Research
研究
研究業績
カテゴリー
研究領域
年
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BrainAnytime: Anatomy-Aware Cross-Modal Pretraining for Brain Image Analysis with Arbitrary Modality Availability
Guangqian Yang, Tong Ding, Wenlong Hou, Yue Xun, Ye Du, Qian Niu, Shujun Wang
Proceedings of the 29th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2026), Early Accept, October 2026
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PRA-PoE: Robust Multimodal Alzheimer’s Disease Classification under Arbitrary Modality Missingness
Guangqian Yang, Ye Du, Wenlong Hou, Qian Niu, Shujun Wang
Proceedings of the 29th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2026), Early Accept, October 2026
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Steering at the Source: Style Modulation Heads for Robust Persona Control
Steering at the Source Style Modulation Heads for Robust Persona Control
Proceedings of the 43rd International Conference on Machine Learning (ICML 2026), July 2026
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Emergent Analogical Reasoning in Transformers
Gouki Minegishi, Jingyuan Feng, Hiroki Furuta, Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo
Proceedings of the 43rd International Conference on Machine Learning (ICML 2026), Spotlight, July 2026
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Emergence of Exploration in Policy Gradient Reinforcement Learning via Retrying
Soichiro Nishimori, Paavo Parmas, Sotetsu Koyamada, Tadashi Kozuno, Toshinori Kitamura, Shin Ishii, Yutaka Matsuo
Proceedings of the 43rd International Conference on Machine Learning (ICML 2026), July 2026
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Discovering Scaling Exponents with Physics-Informed Müntz-Szász Networks
Gnankan Landry Regis N’guessan, Bum Jun Kim
Proceedings of the 43rd International Conference on Machine Learning (ICML 2026), July 2026
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Unlocking Noise-Resistant Vision: Key Architectural Secrets for Robust Models Against Gaussian Noise
Bum Jun Kim, Makoto Kawano, Yusuke Iwasawa, Yutaka Matsuo
Proceedings of the 43rd International Conference on Machine Learning (ICML 2026), July 2026
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Automated Refinement of Essay Scoring Rubrics for Language Models via Reflect-and-Revise
Keno Harada, Lui Yoshida, Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo
Proceedings of the 30th Conference on Computational Natural Language Learning (CoNLL 2026), July 2026
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Towards High- resolution and Disentangled Reference-based Sketch Colorization
Dingkun Yan*, Xinrui Wang*, Ru Wang*, Jinze Yu, Yusuke Iwasawa, Yutaka Matsuo, Jiaxian Guo (*Equal Contribution)
The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2026 (CVPR 2026), Highlight, June 2026
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Clustered Self-Assessment: A Simple yet Effective Method for Uncertainty Quantification in Large Language Models
Qi Cao, Takeshi Kojima, Andrew Gambardella, Helinyi Peng, Yutaka Matsuo, Yusuke Iwasawa
The 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026), Findings, July 2026