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大学 × Machine Learning

大阪大学

Machine Learning / 2022–2026 LIVE

掲載論文 52 本

論文一覧

52 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 52 本と一致しています。

2026年

  1. 2026 · ICLR

    From Pixels to Semantics: Unified Facial Action Representation Learning for Micro-Expression Analysis

    掲載ID: iclr:2026:ac56fb3fab015124b541f6299016a21c

    Yicheng Deng, Hideaki Hayashi, Hajime Nagahara

    Machine Learning

    大阪大学

  2. 2026 · ICLR

    LaVCa: LLM-assisted Visual Cortex Captioning

    掲載ID: iclr:2026:b79264824578d43bab058ca920fab4a3

    Takuya Matsuyama, Shinji Nishimoto, Yu Takagi

    Machine Learning

    名古屋工業大学 / 大阪大学

  3. 2026 · ICLR

    Measure Twice, Cut Once: A Semantic-Oriented Approach to Video Temporal Localization with Video LLMs

    掲載ID: iclr:2026:cc00f5428c68244edde498d94b7a7ccb

    Zongshang Pang, Mayu Otani, Yuta Nakashima

    Machine Learning

    大阪大学

  4. 2026 · ICLR

    ODEBrain: Continuous-Time EEG Graph for Modeling Dynamic Brain Networks

    掲載ID: iclr:2026:aebec8058f23a445353c83ede0e1ec48

    Haohui Jia, Zheng Chen, Lingwei Zhu, Rikuto Kotoge, Jathurshan Pradeepkumar, Yasuko Matsubara, Jimeng Sun, Yasushi Sakurai, Takashi Matsubara

    Machine Learning

    北海道大学 / 大阪大学 / 東京大学

  5. 2026 · ICLR

    RCPU: Rotation-Constrained Error Compensation for Structured Pruning of Large Language Models

    掲載ID: iclr:2026:e2fb048a8e37ad978fc895528102ce49

    Shuichiro Haruta, Kazunori Matsumoto, Zhi Li, Yanan Wang, Mori Kurokawa

    Machine Learning

    大阪大学

  6. 2026 · ICLR

    Tokenizing Single-Channel EEG with Time-Frequency Motif Learning

    掲載ID: iclr:2026:3dc85735f6e2fcf093e67b134fa00d21

    Jathurshan Pradeepkumar, Xihao Piao, Zheng Chen, Jimeng Sun

    Machine Learning

    大阪大学

  7. 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

  8. 2026 · ICLR

    When to Retrain after Drift: A Data-Only Test of Post-Drift Data Size Sufficiency

    掲載ID: iclr:2026:d5ff2b092d81618a743c15cf38f8d134

    Ren Fujiwara, Yasuko Matsubara, Yasushi Sakurai

    Machine Learning

    大阪大学

  9. 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

  10. 2026 · ICML

    Finite and Corruption-Robust Regret Bounds in Online Inverse Linear Optimization under M-Convex Action Sets

    掲載ID: openreview:g7le4mukgq

    Taihei Oki [北海道大学] [大阪大学], Shinsaku Sakaue

    Machine Learning

    北海道大学 / 大阪大学

  11. 2026 · ICML

    Information-Theoretic Generalization Bounds for VAEs: A Role of Encoder and Latent Variable

    掲載ID: openreview:8vqmdcqeg6

    Futoshi Futami, Masahiro Fujisawa

    Machine Learning

    大阪大学

  12. 2026 · ICML

    Modeling Covariate Transition for Efficient Estimation of Longitudinal Treatment Effects in Randomized Experiments

    掲載ID: openreview:mlzltzepbr

    Naoki Chihara, Tatsushi Oka, Yasuko Matsubara, Yasushi Sakurai, Shota Yasui

    Machine Learning

    慶應義塾大学 / 大阪大学

  13. 2026 · ICML

    Multimodal Fusion via Self-Consistent Task-Gradient Fields

    掲載ID: openreview:kdjf0eyawi

    Jiayu Xiong, Jing Wang, Jun Xue, Wanlong Wang, Jianlong Kwan, Xiaosen Lyu, Zhouqiang Jiang

    Machine Learning

    大阪大学

2025年

  1. 2025 · ICLR

    Gaussian-Based Instance-Adaptive Intensity Modeling for Point-Supervised Facial Expression Spotting

