◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Yutaka Matsuo

4 papers hereh-index 148.7k citations42 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author1

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.CV1
  • cs.RO1
same name
  • Yutaka Matsuo — 63 papers, h 13
  • Yutaka Matsuo — 9 papers, h 5
  • Yutaka Matsuo — 6 papers, h 4
  • Yutaka Matsuo — 5 papers, h 3
  • Yutaka Matsuo — 4 papers, h 2
  • Yutaka Matsuo — 3 papers, h 5

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

works on
multi-task learning 1regularization 1reinforcement learning 1robotics 1world models 1

From the 1 of 4 linked papers with an AI index.

collaborators

4 papers

cs.LG2026

Temporally Centered SIGReg Improves LeWorldModel Representations for Robot Policy Learning

Chang Liu, Fei Suo, Yanzhou Jin +4

The paper introduces a temporally centered version of the Sketched Isotropic Gaussian Regularizer (SIGReg) that regularizes residuals instead of latent marginals, improving stabili…

cs.CV2026

Realtime Data-Efficient Portrait Stylization Based On Geometric Alignment

Xinrui Wang, Zhuoru Li, Xiao Zhou +2

Portrait Stylization aims to imbue portrait photos with vivid artistic effects drawn from style examples. Despite the availability of enormous training datasets and large network w…

cs.LG2025

GenORM: Generalizable One-shot Rope Manipulation with Parameter-Aware Policy

So Kuroki, Jiaxian Guo, Tatsuya Matsushima +7

Due to the inherent uncertainty in their deformability during motion, previous methods in rope manipulation often require hundreds of real-world demonstrations to train a manipulat…

cs.RO2025

Collective Intelligence for 2D Push Manipulations with Mobile Robots

So Kuroki, Tatsuya Matsushima, Jumpei Arima +4

While natural systems often present collective intelligence that allows them to self-organize and adapt to changes, the equivalent is missing in most artificial systems. We explore…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.