arXivDaily arXiv每日学术速递 周一至周五更新

高校专区

Imperial College London(帝国理工学院)

2026-05-25 至 2026-05-25 共收录 6
2605.23840 2026-05-25 cs.CV

MuellerPT: Decomposition Driven Pretraining for Dense Learning in Mueller Polarimetry

MuellerPT: 穆勒偏振测量中密集学习的分解驱动预训练

Adam Tlemsani, Yingdian Li, Maxime Giot, Naim Slim, Christopher J. Peters, Abhijeet Ghosh, Daniel S. Elson

机构 * Department of Computing, Imperial College London(帝国理工学院计算机系) Hamlyn Centre for Robotic Surgery, Imperial College London(帝国理工学院机器人外科中心) Department of Surgery and Cancer, Imperial College London(帝国理工学院外科与癌症系) Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences(中国科学院西安光学精密机械研究所) University of Chinese Academy of Sciences(中国科学院大学)

AI总结 提出MuellerPT,一种通过预测Lu-Chipman分解图进行物理引导预训练的方法,在少样本分割和分类任务中显著提升标签效率和跨样本泛化能力。

Comments Accepted to 29th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2026)

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2604.24920 2026-05-25 cs.CR cs.AI

SUDP: Secret-Use Delegation Protocol for Agentic Systems

SUDP: 面向智能体系统的秘密使用委托协议

Xiaohang Yu, Hejia Geng, Xinmeng Zeng, William Knottenbelt

机构 * Imperial College London(伦敦帝国学院) University of Oxford(牛津大学) Stanford University(斯坦福大学)

AI总结 针对智能体系统中用户秘密被滥用的问题,提出秘密使用委托协议(SUDP),通过授权、委托和兑现机制实现一次性秘密使用,满足七项安全属性。

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2605.23629 2026-05-25 cs.CV

DDX-TRACE: A Benchmark for Medical Diagnostic Trajectories in VLMs

DDX-TRACE: 视觉语言模型中医学诊断轨迹的基准

Jiazhen Pan, Weixiang Shen, Jun Li, Julian Canisius, Felix Bitzer, Paula Roßmüller, Jiancheng Yang, Virginie Kreutzinger, Daniel Rueckert, Benedikt Wiestler

机构 * Technical University of Munich(慕尼黑技术大学) TUM University Hospital(TUM大学医院) Munich Center for Machine Learning(慕尼黑机器学习中心) LMU Munich(慕尼黑大学) Aalto University(阿尔托大学) Imperial College London(伦敦帝国学院)

AI总结 提出DDX-TRACE基准,通过隐藏证据的多轮诊断轨迹评估VLM在神经放射学中的工作流质量,揭示最终诊断分数无法反映的推理缺陷。

Comments 41 pages

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2604.11679 2026-05-25 cs.CV

Towards Brain MRI Foundation Models for the Clinic: Findings from the FOMO25 Challenge

面向临床的大脑MRI基础模型:来自FOMO25挑战赛的发现

Asbjørn Munk, Stefano Cerri, Vardan Nersesjan, Christian Hedeager Krag, Jakob Ambsdorf, Pablo Rocamora García, Julia Machnio, Peirong Liu, Suhyun Ahn, Nasrin Akbari, Yasmina Al Khalil, Kimberly Amador, Sina Amirrajab, Tal Arbel, Meritxell Bach Cuadra, Ujjwal Baid, Bhakti Baheti, Jaume Banus, Kamil Barbierik, Christoph Brune, Yansong Bu, Baptiste Callard, Yuhan Chen, Cornelius Crijnen, Corentin Dancette, Peter Drotar, Prasad Dutande, Nils D. Forkert, Saurabh Garg, Jakub Gazda, Matej Gazda, Benoît Gérin, Partha Ghosh, Weikang Gong, Pedro M. Gordaliza, Sam Hashemi, Tobias Heimann, Fucang Jia, Jiexin Jiang, Emily Kaczmarek, Chris Kang, Seung Kwan Kang, Mohammad Khazaei, Julien Khlaut, Petros Koutsouvelis, Jae Sung Lee, Yuchong Li, Mengye Lyu, Mingchen Ma, Anant Madabhushi, Klaus H. Maier-Hein, Pierre Manceron, Andrés Martínez Mora, Moona Mazher, Felix Meister, Nataliia Molchanova, Steven A. Niederer, Leonard Nürnberg, Jinah Park, Abdul Qayyum, Jonas Richiardi, Antoine Saporta, Branislav Setlak, Ning Shen, Justin Szeto, Constantin Ulrich, Puru Vaish, Vibujithan Vigneshwaran, Leroy Volmer, Zihao Wang, Siqi Wei, Anthony Winder, Jelmer M. Wolterink, Maxence Wynen, Chang Yang, Si Young Yie, Mostafa Mehdipour Ghazi, Akshay Pai, Espen Jimenez Solem, Sebastian Nørgaard Llambias, Mikael Boesen, Michael Eriksen Benros, Juan Eugenio Iglesias, Mads Nielsen