    掲載ID: iclr:2025:90d8a49ce32f7600170a2116da8443e8

    Yicheng Deng, Hideaki Hayashi, Hajime Nagahara

    Machine Learning

    大阪大学

  2. 2025 · ICLR

    GeSubNet: Gene Interaction Inference for Disease Subtype Network Generation

    掲載ID: iclr:2025:a924b7178e5975dfed1de235f0b72973

    Ziwei Yang, Zheng Chen, XIN LIU, Rikuto Kotoge, Peng Chen, Yasuko Matsubara, Yasushi Sakurai, Jimeng Sun

    Machine Learning

    京都大学 / 大阪大学

  3. 2025 · ICLR

    Generation and Comprehension Hand-in-Hand: Vision-guided Expression Diffusion for Boosting Referring Expression Generation and Comprehension

    掲載ID: iclr:2025:b87d9d19ecb5927f7e18c537908610ef

    Jingcheng Ke, Jun-Cheng Chen, I-Hong Jhuo, Chia-Wen Lin, Yen-Yu Lin

    Machine Learning

    大阪大学

  4. 2025 · ICLR

    Modeling Complex System Dynamics with Flow Matching Across Time and Conditions

    掲載ID: iclr:2025:206b764b00195b8c896c5af8bde80726

    Martin Rohbeck, Edward De Brouwer, Charlotte Bunne, Jan-Christian Huetter, Anne Biton, Kelvin Chen, Aviv Regev, Romain Lopez

    Machine Learning

    大阪大学

  5. 2025 · ICLR

    Pedestrian Motion Reconstruction: A Large-scale Benchmark via Mixed Reality Rendering with Multiple Perspectives and Modalities

    掲載ID: iclr:2025:f3342358d0792ea201dc86d69570946b

    Yichen Wang, Yiyi Zhang, Xinhao Hu, Li Niu, Jianfu Zhang, Yasushi Makihara, Yasushi Yagi, Pai Peng, Wenlong Liao, Tao He, Junchi Yan, Liqing Zhang

    Machine Learning

    大阪大学

  6. 2025 · ICLR

    Poisson-Dirac Neural Networks for Modeling Coupled Dynamical Systems across Domains

    掲載ID: iclr:2025:3a5b75ce6cbd3aaaa32d6e935ffc4cff

    Razmik Khosrovian, Takaharu Yaguchi, Hiroaki Yoshimura, Takashi Matsubara

    Machine Learning

    北海道大学 / 神戸大学 / 大阪大学 / 早稲田大学

  7. 2025 · ICLR

    Rethinking the role of frames for SE(3)-invariant crystal structure modeling

    掲載ID: iclr:2025:187d94b3c93343f0e925b5cf729eadd5

    Yusei Ito, Tatsunori Taniai, Ryo Igarashi, Yoshitaka Ushiku, Kanta Ono

    Machine Learning

    大阪大学

  8. 2025 · ICLR

    Revolutionizing EMCCD Denoising through a Novel Physics-Based Learning Framework for Noise Modeling

    掲載ID: iclr:2025:0cd1eec0eeaf5ce1bf6d8875a7c1d095

    Haiyang Jiang, Tetsuichi Wazawa, Imari Sato, Takeharu Nagai, Yinqiang Zheng

    Machine Learning

    大阪大学 / 東京大学

  9. 2025 · ICLR

    SANER: Annotation-free Societal Attribute Neutralizer for Debiasing CLIP

    掲載ID: iclr:2025:f1ee1cca0721de55bb35cf28ab95e1b4

    Yusuke Hirota, Min-Hung Chen, Chien-Yi Wang, Yuta Nakashima, Yu-Chiang Frank Wang, Ryo Hachiuma

    Machine Learning

    大阪大学

  10. 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

  11. 2025 · ICML

    PAC-Bayes Analysis for Recalibration in Classification

    掲載ID: pmlr:v267:fujisawa25a

    Masahiro Fujisawa, Futoshi Futami

    Machine Learning

    大阪大学

  12. 2025 · NeurIPS

    EvoBrain: Dynamic Multi-Channel EEG Graph Modeling for Time-Evolving Brain Networks

    掲載ID: neurips:2025:d51ce6040fe3dafd260411593f05a1fa

    Rikuto Kotoge, Zheng Chen, Tasuku Kimura, Yasuko Matsubara, Takufumi Yanagisawa, Haruhiko Kishima, Yasushi Sakurai

