8 citations · 10 across the 4 of their papers we have counts for
4 papers
Correspondence of high-dimensional emotion structures elicited by video clips between humans and Multimodal LLMs
Haruka Asanuma, Naoko Koide-Majima, Ken Nakamura +3
Recent studies have revealed that human emotions exhibit a high-dimensional, complex structure. A full capturing of this complexity requires new approaches, as conventional models…
Voluntary control of semantic neural representations by imagery with conflicting visual stimulation
Ryohei Fukuma, Takufumi Yanagisawa, Shinji Nishimoto +10
Neural representations of visual perception are affected by mental imagery and attention. Although attention is known to modulate neural representations, it is unknown how imagery…
Quantum circuit-like learning: A fast and scalable classical machine-learning algorithm with similar performance to quantum circuit learning
Naoko Koide-Majima, Kei Majima
The application of near-term quantum devices to machine learning (ML) has attracted much attention. In one such attempt, Mitarai et al. (2018) proposed a framework to use a quantum…
Quantum-inspired canonical correlation analysis for exponentially large dimensional data
Naoko Koide-Majima, Kei Majima
Canonical correlation analysis (CCA) is a technique to find statistical dependencies between a pair of multivariate data. However, its application to high dimensional data is limit…