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2511.21613 2026-04-21 cs.CL cs.AI cs.LG

Beyond URLs: Metadata Diversity and Position for Efficient LLM Pretraining

超越URLs:元数据多样性与位置对高效LLM预训练的影响

Dongyang Fan, Diba Hashemi, Sai Praneeth Karimireddy, Martin Jaggi

机构 * EPFL(苏黎世联邦理工学院) University of Southern California(南加州大学)

AI总结 本文研究了元数据类型对LLM预训练的影响,发现细粒度文档质量指标能提升训练效率,并提出元数据追加方法以加速预训练过程。

Comments ICLR 2026

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2604.16651 2026-04-21 cs.CL

Migrant Voices, Local News: Insights on Bridging Community Needs with Media Content

移民之声,本地新闻:探讨如何将社区需求与媒体内容相结合

David Alonso del Barrio, Paula Dolores Rescala, Victor Bros, Daniel Gatica-Perez

机构 * Idiap Research Institute(Idiap研究 institute) EPFL(瑞士联邦理工学院)

AI总结 研究探讨法国语移民如何与本地新闻互动,分析其需求是否被覆盖,通过NLP方法分析2000多篇本地新闻文章,发现尽管事件报道丰富,但重要话题仍有缺失,且可读性提示对移民的可及性问题。

Comments David Alonso del Barrio, Paula Dolores Rescala, Victor Bros, Daniel Gatica-Perez| ACM 2026. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record will be published in IMX'26 ACM International Conference on Interactive Media Experiences https://doi.org/10.1145/3788851.3805011

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2604.15453 2026-04-20 cs.CV cs.AI cs.LG

(1D) Ordered Tokens Enable Efficient Test-Time Search

(1D) 有序标记实现高效的测试时搜索

Zhitong Gao, Parham Rezaei, Ali Cy, Mingqiao Ye, Nataša Jovanović, Jesse Allardice, Afshin Dehghan, Amir Zamir, Roman Bachmann, Oğuzhan Fatih Kar

机构 * Swiss Federal Institute of Technology Lausanne (EPFL)(瑞士联邦理工学院洛桑分校) Apple(苹果公司)

AI总结 本文研究了有序标记对测试时搜索能力的影响,发现粗到细的1D结构比传统2D网格结构更易进行搜索,通过实验验证了有序结构在生成过程中能提升测试时扩展性。

Comments Project page: https://soto.epfl.ch/

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2604.09836 2026-04-20 cs.AI cs.CL cs.LG

COMPOSITE-Stem

COMPOSITE-STEM基准:通过70个专家编写的任务评估AI代理的科学推理能力

Kyle Waters, Lucas Nuzzi, Tadhg Looram, Alessandro Tomasiello, Ariel Ghislain Kemogne Kamdoum, Bikun Li, Damien Sileo, Egor Kretov, Francesco Fournier-Facio, Georgios Soloupis, Haile Kassahun, Hew Wolff, Jiaqi Cai, Lianghui Li, Marc Roth, Mohinder Naiya, Naixu Guo, Qicheng Tang, Richard Wheeler, Samuele Sala, Serguei Popov, Steven Dillmann, Yuqi Li

机构 * PortexAI University of Milano-Bicocca(米兰-比科卡大学) University of Calgary(卡尔加里大学) University of Chicago(芝加哥大学) Inria(法国国家信息与自动化技术研究院) Fraunhofer Institute for Individualized Medical Technology IMTE(弗劳恩霍夫个性化医疗技术研究所) University of Cambridge(剑桥大学) Independent(独立) McGill University(麦吉尔大学) Massachusetts Institute of Technology(麻省理工学院) École Polytechnique Fédérale de Lausanne(洛桑联邦理工学院) Queen Mary University of London(伦敦大学玛丽女王学院) Dot Ingredients National University of Singapore(新加坡国立大学) Georgia Institute of Technology(佐治亚理工学院) University of Edinburgh(爱丁堡大学) Murdoch University(墨尔本大学) University of Porto(波尔图大学) Stanford University(斯坦福大学) Stony Brook University(史泰津布鲁克大学)

AI总结 本文提出COMPOSITE-STEM基准,通过70个专家编写任务评估AI代理的科学推理能力,结合精确匹配评分和LLM作为评委的协议,展示AI在科学领域的能力突破。

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2512.05722 2026-04-20 cs.LG physics.chem-ph

Teaching Language Models Mechanistic Explainability Through MechSMILES

通过MechSMILES教会语言模型机制性可解释性

Théo A. Neukomm, Zlatko Jončev, Philippe Schwaller

机构 * Laboratory of Artificial Chemical Intelligence (LIAC), Institut des Sciences et Ingénierie Chimiques, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne 1015, Switzerland(人工化学智能实验室(LIAC)、化学与工程学院、瑞士联邦理工学院(EPFL)、拉沃斯纳1015号)

AI总结 本文提出MechSMILES框架,通过箭头推导法教会语言模型预测化学反应机制,实现了反应路径验证、原子映射和催化剂识别等能力,展示了在复杂机制预测任务中的高准确率。