    Machine Learning

    大阪大学

  13. 2025 · NeurIPS

    Forecasting in Offline Reinforcement Learning for Non-stationary Environments

    掲載ID: neurips:2025:0bc91addac6b72fb970c678a936dacf0

    Suzan Ece Ada, Georg Martius, Emre Ugur, Erhan Oztop

    Machine Learning

    大阪大学

  14. 2025 · NeurIPS

    Information-theoretic Generalization Analysis for VQ-VAEs: A Role of Latent Variables

    掲載ID: neurips:2025:47175e4d715132f4d59f891d23eeae73

    Futoshi Futami, Masahiro Fujisawa

    Machine Learning

    大阪大学

  15. 2025 · NeurIPS

    Language‑Bias‑Resilient Visual Question Answering via Adaptive Multi‑Margin Collaborative Debiasing

    掲載ID: neurips:2025:b6edb87876bec4ac2260bffa083cb992

    Huanjia Zhu, Shuyuan Zheng, Yishu Liu, Sudong Cai, Bingzhi Chen

    Machine Learning

    大阪大学

  16. 2025 · NeurIPS

    Learning Relative Gene Expression Trends from Pathology Images in Spatial Transcriptomics

    掲載ID: neurips:2025:7d535a224c8ae54ba75bac0457b6b279

    Kazuya Nishimura, Haruka Hirose, Ryoma Bise, Kaito Shiku, Yasuhiro Kojima

    Machine Learning

    九州大学 / 大阪大学

  17. 2025 · NeurIPS

    RAPTR: Radar-based 3D Pose Estimation using Transformer

    掲載ID: neurips:2025:fb074972f6668f5be97be299b8e64a96

    Sorachi Kato, Ryoma Yataka, Pu (Perry) Wang, Pedro Miraldo, Takuya Fujihashi, Petros Boufounos

    Machine Learning

    大阪大学

  18. 2025 · NeurIPS

    Scalable Valuation of Human Feedback through Provably Robust Model Alignment

    掲載ID: neurips:2025:c2c4c24889d8d0e4b0b0ce4a98fd56ef

    Masahiro Fujisawa, Masaki Adachi, Michael A Osborne

    Machine Learning

    大阪大学

2024年

  1. 2024 · ICLR

    Crystalformer: Infinitely Connected Attention for Periodic Structure Encoding

    掲載ID: iclr:2024:c428adf74782c2092d254329b6b02482

    Tatsunori Taniai, Ryo Igarashi, Yuta Suzuki, Naoya Chiba, Kotaro Saito, Yoshitaka Ushiku, Kanta Ono

    Machine Learning

    大阪大学 / 東北大学

  2. 2024 · ICML

    Criterion Collapse and Loss Distribution Control

    掲載ID: pmlr:v235:holland24a

    Matthew J. Holland

    Machine Learning

    大阪大学

  3. 2024 · ICML

    Longitudinal Targeted Minimum Loss-based Estimation with Temporal-Difference Heterogeneous Transformer

    掲載ID: pmlr:v235:shirakawa24a

    Toru Shirakawa, Yi Li, Yulun Wu, Sky Qiu, Yuxuan Li, Mingduo Zhao, Hiroyasu Iso, Mark J. Van Der Laan

    Machine Learning

    大阪医科薬科大学 / 大阪大学

  4. 2024 · ICML

    Position: Towards Implicit Prompt For Text-To-Image Models

    掲載ID: pmlr:v235:yang24o

    Yue Yang, Yuqi Lin, Hong Liu [東京科学大学] [大阪大学], Wenqi Shao, Runjian Chen, Hailong Shang, Yu Wang, Yu Qiao, Kaipeng Zhang, Ping Luo

    Machine Learning

    東京科学大学 / 大阪大学

  5. 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

  6. 2024 · ICML

    SiT: Symmetry-invariant Transformers for Generalisation in Reinforcement Learning

    掲載ID: pmlr:v235:weissenbacher24a

    Matthias Weissenbacher, Rishabh Agarwal, Yoshinobu Kawahara

    Machine Learning

    大阪大学

  7. 2024 · ICML

    Understanding Diffusion Models by Feynman’s Path Integral

    掲載ID: pmlr:v235:hirono24a

    Yuji Hirono, Akinori Tanaka, Kenji Fukushima

    Machine Learning

    大阪大学 / 東京大学

  8. 2024 · NeurIPS

    Flipping-based Policy for Chance-Constrained Markov Decision Processes

    掲載ID: neurips:2024:760b5def8dcb1156aac454e9c0f5f406

    Xun Shen, Shuo Jiang [東京科学大学] [大阪大学], Akifumi Wachi, Kazumune Hashimoto, Sebastien Gros

