137 citations
- Konan UniversityJP3 papers
- National Astronomical Observatory of JapanJP3 papers
- Tezukayama UniversityJP3 papers
- Advanced Telecommunications Research Institute InternationalJP2 papers
- Kavli Institute for the Physics and Mathematics of the UniverseJP2 papers
- Okayama Prefectural UniversityJP2 papers
- Research Organization of Information and SystemsJP2 papers
- Ritsumeikan UniversityJP2 papers
- The Institute of Statistical MathematicsJP2 papers
- The University of TokyoJP2 papers
- CYBO (Japan)JP1 paper
- Fukui University of TechnologyJP1 paper
19 papers
Public Evaluation on Potential Social Impacts of Fully Autonomous Cybernetic Avatars for Physical Support in Daily-Life Environments: Large-Scale Demonstration and Survey at Avatar Land
Lotfi El Hafi, Kazuma Onishi, Shoichi Hasegawa +18
Cybernetic avatars (CAs) are key components of an avatar-symbiotic society, enabling individuals to overcome physical limitations through virtual agents and robotic assistants. Whi…
Infrared bubble recognition in the Milky Way and beyond using deep learning
Shimpei Nishimoto, Toshikazu Onishi, Atsushi Nishimura +9
We propose a deep learning model that can detect Spitzer bubbles accurately using two-wavelength near-infrared data acquired by the Spitzer Space Telescope and JWST. The model is b…
From Creation to Curriculum: Examining the role of generative AI in Arts Universities
Atticus Sims
The age of Artificial Intelligence (AI) is marked by its transformative "generative" capabilities, distinguishing it from prior iterations. This burgeoning characteristic of AI has…
Deep-learning Real/Bogus classification for the Tomo-e Gozen transient survey
Ichiro Takahashi, Ryo Hamasaki, Naonori Ueda +5
We present a deep neural network Real/Bogus classifier that improves classification performance in the Tomo-e Gozen transient survey by handling label errors in the training data.…
Resting-state functional connectivity-based biomarkers and functional MRI-based neurofeedback for psychiatric disorders: a challenge for developing theranostic biomarkers
Takashi Yamada, Ryu-ichiro Hashimoto, Noriaki Yahata +6
Psychiatric research has been hampered by an explanatory gap between psychiatric symptoms and their neural underpinnings, which has resulted in poor treatment outcomes. This situat…
Soft-DTW: a Differentiable Loss Function for Time-Series
Marco Cuturi, Mathieu Blondel
We propose in this paper a differentiable learning loss between time series, building upon the celebrated dynamic time warping (DTW) discrepancy. Unlike the Euclidean distance, DTW…