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Saiin, Ryuji
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1

S3NN: Time step reduction of spiking surrogate gradients fo..:

Suetake, Kazuma ; Ikegawa, Shin-ichi ; Saiin, Ryuji.
Neural Networks.  159 (2023)  - p. 208-219 , 2023
Link: https://doi.org/10.1016/..
 
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2

Rethinking the Role of Normalization and Residual Blocks fo..:

Ikegawa, Shin-ichi ; Saiin, Ryuji ; Sawada, Yoshihide.
Sensors.  22 (2022)  8 - p. 2876 , 2022
Link: https://doi.org/10.3390/..
 
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3

The monotonicity method for the inverse crack scattering pr..:

Daimon, Tomohiro ; Furuya, Takashi ; Saiin, Ryuji
Inverse Problems in Science and Engineering.  28 (2020)  11 - p. 1570-1581 , 2020
Link: https://doi.org/10.1080/..
 
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4

Spike Accumulation Forwarding for Effective Training of Spi..:

Saiin, Ryuji ; Shirakawa, Tomoya ; Yoshihara, Sota..
http://arxiv.org/abs/2310.02772.  , 2023
Link: http://arxiv.org/abs/231..
 
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5

Spiking Synaptic Penalty: Appropriate Penalty Term for Ener..:

Suetake, Kazuma ; Ushimaru, Takuya ; Saiin, Ryuji.
http://arxiv.org/abs/2302.01500.  , 2023
Link: http://arxiv.org/abs/230..
 
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6

Rethinking the role of normalization and residual blocks fo..:

Ikegawa, Shin-ichi ; Saiin, Ryuji ; Sawada, Yoshihide.
http://arxiv.org/abs/2203.01544.  , 2022
Link: http://arxiv.org/abs/220..
 
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7

S$^3$NN: Time Step Reduction of Spiking Surrogate Gradients..:

Suetake, Kazuma ; Ikegawa, Shin-ichi ; Saiin, Ryuji.
http://arxiv.org/abs/2201.10879.  , 2022
Link: http://arxiv.org/abs/220..
 
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8

Spectral Pruning for Recurrent Neural Networks:

Furuya, Takashi ; Suetake, Kazuma ; Taniguchi, Koichi...
http://arxiv.org/abs/2105.10832.  , 2021
Link: http://arxiv.org/abs/210..
 
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9

The monotonicity method for the inverse crack scattering pr..:

Daimon, Tomohiro ; Furuya, Takashi ; Saiin, Ryuji
http://arxiv.org/abs/1904.03655.  , 2019
Link: http://arxiv.org/abs/190..
 
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10

Rethinking the Role of Normalization and Residual Blocks fo..:

Shin-ichi Ikegawa ; Ryuji Saiin ; Yoshihide Sawada.
Communications.  , 2022
Link: https://doi.org/10.3390/..
 
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11

Rethinking the Role of Normalization and Residual Blocks fo..:

Shin-ichi Ikegawa ; Ryuji Saiin ; Yoshihide Sawada.
https://www.mdpi.com/1424-8220/22/8/2876.  , 2022
Link: https://doi.org/10.3390/..
 
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