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19932026
most citedSmooth PARAFAC Decomposition for Tensor Completion

296 citations

Showing 2019Show all

36 papers · 1 filter

cond-mat.mtrl-sci2019★ 6 cited

Active-learning-based efficient prediction of ab-initio atomic energy: a case study on a Fe random grain boundary model with millions of atoms

Tomoyuki Tamura, Masayuki Karasuyama

We have developed a method that can analyze large random grain boundary (GB) models with the accuracy of density functional theory (DFT) calculations using active learning. It is a…

cs.LG2019★ 27 cited

Learning-based estimation of dielectric properties and tissue density in head models for personalized radio-frequency dosimetry

Essam A. Rashed, Yinliang Diao, Akimasa Hirata

Radio-frequency dosimetry is an important process in human safety and for compliance of related products. Recently, computational human models generated from medical images have of…

eess.AS2019

Modeling of Rakugo Speech and Its Limitations: Toward Speech Synthesis That Entertains Audiences

Shuhei Kato, Yusuke Yasuda, Xin Wang +3

We have been investigating rakugo speech synthesis as a challenging example of speech synthesis that entertains audiences. Rakugo is a traditional Japanese form of verbal entertain…

cond-mat.str-el2019★ 2 cited

Magnetic anisotropy of chiral magnet Yb(NiCu)Al at high magnetic fields

D. Ito, T. Matsumura, S. Ohara

We have measured the magnetization of rare-earth chiral magnets Yb(NiCu)Al for =0 and 0.06 up to 14.5 T. Magnetization for the field direction $H \parall…

stat.ML2019★ 3 cited

Bayesian Experimental Design for Finding Reliable Level Set under Input Uncertainty

Shogo Iwazaki, Yu Inatsu, Ichiro Takeuchi

In the manufacturing industry, it is often necessary to repeat expensive operational testing of machine in order to identify the range of input conditions under which the machine o…

cs.IT2019★ 1 cited

Trainable Projected Gradient Detector for Sparsely Spread Code Division Multiple Access

Satoshi Takabe, Yuki Yamauchi, Tadashi Wadayama

Sparsely spread code division multiple access (SCDMA) is a promising non-orthogonal multiple access technique for future wireless communications. In this paper, we propose a novel…