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大学 × Machine Learning

名古屋大学

Machine Learning / 2022–2026 LIVE

掲載論文 17 本

論文一覧

17 本

このEditionのランキングに掲載している論文です。同じ大学の複数著者による共著は1本にまとめています。

ランキングの対象論文 17 本と一致しています。

2026年

  1. 2026 · ICLR

    ELLMob: Event-Driven Human Mobility Generation with Self-Aligned LLM Framework

    掲載ID: iclr:2026:829300b183943850930c3ce36fe04268

    Yusong Wang, Chuang Yang, Jiawei Wang, Xiaohang Xu, Jiayi Xu, Dongyuan Li, Chuan Xiao, Renhe Jiang

    Machine Learning

    東京科学大学 / 名古屋大学 / 東京大学

  2. 2026 · ICLR

    Probabilistic Kernel Function for Fast Angle Testing

    掲載ID: iclr:2026:d7df683136b06837c9822592c05a9c7c

    Kejing Lu, Chuan Xiao, Yoshiharu Ishikawa

    Machine Learning

    名古屋大学 / 山梨大学

  3. 2026 · ICLR

    Toward Principled Flexible Scaling for Self-Gated Neural Activation

    掲載ID: iclr:2026:f30e35a09ac622dec1c121a13dd809d4

    Sudong Cai, Shuyuan Zheng, Bingzhi Chen, Shuai Yuan, Chuan Xiao, Jianbin Qin, Bing WANG

    Machine Learning

    名古屋大学 / 大阪大学

  4. 2026 · ICML

    Approximate Nearest Neighbor Search for Modern AI: A Projection-Augmented Graph Approach

    掲載ID: openreview:zg6ywoiecu

    Kejing Lu, Zhenpeng Pan, Yoshiharu Ishikawa, Chuan Xiao, Jianbin Qin

    Machine Learning

    名古屋大学 / 大阪大学 / 山梨大学

  5. 2026 · ICML

    Modeling Long-Tail Relations in the Operating Room via In-Context Multimodal Learning

    掲載ID: openreview:gkr8ws8oxs

    Boqiang Xu, Wei Zhang, Ding Ma, Jian Liang, Zhenan Sun, Zhen Lei

    Machine Learning

    名古屋大学

  6. 2026 · ICML

    On Regret Bounds of Thompson Sampling for Bayesian Optimization

    掲載ID: openreview:yzob5onbco

    Shion Takeno, Shogo Iwazaki

    Machine Learning

    名古屋大学

  7. 2026 · ICML

    QEDBench: Quantifying the Alignment Gap in Automated Evaluation of University-Level Mathematical Proofs

    掲載ID: openreview:aol0rpdftq

    Santiago Gonzalez, Alireza Amiribavandpour, Peter Ye, Edward Zhang, Ruslans Aleksejevs, Todor Antić, Polina Baron, Sujeet Bhalerao, Shubhrajit Bhattacharya, Zachary Burton, John Byrne, Hyungjun Choi, Nujhat Ahmed Disha, Koppány I Encz, Yuchen Fang, Robert Joseph George, Ebrahim Ghorbani, Alan Goldfarb, Jing Guo, Meghal Gupta, Stefano Huber, Annika Kanckos, Minjung Kang, Hyun Jong Kim, Dino Lorenzini, Levi Lorenzo, Tianyi Mao, Giovanni Marzenta, Ariane Masuda, Lukas Mauth, Ana Mickovic, Andrés Miniguano-Trujillo, Antoine Moulin, Wenqi Ni, Tomos Parry, Kevin Ren, Hossein Roodbarani, Mathieu Rundström, Manjil Saikia, Detchat Samart, Rebecca Steiner, Connor Stewart, Dhara Thakkar, Jeffrey Tse, Vasiliki Velona, Yunhai Xiang, Sibel Yalçın, Jun Yan, Ji Zeng, Arman Cohan, Quanquan Liu

