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    • 国際会議
      コンピュータービジョン

      Towards High-resolution and Disentangled Reference-based Sketch Colorization

      Dingkun Yan, Xinrui Wang, Ru Wang, Zhuoru Li, Jinze Yu, Yusuke Iwasawa, Yutaka Matsuo, Jiaxian Guo.

      The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2026 (CVPR 2026).

    • 国際会議
      コンピュータービジョン

      CLIP-like Model as a Foundational Density Ratio Estimator

      [paper]

      Fumiya Uchiyama*, Rintaro Yanagi, Shohei Taniguchi, Shota Takashiro, Masahiro Suzuki, Hirokatsu Kataoka, Yusuke Iwasawa, Yutaka Matsuo.

      The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2026 (CVPR 2026).

    • 国際会議
      コンピュータービジョン

      MultiBanana: A Challenging Benchmark for Multi-Reference Text-to-Image Generation

      [paper]

      Yuta Oshima*, Daiki Miyake*, Kohsei Matsutani, Yusuke Iwasawa, Masahiro Suzuki, Yutaka Matsuo, Hiroki Furuta.

      The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2026 (CVPR 2026).

    • 国際会議
      ロボティクス

      M2oE: Modular Mixture of Experts for Multi-Morphology Reinforcement Learning of Modular Robots

      Chang Liu, Qinchao Xu, Satoshi Yagi, Satoshi Yamamori, Yaonan Zhu, Yusuke Iwasawa, Kazuya Yoshida, Jun Morimoto

      IEEE International Conference on Robotics & Automation (IEEE ICRA 2026).

    • 国際会議
      LLM / NLP

      Mechanism of Task-oriented Information Removal in In-context Learning

      [paper]

      Hakaze Cho, Haolin Yang, Gouki Minegishi, Naoya Inoue

      International Conference on Learning Representations 2026 (ICLR2026)

    • 国際会議
      LLM / NLP

      RL Squeezes, SFT Expands: A Comparative Study of Reasoning LLMs

      [paper]

      Kohsei Matsutani, Shota Takashiro, Gouki Minegishi, Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo

      International Conference on Learning Representations 2026 (ICLR2026)

    • 国際会議

      C-Voting: Confidence-Based Test-Time Voting without Explicit Energy Functions

      [paper]

      Kenji Kubo, Shunsuke Kamiya, Masanori Koyama, Kohei Hayashi, Yusuke Iwasawa, Yutaka Matsuo

      International Conference on Learning Representations 2026 (ICLR2026)

    • 国際会議
      LLM / NLP 強化学習

      Does “Do Differentiable Simulators Give Better Policy Gradients?” Give Better Policy Gradients?

      Ku Onoda, Paavo Parmas, Manato Yaguchi, Yutaka Matsuo

      International Conference on Learning Representations 2026 (ICLR2026)

    • 国際会議

      Quantization-Aware Diffusion Models For Maximum Likelihood Training

      Shohei Taniguchi, Masahiro Suzuki, Yutaka Matsuo

      International Conference on Learning Representations 2026 (ICLR2026)

    • 国際会議
      LLM / NLP 強化学習

      Self-Harmony: Learning to Harmonize Self-Supervision and Self-Play in Test-Time Reinforcement Learnin

      Ru Wang, Wei Huang, Qi Cao, Yusuke Iwasawa, Yutaka Matsuo, Jiaxian Guo

      International Conference on Learning Representations 2026 (ICLR2026)