output
20062021
most citedClustering-friendly Representation Learning via Instance Discrimination and Feature Decorrelation

36 citations

5 papers

cs.LG2021★ 36 cited

Clustering-friendly Representation Learning via Instance Discrimination and Feature Decorrelation

Yaling Tao, Kentaro Takagi, Kouta Nakata

Clustering is one of the most fundamental tasks in machine learning. Recently, deep clustering has become a major trend in clustering techniques. Representation learning often play…

cs.LG2020

Dual-encoder Bidirectional Generative Adversarial Networks for Anomaly Detection

Teguh Budianto, Tomohiro Nakai, Kazunori Imoto +2

Generative adversarial networks (GANs) have shown promise for various problems including anomaly detection. When anomaly detection is performed using GAN models that learn only the…

cs.NI2017★ 1 cited

Secure Real-Time Monitoring and Management of Smart Distribution Grid using Shared Cellular Networks

Jimmy J. Nielsen, Hervé Ganem, Ljupco Jorguseski +9

The electricity production and distribution is facing two major changes. First, the production is shifting from classical energy sources such as coal and nuclear power towards rene…

cond-mat.str-el2015★ 20 cited

Electronic and magnetic properties of off-stoichiometric CoMnSi/MgO interfaces studied by x-ray magnetic circular dichroism

V. R. Singh, V. K. Verma, K. Ishigami +8

We have studied the electronic and magnetic states of Co and Mn atoms at the interface of the CoMnSi (CMS)/MgO (=0.69, 0.99, 1.15 and 1.29) magnetic tunnel junc…

cond-mat.str-el2006

The Effect of Side Traps on Ballistic Transistor in Kondo Regime

Tetsufumi Tanamoto, Ken Uchida, Shinobu Fujita

The effect of side-traps on conductance is calculated in the range of slave-boson mean field theory, especially when there are electrodes on both sides of the conductor. This corre…