Group-theoretical construction of extended baryon operators in lattice QCD S Basak, RG Edwards, GT Fleming, UM Heller, C Morningstar, D Richards, ...
Physical Review D—Particles, Fields, Gravitation, and Cosmology 72 (9), 094506, 2005
191 2005 Apac: Augmented pattern classification with neural networks I Sato, H Nishimura, K Yokoi
arXiv preprint arXiv:1505.03229, 2015
175 2015 Lattice QCD determination of patterns of excited baryon states S Basak, RG Edwards, GT Fleming, KJ Juge, A Lichtl, C Morningstar, ...
Physical Review D—Particles, Fields, Gravitation, and Cosmology 76 (7), 074504, 2007
124 2007 Finite volume corrections to scattering PF Bedaque, I Sato, A Walker-Loud
Physical Review D—Particles, Fields, Gravitation, and Cosmology 73 (7), 074501, 2006
75 2006 Moving object recognition systems, moving object recognition programs, and moving object recognition methods I Sato, Y Tamatsu, K Goto
US Patent 9,824,586, 2017
68 2017 Method and system for obtaining improved structure of a target neural network Y Tamatsu, I Sato
US Patent App. 14/317,261, 2015
64 2015 Implicit neural representations for variable length human motion generation P Cervantes, Y Sekikawa, I Sato, K Shinoda
European Conference on Computer Vision, 356-372, 2022
51 2022 Fitting two nucleons inside a box: Exponentially suppressed corrections to Lüscher’s formula I Sato, PF Bedaque
Physical Review D—Particles, Fields, Gravitation, and Cosmology 76 (3), 034502, 2007
48 2007 Clebsch-Gordan construction of lattice interpolated fields for excited baryons S Basak, R Edwards, GT Fleming, UM Heller, C Morningstar, D Richards, ...
Physical Review D—Particles, Fields, Gravitation, and Cosmology 72 (7), 074501, 2005
40 2005 Predicting statistics of asynchronous SGD parameters for a large-scale distributed deep learning system on GPU supercomputers Y Oyama, A Nomura, I Sato, H Nishimura, Y Tamatsu, S Matsuoka
2016 IEEE International Conference on Big Data (Big Data), 66-75, 2016
31 2016 Crossing obstacle detection with a vehicle-mounted camera I Sato, C Yamano, H Yanagawa
2011 IEEE Intelligent Vehicles Symposium (IV), 60-65, 2011
19 2011 Generating easy-to-understand referring expressions for target identifications M Tanaka, T Itamochi, K Narioka, I Sato, Y Ushiku, T Harada
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
18 2019 Combining quark and link smearing to improve extended baryon operators A Lichtl, S Basak, R Edwards, GT Fleming, UM Heller, C Morningstar, ...
arXiv preprint hep-lat/0509179, 2005
16 2005 Detection device, detection program, detection method, vehicle equipped with detection device, parameter calculation device, parameter calculating parameters, parameter … Y Tamatsu, K Yokoi, I Sato
US Patent App. 14/722,397, 2015
14 2015 Adversarial transformations for semi-supervised learning T Suzuki, I Sato
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5916-5923, 2020
13 2020 Analysis of N⋆ spectra using matrices of correlation functions based on irreducible baryon operators S Basak, R Edwards, R Fiebig, GT Fleming, UM Heller, C Morningstar, ...
Nuclear Physics B-Proceedings Supplements 140, 278-280, 2005
13 2005 Combining quark and link smearing to improve extended baryon operators, PoS LAT2005 (2006) 076 S Basak, I Sato, S Wallace, R Edwards, D Richards, GT Fleming
arXiv preprint hep-lat/0509179 3 (1), 0
13 Feature space particle inference for neural network ensembles S Yashima, T Suzuki, K Ishikawa, I Sato, R Kawakami
International Conference on Machine Learning, 25452-25468, 2022
12 2022 Method and apparatus for detecting moving objects K Goto, I Sato
US Patent 9,852,334, 2017
12 2017 Discriminator, discrimination program, and discrimination method Y Tamatsu, I Sato
US Patent App. 14/540,295, 2015
12 2015