Research
研究
研究業績
カテゴリー
研究領域
年
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Topology of Reasoning: Understanding Large Reasoning Models through Reasoning Graph Properties
Gouki Minegishi, Hiroki Furuta, Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo
Advances in Neural Information Processing Systems (NeurIPS 2025)
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Efficient Object-Centric Representation Learning using Masked Generative Modeling
Akihiro Nakano, Masahiro Suzuki, Yutaka Matsuo
Transactions on Machine Learning Research (TMLR)
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CityNav: A Large-Scale Dataset for Real-World Aerial Navigation
Jungdae Lee*, Taiki Miyanishi*, Shuhei Kurita, Koya Sakamoto, Daichi Azuma, Yutaka Matsuo, Nakamasa Inoue (* denotes equally contributed)
International Conference on Computer Vision (ICCV 2025)
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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)
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Bridging Lottery Ticket and Grokking: Understanding Grokking from Inner Structure of Networks
Gouki Minegishi, Yusuke Iwasawa, Yutaka Matsuo
Transactions on Machine Learning Research (TMLR)
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ADOPT: Modified Adam Can Converge with Any β2 with the Optimal Rate
Shohei Taniguchi, Keno Harada, Gouki Minegishi, Yuta Oshima, Seong Cheol Jeong, Go Nagahara, Tomoshi Iiyama, Masahiro Suzuki, Yusuke Iwasawa, Yutaka Matsuo
Advances in Neural Information Processing Systems 37 (NeurIPS 2024)
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ガウス過程潜在変数モデルとニューラルネットワークの統合によるマルチエージェント記号創発と潜在表現学習
中村友昭, 鈴木雅大, 谷口彰, 谷口忠大
日本ロボット学会誌（レター）, (2024)
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HAWK-Net: Hierarchical Attention Weighted Top-K Network for Megapixel Image Classification
Hitoshi Nakanishi, Masahiro Suzuki, Yutaka Matsuo
IPSJ, (2023).
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Fixing the train-test objective discrepancy: Iterative Image Inpainting for Unsupervised Anomaly Detection
Hitoshi Nakanishi, Masahiro Suzuki, Yutaka Matuo.
J-Stage in August Vol.30, (2022).
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Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization
Yusuke Iwasawa, and Yutaka Matsuo.
Advances in Neural Information Processing Systems 2021 (NeurIPS2021, Spotlight). December 2021.