Kazuma Suetake

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 10

Top Topics

Variational Inference

Optimization Problems

Top Venues

Trans. Mach. Learn. Res.

Neural Networks

Publications

Takashi Furuya, Satoshi Okuda, Kazuma Suetake, Yoshihide Sawada
Convergences for Minimax Optimization Problems over Infinite-Dimensional Spaces Towards Stability in Adversarial Training. Trans. Mach. Learn. Res. 2024 (2024)
Kazuma Suetake, Takuya Ushimaru, Ryuji Saiin, Yoshihide Sawada
Synaptic Interaction Penalty: Appropriate Penalty Term for Energy-Efficient Spiking Neural Networks. Trans. Mach. Learn. Res. 2024 (2024)
Yoshihide Sawada, Ryuji Saiin, Kazuma Suetake
Magic for the Age of Quantized DNNs. CoRR (2024)
Kazuma Suetake, Shin-ichi Ikegawa, Ryuji Saiin, Yoshihide Sawada
S3NN: Time step reduction of spiking surrogate gradients for training energy efficient single-step spiking neural networks. Neural Networks 159 (2023)
Kazuma Suetake, Takuya Ushimaru, Ryuji Saiin, Yoshihide Sawada
Spiking Synaptic Penalty: Appropriate Penalty Term for Energy-Efficient Spiking Neural Networks. CoRR (2023)
Takashi Furuya, Satoshi Okuda, Kazuma Suetake, Yoshihide Sawada
Convergences for Minimax Optimization Problems over Infinite-Dimensional Spaces Towards Stability in Adversarial Training. CoRR (2023)
Takashi Furuya, Hiroyuki Kusumoto, Koichi Taniguchi, Naoya Kanno, Kazuma Suetake
Variational Inference with Gaussian Mixture by Entropy Approximation. CoRR (2022)
Kazuma Suetake, Shin-ichi Ikegawa, Ryuji Saiin, Yoshihide Sawada
NN: Time Step Reduction of Spiking Surrogate Gradients for Training Energy Efficient Single-Step Neural Networks. CoRR (2022)
Takashi Furuya, Kazuma Suetake, Koichi Taniguchi, Hiroyuki Kusumoto, Ryuji Saiin, Tomohiro Daimon
Spectral Pruning for Recurrent Neural Networks. AISTATS (2022)
Takashi Furuya, Kazuma Suetake, Koichi Taniguchi, Hiroyuki Kusumoto, Ryuji Saiin, Tomohiro Daimon
Spectral Pruning for Recurrent Neural Networks. CoRR (2021)