Research

研究

  • Home
  • 研究業績
  • 機械学習一般
  • 研究業績

    カテゴリー

    研究領域

    • Residual Koopman Spectral Profiling for Predicting and Preventing Transformer Training Instability

      Bum Jun Kim, Shohei Taniguchi, Makoto Kawano, Yusuke Iwasawa, Yutaka Matsuo

      Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence (UAI 2026), August 2026

    • MMA:Benchmarking Multi-ModalLarge Language Models in Ambiguity Context

      Ru Wang*, Selena Song*, Yuquan Wang, Liang Ding, Mingming Gong, Yusuke Iwasawa, Yutaka Matsuo, Jiaxian Guo (*Equal Contribution)

      The Third Conference on Parsimony and Learning(CPAL 2026), March 2026

    • Beyond In-Distribution Success: Scaling Curves of CoT Granularity for Language Model Generalization

      Ru Wang, Wei Huang, Selena Song, Haoyu Zhang, Qian Niu, Yusuke Iwasawa, Yutaka Matsuo, Jiaxian Guo

      The Third Conference on Parsimony and Learning(CPAL 2026), March 2026

    • Discovery of liquid crystalline polymers with high thermal conductivity using machine learning

      Hayato Maeda, Stephen Wu, Rika Marui, Erina Yoshida, Kan Hatakeyama-Sato, Yuta Nabae, Shiori Nakagawa, Meguya Ryu, Ryohei Ishige, Yoh Noguchi

      npj Computational Materials, Vol. 11, Issue 1, July 2025

    • Portfolio optimization using deep learning with risk aversion utility function

      Kenji Kubo, Kei Nakagawa

      Finance Research Letters, Vol. 74, 106761, June 2025

    • Disappearance of Timestep Embedding: A Case Study on Neural ODE and Diffusion Models

      Bum Jun Kim, Yoshinobu Kawahara, Sang Woo Kim

      Transactions on Machine Learning Research (TMLR), 2025

    • Stepwise hard constraint-biased Physics-informed Neural Networks for accurate Magnetic Resonance Electrical Properties Tomography (MREPT)

      Ruian Qin, Junqi Yang, Zhongchao Zhou, Jose Gomez-Tames, Shaoying Huang, Wenwei Yu

      Proceedings of the International Society for Magnetic Resonance in Medicine Annual Meeting (ISMRM 2025), May 2025

    • Prediction and validation of parameters of multi-axis soil remediation equipment based on machine learning algorithms

      Zhipeng Wang, Yuhang Jiang, Yaonan Zhu, Feng Ma, Youzhao Wang, Chaoyue Zhao, Xu Li, Tong Zhu

      Particuology, Vol. 98, pp. 41-55, May 2025

    • Extended Short-and Long-Range Mesh Learning for Fast and Generalized Garment Simulation

      Aoran Liu, Kun Hu, Clinton Mo, Changyang Li, Zhiyong Wang

      Proceedings of the IEEE International Conference on Multimedia and Expo (ICME 2025), July 2025

    • Prediction and Calibration of Black Soil Modeling Parameters Based on Response Surface Methodology and Machine Learning Algorithms

      Zhipeng Wang, Feng Ma, Yaonan Zhu, Hongyan Wang, Tong Zhu, Youzhao Wang, Chaoyue Zhao, Jin Yu

      Particulate Science and Technology, Vol. 43, No. 4, pp. 534-545, April 2025