(q, t)-KZ equations for quantum toroidal algebra and Nekrasov partition functions on ALE spaces von Awata, Hidetoshi, Kanno, Hiroaki, Mironov, Andrei, Morozov, Alexei, Suetake, Kazuma, Zenkevich, Yegor

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The MacMahon R-matrix von Awata, Hidetoshi, Kanno, Hiroaki, Mironov, Andrei, Morozov, Alexei, Suetake, Kazuma, Zenkevich, Yegor

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S3NN: Time step reduction of spiking surrogate gradients for training energy efficient single-step spiking neural networks von Suetake, Kazuma, Ikegawa, Shin-ichi, Saiin, Ryuji, Sawada, Yoshihide

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Applied Mathematics to Advance the Integration of Neural Networks in Mobility von Suetake, Kazuma

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S 3 NN: Time step reduction of spiking surrogate gradients for training energy efficient single-step spiking neural networks von Suetake, Kazuma, Ikegawa, Shin-Ichi, Saiin, Ryuji, Sawada, Yoshihide

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Improvement of Mini-Batch Size Dependency in Deep Learning for Reduction of Required Machine Resources von SAIIN, Ryuji, SUETAKE, Kazuma

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Magic for the Age of Quantized DNNs von Sawada, Yoshihide, Saiin, Ryuji, Suetake, Kazuma

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Convergences for Minimax Optimization Problems over Infinite-Dimensional Spaces Towards Stability in Adversarial Training von Furuya, Takashi, Okuda, Satoshi, Suetake, Kazuma, Sawada, Yoshihide

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Spiking Synaptic Penalty: Appropriate Penalty Term for Energy-Efficient Spiking Neural Networks von Suetake, Kazuma, Ushimaru, Takuya, Saiin, Ryuji, Sawada, Yoshihide

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Theoretical Error Analysis of Entropy Approximation for Gaussian Mixture von Furuya, Takashi, Kusumoto, Hiroyuki, Taniguchi, Koichi, Kanno, Naoya, Suetake, Kazuma

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S$^3$NN: Time Step Reduction of Spiking Surrogate Gradients for Training Energy Efficient Single-Step Spiking Neural Networks von Suetake, Kazuma, Ikegawa, Shin-ichi, Saiin, Ryuji, Sawada, Yoshihide

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Magic for the Age of Quantized DNNs von Sawada, Yoshihide, Saiin, Ryuji, Suetake, Kazuma

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Theoretical Error Analysis of Entropy Approximation for Gaussian Mixture von Furuya, Takashi, Kusumoto, Hiroyuki, Taniguchi, Koichi, Kanno, Naoya, Suetake, Kazuma

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Convergences for Minimax Optimization Problems over Infinite-Dimensional Spaces Towards Stability in Adversarial Training von Furuya, Takashi, Okuda, Satoshi, Suetake, Kazuma, Sawada, Yoshihide

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Spectral Pruning for Recurrent Neural Networks von Furuya, Takashi, Suetake, Kazuma, Taniguchi, Koichi, Kusumoto, Hiroyuki, Saiin, Ryuji, Daimon, Tomohiro

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モビリティへのニューラルネットワーク搭載を拓く応用数理 von 末武, 一馬

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Spiking Synaptic Penalty: Appropriate Penalty Term for Energy-Efficient Spiking Neural Networks von Suetake, Kazuma, Ushimaru, Takuya, Saiin, Ryuji, Sawada, Yoshihide

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S\(^3\)NN: Time Step Reduction of Spiking Surrogate Gradients for Training Energy Efficient Single-Step Spiking Neural Networks von Suetake, Kazuma, Ikegawa, Shin-ichi, Saiin, Ryuji, Sawada, Yoshihide

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深層学習におけるミニバッチサイズ依存性の改善による要求マシンリソース削減 von 齊院, 龍二, 末武, 一馬

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Spectral Pruning for Recurrent Neural Networks von Furuya, Takashi, Suetake, Kazuma, Taniguchi, Koichi, Kusumoto, Hiroyuki, Saiin, Ryuji, Daimon, Tomohiro

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