Institute of Information and Communications TechnologyJP4 papers
- Okinawa Institute of Science and Technology Graduate UniversityJP4 papers
- RIKENJP4 papers
- The University of TokyoJP4 papers
- Hitachi (Japan)JP3 papers
- Niigata UniversityJP3 papers
- University College LondonGB3 papers
- Xi'an Jiaotong UniversityCN3 papers
- Gatsby Computational Neuroscience UnitGB2 papers
- Kyoto College of Graduate Studies for InformaticsJP2 papers
8 papers · 1 filter
One pixel attack for fooling deep neural networks
Jiawei Su, Danilo Vasconcellos Vargas, Sakurai Kouichi
Recent research has revealed that the output of Deep Neural Networks (DNN) can be easily altered by adding relatively small perturbations to the input vector. In this paper, we ana…
Resting-state functional connectivity-based biomarkers and functional MRI-based neurofeedback for psychiatric disorders: a challenge for developing theranostic biomarkers
Takashi Yamada, Ryu-ichiro Hashimoto, Noriaki Yahata +6
Psychiatric research has been hampered by an explanatory gap between psychiatric symptoms and their neural underpinnings, which has resulted in poor treatment outcomes. This situat…
A neural marker of obsessive-compulsive disorder from whole-brain functional connectivity
Yu Takagi, Yuki Sakai, Giuseppe Lisi +8
Obsessive-compulsive disorder (OCD) is a common psychiatric disorder with a lifetime prevalence of 2-3 percent. Recently, brain activity in the resting state is gathering attention…
Intrinsic group behaviour: dependence of pedestrian dyad dynamics on principal social and personal features
Francesco Zanlungo, Zeynep Yucel, Drazen Brscic +2
Being determined by human social behaviour, pedestrian group dynamics depends on "intrinsic properties" of the group such as the purpose of the pedestrians, their personal relation…
Online Meta-learning by Parallel Algorithm Competition
Stefan Elfwing, Eiji Uchibe, Kenji Doya
The efficiency of reinforcement learning algorithms depends critically on a few meta-parameters that modulates the learning updates and the trade-off between exploration and exploi…
The effect of social roles on group behaviour
Francesco Zanlungo, Zeynep Yucel, Takayuki Kanda
In a recent series of papers, we proposed a mathematical model for the dynamics of a group of interacting pedestrians. The model is based on a non-Newtonian potential, that account…
Learning Discrete Representations via Information Maximizing Self-Augmented Training
Weihua Hu, Takeru Miyato, Seiya Tokui +2
Learning discrete representations of data is a central machine learning task because of the compactness of the representations and ease of interpretation. The task includes cluster…
Sigmoid-Weighted Linear Units for Neural Network Function Approximation in Reinforcement Learning
Stefan Elfwing, Eiji Uchibe, Kenji Doya
In recent years, neural networks have enjoyed a renaissance as function approximators in reinforcement learning. Two decades after Tesauro's TD-Gammon achieved near top-level human…