16 citations · 69 across the 33 of their papers we have counts for
4 papers · 1 filter
Fully Spiking Denoising Diffusion Implicit Models
Ryo Watanabe, Yusuke Mukuta, Tatsuya Harada
Spiking neural networks (SNNs) have garnered considerable attention owing to their ability to run on neuromorphic devices with super-high speeds and remarkable energy efficiencies.…
HiPerformer: Hierarchically Permutation-Equivariant Transformer for Time Series Forecasting
Ryo Umagami, Yu Ono, Yusuke Mukuta +1
It is imperative to discern the relationships between multiple time series for accurate forecasting. In particular, for stock prices, components are often divided into groups with…
Domain Adaptive Multiple Instance Learning for Instance-level Prediction of Pathological Images
Shusuke Takahama, Yusuke Kurose, Yusuke Mukuta +7
Pathological image analysis is an important process for detecting abnormalities such as cancer from cell images. However, since the image size is generally very large, the cost of…
Self-Supervised Learning for Group Equivariant Neural Networks
Yusuke Mukuta, Tatsuya Harada
This paper proposes a method to construct pretext tasks for self-supervised learning on group equivariant neural networks. Group equivariant neural networks are the models whose st…