机构 * organization= Department of Computer Science, University of Copenhagen , city= Copenhagen , country= Denmark organization= Pioneer Centre for AI , city= Copenhagen , country= Denmark organization= Copenhagen Research Centre for Biological Precision Psychiatry, Mental Health Centre Copenhagen, Copenhagen University Hospital , region= Capital Region of Denmark , city= Copenhagen , country= Denmark organization= Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital Harvard Medical School , city= Boston , state= Massachusetts , country= USA Artificial Intelligence Laboratory, Massachusetts Institute of Technology , city= Boston , state= Massachusetts , country= USA organization= Johns Hopkins University , city= Baltimore , state= Maryland , country= USA organization= Radiological AI Testcenter (RAIT) , region= Capital Region of Denmark , city= Copenhagen , country= Denmark organization= Copenhagen University Hospital, Rigshospitalet , region= Capital Region of Denmark , city= Copenhagen , country= Denmark organization= Copenhagen University Hospital, Bispebjerg \& Frederiksberg Hospital , region= Capital Region of Denmark , city= Copenhagen , country= Denmark organization= Department of Clinical Medicine, Faculty of Health Medical Sciences, University of Copenhagen , city= Copenhagen , country= Denmark organization= Division of Medical Image Computing, German Cancer Research Center (DKFZ) , city= Heidelberg , country= Germany organization= University of British Columbia , city= Vancouver , state= British Columbia , country= Canada organization= Hawkes Institute, Department of Computer Science, University College London , city= London , country= United Kingdom Lung Institute, Faculty of Medicine, Imperial College London , city= London , country= United Kingdom organization= Department of Applied Mathematics, Technical Medical Centre, University of Twente , city= Enschede , country= Netherlands organization= IISLAB, Technical University of Košice , city= Košice , country= Slovakia organization= 2nd Department of Internal Medicine, Pavol Jozef Safarik University L Pasteur University Hospital , city= Košice , country= Slovakia organization= Fudan University , city= Shanghai , country= China organization= Shenzhen Technology University , city= Shenzhen , country= China organization= Department of Radiology, Lausanne University Hospital University of Lausanne , city= Lausanne , country= Switzerland organization= Louvain Neuroinflammation Imaging Lab (NIL), Université Catholique de Louvain , city= Brussels , country= Belgium organization= University of Applied Sciences organization= CIBM Center for Biomedical Imaging , city= Lausanne , country= Switzerland organization= Department of Radiation Oncology (Maastro), GROW Research Institute for Oncology Reproduction, Maastricht University Medical Centre+ , city= Maastricht , country= The Netherlands organization= Department of Biomedical Engineering, Medical Image Analysis, Eindhoven University of Technology , city= Eindhoven , country= The Netherlands organization= Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences , city= Shenzhen , country= China organization= McGill University Mila - Quebec AI Institute , city= Montreal , country= Canada organization= Hotchkiss Brain Institute Department of Radiology, University of Calgary , city= Calgary , state= Alberta , country= Canada organization= Department of Radiology, University of Calgary , city= Calgary , state= Alberta , country= Canada organization= Alberta Children's Hospital Research Institute, Department of Clinical Neuroscience, University of Calgary , city= Calgary , state= Alberta , country= Canada organization= The Wallace H. Coulter Department of Biomedical Engineering, Georgia Tech Emory University , city= Atlanta , state= Georgia , country= USA organization= SGGS College of Engineering organization= Seoul National University , city= Seoul , country= South Korea organization= The D-Lab, Department of Precision Medicine, GROW Research Institute for Oncology Reproduction, Maastricht University , city= Maastricht , country= The Netherlands organization= Artificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Harvard Medical School , city= Boston , state= Massachusetts , country= USA Nuclear Medicine, CARIM \& GROW, Maastricht University , city= Maastricht , country= The Netherlands organization= Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham Women’s Hospital, Harvard Medical School , city= Boston , state= Massachusetts , country= USA Learning Group, Heidelberg University Hospital , city= Heidelberg , country= Germany

AI总结 针对临床脑MRI数据异质且标注成本高的问题,FOMO25挑战赛通过自监督预训练(FOMO60K数据集)评估了16个团队的基础模型,发现自监督预训练能提升域迁移泛化性,但不同任务需不同预训练目标,且模型规模扩展收益有限。

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2603.06610 2026-05-25 cs.LG

CapTrack: Multifaceted Evaluation of Forgetting in LLM Post-Training

CapTrack: 大语言模型后训练中遗忘的多方面评估

Lukas Thede, Stefan Winzeck, Zeynep Akata, Jonathan Richard Schwarz

机构 * Thomson Reuters Foundational Research(汤姆森路透基础研究) Tübingen AI Center, University of Tübingen(图宾根人工智能中心,图宾根大学) Munich Center for Machine Learning (MCML), Technical University Munich(慕尼黑机器学习中心(MCML),慕尼黑技术大学) Imperial College London(伦敦帝国理工学院)

AI总结 提出CapTrack框架,通过行为分类和评估套件系统分析LLM后训练中的遗忘现象,发现遗忘不仅限于参数知识,还涉及鲁棒性和默认行为的显著漂移。

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2508.14311 2026-05-25 cs.LG cs.AI

Online Learning with Multiple Fairness Regularizers via Graph-Structured Feedback

通过图结构反馈进行多重公平正则化器的在线学习

Quan Zhou, Jakub Marecek, Robert Shorten

机构 * Department of Mathematics, National University of Singapore(新加坡国立大学数学系) Department of Computer Science, Czech Technical University(捷克技术大学计算机科学系) Dyson School of Design Engineering, Imperial College London(伦敦帝国理工学院设计工程戴森学院) Imperial College London(伦敦帝国理工学院)

AI总结 本文针对在线决策中多重公平约束的权重自适应问题,提出了一种基于图结构反馈的赌博机算法,能够在不预先知道权重的情况下在线学习并平衡多个公平性目标。

Comments Published in Transactions on Machine Learning Research (TMLR), 2026. OpenReview: https://openreview.net/forum?id=y8iWuDZtEw

Journal ref Transactions on Machine Learning Research (TMLR), 2026

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