activity
20222026
most citedAn algebraic theory to discriminate qualia in the brain

2 citations · 3 across the 20 of their papers we have counts for

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Showing 2025Show all

7 papers · 1 filter

q-bio.NC2025

Avoiding Epiphenomenalism in Theories of Consciousness: A Causal Framework Based on Asymmetry

Yoshiyuki Ohmura, Yasuo Kuniyoshi

Why do some physical systems possess consciousness, while others do not? A scientific theory of consciousness must explain differences in system behavior in terms of well-defined i…

cs.RO2025

Imitation Learning for Active Neck Motion Enabling Robot Manipulation beyond the Field of View

Koki Nakagawa, Yoshiyuki Ohmura, Yasuo Kuniyoshi

Most prior research in deep imitation learning has predominantly utilized fixed cameras for image input, which constrains task performance to the predefined field of view. However,…

cs.CV2025

Feature-Based Lie Group Transformer for Real-World Applications

Takayuki Komatsu, Yoshiyuki Ohmura, Kayato Nishitsunoi +1

The main goal of representation learning is to acquire meaningful representations from real-world sensory inputs without supervision. Representation learning explains some aspects…

cs.CV2025

Learning Conditionally Independent Transformations using Normal Subgroups in Group Theory

Kayato Nishitsunoi, Yoshiyuki Ohmura, Takayuki Komatsu +1

Humans develop certain cognitive abilities to recognize objects and their transformations without explicit supervision, highlighting the importance of unsupervised representation l…

q-bio.NC2025

Emotional Responses to Auditory Hierarchical Structures is Shaped by Bodily Sensations and Listeners' Sensory Traits

Maiko Minatoya, Tatsuya Daikoku, Yasuo Kuniyoshi

Emotional responses to auditory stimuli are a common part of everyday life. However, for some individuals, these responses can be distressing enough to interfere with daily functio…

cs.RO2025

Gaze-Guided Task Decomposition for Imitation Learning in Robotic Manipulation

Ryo Takizawa, Yoshiyuki Ohmura, Yasuo Kuniyoshi

In imitation learning for robotic manipulation, decomposing object manipulation tasks into sub-tasks enables the reuse of learned skills and the combination of learned behaviors to…

cs.LG2025

Unsupervised categorization of similarity measures

Yoshiyuki Ohmura, Wataru Shimaya, Yasuo Kuniyoshi

In general, objects can be distinguished on the basis of their features, such as color or shape. In particular, it is assumed that similarity judgments about such features can be p…