58 citations · 83 across the 8 of their papers we have counts for
8 papers
Magic for the Age of Quantized DNNs
Yoshihide Sawada, Ryuji Saiin, Kazuma Suetake
Recently, the number of parameters in DNNs has explosively increased, as exemplified by LLMs (Large Language Models), making inference on small-scale computers more difficult. Mode…
Convergences for Minimax Optimization Problems over Infinite-Dimensional Spaces Towards Stability in Adversarial Training
Takashi Furuya, Satoshi Okuda, Kazuma Suetake +1
Training neural networks that require adversarial optimization, such as generative adversarial networks (GANs) and unsupervised domain adaptations (UDAs), suffers from instability.…
Spiking Synaptic Penalty: Appropriate Penalty Term for Energy-Efficient Spiking Neural Networks
Kazuma Suetake, Takuya Ushimaru, Ryuji Saiin +1
Spiking neural networks (SNNs) are energy-efficient neural networks because of their spiking nature. However, as the spike firing rate of SNNs increases, the energy consumption doe…
Theoretical Error Analysis of Entropy Approximation for Gaussian Mixtures
Takashi Furuya, Hiroyuki Kusumoto, Koichi Taniguchi +2
Gaussian mixture distributions are commonly employed to represent general probability distributions. Despite the importance of using Gaussian mixtures for uncertainty estimation, t…
SNN: Time Step Reduction of Spiking Surrogate Gradients for Training Energy Efficient Single-Step Spiking Neural Networks
Kazuma Suetake, Shin-ichi Ikegawa, Ryuji Saiin +1
As the scales of neural networks increase, techniques that enable them to run with low computational cost and energy efficiency are required. From such demands, various efficient n…
Spectral Pruning for Recurrent Neural Networks
Takashi Furuya, Kazuma Suetake, Koichi Taniguchi +3
Recurrent neural networks (RNNs) are a class of neural networks used in sequential tasks. However, in general, RNNs have a large number of parameters and involve enormous computati…
The MacMahon R-matrix
H. Awata, H. Kanno, A. Mironov +3
We introduce an -matrix acting on the tensor product of MacMahon representations of Ding-Iohara-Miki (DIM) algebra . This -matri…
-KZ equations for quantum toroidal algebra and Nekrasov partition functions on ALE spaces
H. Awata, H. Kanno, A. Mironov +3
We describe the general strategy for lifting the Wess-Zumino-Witten model from the level of one-loop Kac-Moody to generic quantum toroidal algebras.…