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    • Quantization-Aware Diffusion Models For Maximum Likelihood Training

      Shohei Taniguchi, Masahiro Suzuki, Yutaka Matsuo

      International Conference on Learning Representations 2026 (ICLR2026), April 2026

    • One-shot Portrait Stylizaiton via Geometric Alignment

      Xinrui Wang, Zilin Guo, Zhuoru Li, Jinze Yu, Heng Zhang, Yusuke Iwasawa, Yutaka Matsuo, Jiaxian Guo

      Proceedings of The IEEE/CVF Winter Conference on Applications of Computer Vision 2026(WACV2026)

    • Pairwise Optimal Transports for Training All-to-All Flow-Based Condition Transfer Model

      Kotaro Ikeda, Masanori Koyama, Jinzhe Zhang, Kohei Hayashi, Kenji Fukumizu

      Advances in Neural Information Processing Systems 38 (NeurIPS 2025), December 2025.

    • Improving Reference Image Replication for Tuning-Free Personalized Image Generation

      大坂洋豊, 鈴木雅大, 松尾豊

      情報処理学会論文誌

    • Efficient Object-Centric Representation Learning using Masked Generative Modeling

      Akihiro Nakano, Masahiro Suzuki, Yutaka Matsuo

      Transactions on Machine Learning Research (TMLR), 2025

    • The Geometry of Phase Transitions in Diffusion Models: Tubular Neighbourhoods and Singularities

      Manato Yaguchi*, Kotaro Sakamoto*, Ryosuke Sakamoto*, Masato Tanabe*, Masatomo Akagawa*, Yusuke Hayashi*, Masahiro Suzuki, Yutaka Matsuo (*Equal Contribution)

      Transactions on Machine Learning Research (TMLR), 2025

    • Image Referenced Sketch Colorization Based on Animation Creation Workflow

      Dingkun Yan*, Xinrui Wang*, Zhuoru Li, Suguru Saito, Yusuke Iwasawa, Yutaka Matsuo, Jiaxian Guo

      Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2025)

    • End-to-end Training of Deep Boltzmann Machines by Unbiased Contrastive Divergence with Local Mode Initialization

      Shohei Taniguchi, Masahiro Suzuki, Yusuke Iwasawa, Yutaka Matsuo

      International Conference on Machine Learning (ICML 2023) July 2023.

    • Interaction-Based Disentanglement of Entities for Object-Centric World Models

      Akihiro Nakano, Masahiro Suzuki, Yutaka Matsuo.

      “InteractioInternational Conference on Learning Representations (ICLR2023)

    • Langevin Autoencoders for Learning Deep Latent Variable Models

      Shohei Taniguchi, Yusuke Iwasawa, Wataru Kumagai, Yutaka Matsuo

      Advances in Neural Information Processing Systems 35 (NeurIPS 2022).