3 papers
cs.LG2026
MAME: Multidimensional Adaptive Metamer Exploration with Human Perceptual Feedback
Mina Kamao, Hayato Ono, Ayumu Yamashita +2
Alignment between human brain networks and artificial models has become an active research area in vision science and machine learning. A widely adopted approach is identifying "me…
q-bio.NC2024
BrainCodec: Neural fMRI codec for the decoding of cognitive brain states
Yuto Nishimura, Masataka Sawayama, Ayumu Yamashita +2
Recently, leveraging big data in deep learning has led to significant performance improvements, as confirmed in applications like mental state decoding using fMRI data. However, fM…
cs.CL2024
Stick to your Role! Stability of Personal Values Expressed in Large Language Models
Grgur KovaÄ, Rémy Portelas, Masataka Sawayama +2
The standard way to study Large Language Models (LLMs) with benchmarks or psychology questionnaires is to provide many different queries from similar minimal contexts (e.g. multipl…