    Machine Learning

    名古屋大学

2025年

  1. 2025 · ICML

    Distributionally Robust Active Learning for Gaussian Process Regression

    掲載ID: pmlr:v267:takeno25a

    Shion Takeno, Yoshito Okura, Yu Inatsu, Aoyama Tatsuya, Tomonari Tanaka, Akahane Satoshi, Hiroyuki Hanada, Noriaki Hashimoto, Taro Murayama [大阪大学] [東京科学大学], Hanju Lee, Shinya Kojima, Ichiro Takeuchi

    Machine Learning

    東京科学大学 / 名古屋工業大学 / 名古屋大学 / 大阪大学

  2. 2025 · ICML

    Improved Regret Analysis in Gaussian Process Bandits: Optimality for Noiseless Reward, RKHS norm, and Non-Stationary Variance

    掲載ID: pmlr:v267:iwazaki25a

    Shogo Iwazaki, Shion Takeno

    Machine Learning

    名古屋大学

  3. 2025 · ICML

    Statistical Test for Feature Selection Pipelines by Selective Inference

    掲載ID: pmlr:v267:shiraishi25a

    Tomohiro Shiraishi, Tatsuya Matsukawa, Shuichi Nishino, Ichiro Takeuchi

    Machine Learning

    名古屋大学

  4. 2025 · NeurIPS

    Quantifying Statistical Significance of Deep Nearest Neighbor Anomaly Detection via Selective Inference

    掲載ID: neurips:2025:fcbaeb7ed988079c1db2f18597006b96

    Mizuki Niihori, Shuichi Nishino, Teruyuki Katsuoka, Tomohiro Shiraishi, Kouichi Taji, Ichiro Takeuchi

    Machine Learning

    名古屋大学

2024年

  1. 2024 · ICML

    Posterior Sampling-Based Bayesian Optimization with Tighter Bayesian Regret Bounds

    掲載ID: pmlr:v235:takeno24a

    Shion Takeno, Yu Inatsu, Masayuki Karasuyama, Ichiro Takeuchi

    Machine Learning

    名古屋工業大学 / 名古屋大学

  2. 2024 · ICML

    Probabilistic Routing for Graph-Based Approximate Nearest Neighbor Search

    掲載ID: pmlr:v235:lu24l

    Kejing Lu, Chuan Xiao, Yoshiharu Ishikawa

    Machine Learning

    名古屋大学 / 大阪大学

  3. 2024 · ICML

    Statistical Test for Attention Maps in Vision Transformers

    掲載ID: pmlr:v235:shiraishi24a

    Tomohiro Shiraishi, Daiki Miwa [東京科学大学] [名古屋工業大学], Teruyuki Katsuoka, Vo Nguyen Le Duy, Kouichi Taji, Ichiro Takeuchi

    Machine Learning

    東京科学大学 / 名古屋工業大学 / 名古屋大学

2023年

  1. 2023 · ICLR

    Valid P-Value for Deep Learning-driven Salient Region

    掲載ID: openreview:qihmopw4sf_

    Daiki Miwa, Vo Nguyen Le Duy, Ichiro Takeuchi

    Machine Learning

    名古屋工業大学 / 名古屋大学

  2. 2023 · NeurIPS

    Logarithmic-Regret Quantum Learning Algorithms for Zero-Sum Games

    掲載ID: neurips:2023:637df18481a6aa74238bd2cafff94cb9

    Minbo Gao, Zhengfeng Ji, Tongyang Li, Qisheng Wang

    Machine Learning

    名古屋大学

2022年

  1. 2022 · NeurIPS

    Quantifying Statistical Significance of Neural Network-based Image Segmentation by Selective Inference

    掲載ID: neurips:2022:cd706106802dbea2068efd7031c3b420

    Vo Nguyen Le Duy, Shogo Iwazaki, Ichiro Takeuchi

    Machine Learning

    名古屋工業大学 / 名古屋大学

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