177 citations · 177 across the 5 of their papers we have counts for
5 papers
QC-GAN: A Parameter-Efficient Quaternion Conformer GAN for High-Fidelity Speech Enhancement
Shogo Yamauchi, Hideaki Tamori, Makoto Sakai +2
We propose a parameter-efficient speech enhancement framework, Quaternion Conformer GAN (QC-GAN), which combines a Quaternion Conformer generator with MetricGAN-based training. The…
Quaternion Self-Attention with Shared Scores
Shogo Yamauchi, Tohru Nitta, Hideaki Tamori
Quaternion neural networks are parameter-efficient and model multidimensional dependencies by representing four related features as a single entity. However, existing quaternion se…
Learning Characteristics of Reverse Quaternion Neural Network
Shogo Yamauchi, Tohru Nitta, Takaaki Ohnishi
The purpose of this paper is to propose a new multi-layer feedforward quaternion neural network model architecture, Reverse Quaternion Neural Network which utilizes the non-commuta…
Spurious Local Minima of Deep ReLU Neural Networks in the Neural Tangent Kernel Regime
Tohru Nitta
In this paper, we theoretically prove that the deep ReLU neural networks do not lie in spurious local minima in the loss landscape under the Neural Tangent Kernel (NTK) regime, tha…
Applications of Clifford's Geometric Algebra
Eckhard Hitzer, Tohru Nitta, Yasuaki Kuroe
We survey the development of Clifford's geometric algebra and some of its engineering applications during the last 15 years. Several recently developed applications and their merit…