    Machine Learning

    東京科学大学 / 大阪大学

  9. 2024 · NeurIPS

    Identifying Latent State-Transition Processes for Individualized Reinforcement Learning

    掲載ID: neurips:2024:e1d40e928125c515099a3fdb75f06a50

    Yuewen Sun, Biwei Huang, Yu Yao, Donghuo Zeng, Xinshuai Dong, Songyao Jin, Boyang Sun, Roberto Legaspi, Kazushi Ikeda, Peter Spirtes, Kun Zhang

    Machine Learning

    大阪大学

  10. 2024 · NeurIPS

    Information-theoretic Generalization Analysis for Expected Calibration Error

    掲載ID: neurips:2024:9961e42624a6c083279303767c73269d

    Futoshi Futami, Masahiro Fujisawa

    Machine Learning

    大阪大学

  11. 2024 · NeurIPS

    Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility Generation

    掲載ID: neurips:2024:e142fd2b70f10db2543c64bca1417de8

    Jiawei Wang, Renhe Jiang, Chuang Yang, Zengqing Wu, Makoto Onizuka, Ryosuke Shibasaki, Noboru Koshizuka, Chuan Xiao

    Machine Learning

    大阪大学 / 東京大学

  12. 2024 · NeurIPS

    Soft ascent-descent as a stable and flexible alternative to flooding

    掲載ID: neurips:2024:430894999584d0bd358611e2ecf00b15

    Matthew J. Holland, Kosuke Nakatani

    Machine Learning

    大阪大学

2023年

  1. 2023 · ICLR

    Arbitrary Virtual Try-on Network: Characteristics Representation and Trade-off between Body and Clothing

    掲載ID: openreview:d8mr8lkiz3n

    yu liu, Mingbo Zhao, Zhao Zhang, Jicong Fan, Yang Lou, shuicheng YAN

    Machine Learning

    大阪大学

  2. 2023 · ICLR

    Average Sensitivity of Decision Tree Learning

    掲載ID: openreview:boik01yhssb

    Satoshi Hara, Yuichi Yoshida

    Machine Learning

    大阪大学

  3. 2023 · ICLR

    FINDE: Neural Differential Equations for Finding and Preserving Invariant Quantities

    掲載ID: openreview:tlsckvhccr

    Takashi Matsubara, Takaharu Yaguchi

    Machine Learning

    神戸大学 / 大阪大学

  4. 2023 · ICLR

    Fooling SHAP with Stealthily Biased Sampling

    掲載ID: openreview:j4mjjotsauh

    Gabriel Laberge, Ulrich Aïvodji, Satoshi Hara, Mario Marchand, Foutse Khomh

    Machine Learning

    大阪大学

  5. 2023 · NeurIPS

    General Munchausen Reinforcement Learning with Tsallis Kullback-Leibler Divergence

    掲載ID: neurips:2023:b3e866c228f8f4ea18021ae63aea5453

    Lingwei Zhu, Zheng Chen, Matthew Schlegel, Martha White

    Machine Learning

    大阪大学

  6. 2023 · NeurIPS

    Many-body Approximation for Non-negative Tensors

    掲載ID: neurips:2023:ea94957d81b1c1caf87ef5319fa6b467

    KAZU GHALAMKARI, Mahito Sugiyama, Yoshinobu Kawahara

    Machine Learning

    大阪大学

  7. 2023 · NeurIPS

    Safe Exploration in Reinforcement Learning: A Generalized Formulation and Algorithms

    掲載ID: neurips:2023:5d4cd12ef6efedbf26b69b410f1f7d67

    Akifumi Wachi, Wataru Hashimoto, Xun Shen, Kazumune Hashimoto

    Machine Learning

    大阪大学

  8. 2023 · NeurIPS

    Time-Independent Information-Theoretic Generalization Bounds for SGLD

    掲載ID: neurips:2023:19dbb86f771ddbf9986cf0c9b1c61c17

    Futoshi Futami, Masahiro Fujisawa

    Machine Learning

    大阪大学

2022年

  1. 2022 · ICML

    Sequential and Parallel Constrained Max-value Entropy Search via Information Lower Bound

    掲載ID: pmlr:v162:takeno22a

    Shion Takeno, Tomoyuki Tamura, Kazuki Shitara, Masayuki Karasuyama

    Machine Learning

    名古屋工業大学 / 大阪大学

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