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2604.14075 2026-04-16 math.OC cs.LG stat.ML

Multistage Conditional Compositional Optimization

多阶段条件组合优化

Buse Şen, Yifan Hu, Daniel Kuhn

机构 * EPFL(瑞士联邦理工学院) Rutgers University(罗格斯大学)

AI总结 本文提出多阶段条件组合优化(MCCO)新范式,结合多阶段随机规划与条件随机优化,通过减少嵌套期望和非线性成本函数来解决不确定性决策问题,适用于最优停止、线性二次调节器、分布鲁棒上下文老虎机等场景。

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2305.02304 2026-04-16 stat.ML cs.LG

New Equivalences Between Interpolation and SVMs: Kernels and Structured Features

插值与支持向量机之间的新等价关系:核与结构化特征

Chiraag Kaushik, Andrew D. McRae, Mark A. Davenport, Vidya Muthukumar

机构 * School of Electrical and Computer Engineering, Georgia Institute of Technology(佐治亚理工学院电子与计算机工程系) Institute of Mathematics, EPFL(瑞士联邦理工学院数学学院) School of Industrial & Systems Engineering, Georgia Institute of Technology(佐治亚理工学院工业与系统工程系)

AI总结 本文探讨了插值与支持向量机之间的等价关系,通过灵活的分析框架证明了在任意再生核希尔伯特空间中,SVP现象在多种生成模型下成立,并推导了核SVM分类的新型泛化结果。

Comments 23 pages, 2 figures

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2604.12887 2026-04-15 cs.CV cs.LG

VideoFlexTok: Flexible-Length Coarse-to-Fine Video Tokenization

VideoFlexTok: 可变长度粗到细视频标记化

Andrei Atanov, Jesse Allardice, Roman Bachmann, Oğuzhan Fatih Kar, R Devon Hjelm, David Griffiths, Peter Fu, Afshin Dehghan, Amir Zamir

机构 * Apple(苹果公司) Swiss Federal Institute of Technology Lausanne (EPFL)(瑞士联邦理工学院洛桑分校(EPFL))

AI总结 VideoFlexTok通过可变长度粗到细标记化结构,实现更高效的视频生成,相比传统3D网格标记化,模型更小且生成质量相近。

Comments project page at https://videoflextok.epfl.ch/

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2510.00310 2026-04-15 cs.LG cs.MA

Robust Federated Inference

鲁棒联邦推断

Akash Dhasade, Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Maxime Jacovella, Anne-Marie Kermarrec, Rafael Pinot

机构 * EPFL(苏黎世联邦理工学院) University of Copenhagen(哥本哈根大学) Sorbonne Université and Université Paris Cité, CNRS, LPSM(巴黎索邦大学和巴黎cité大学,法国国家科学研究中心,巴黎数学研究所)

AI总结 本文提出鲁棒联邦推断框架,通过结合对抗训练与测试时鲁棒聚合,提升非线性聚合器的鲁棒性,在多个基准测试中准确率提升4.7-22.2%。

Comments Accepted at ICLR 2026

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2505.23209 2026-04-15 cs.CV

Navigating the Accuracy-Size Trade-Off with Flexible Model Merging

通过灵活模型合并导航精度-大小权衡

Akash Dhasade, Divyansh Jhunjhunwala, Milos Vujasinovic, Gauri Joshi, Anne-Marie Kermarrec

机构 * EPFL(苏黎世联邦理工学院) Carnegie Mellon University(卡内基梅隆大学)

AI总结 本文提出FlexMerge框架,灵活生成不同规模的合并模型,并揭示不同算法在精度与规模权衡中的表现差异,验证了其在视觉和NLP任务中的有效性。

Comments Accepted at ICLR 2026

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2206.00939 2026-04-15 stat.ML cs.LG

Gradient flow dynamics of shallow ReLU networks for square loss and orthogonal inputs

浅层ReLU网络在平方损失和正交输入下的梯度流动力学

Etienne Boursier, Loucas Pillaud-Vivien, Nicolas Flammarion

机构 * TML, EPFL(TML,瑞士联邦理工学院)

AI总结 本文研究了正交输入下单隐层ReLU网络在小初始化时的梯度流动力学,揭示了非凸优化中梯度流收敛至零损失及隐含偏置最小变化范数的特性。

Comments corrected Proposition 1

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2604.11751 2026-04-14 cs.RO cs.AI

Grounded World Model for Semantically Generalizable Planning

基于语义泛化的世界模型用于规划

Quanyi Li, Lan Feng, Haonan Zhang, Wuyang Li, Letian Wang, Alexandre Alahi, Harold Soh

机构 * Independent(独立) EPFL(瑞士联邦理工学院洛桑) Beihang University(北京航空航天大学) University of Toronto(多伦多大学) NUS(新加坡国立大学)

AI总结 本文提出基于视觉-语言对齐潜在空间的世界模型,用于改进视觉-运动模型控制,实现更广泛的语义泛化能力。

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2604.10848 2026-04-14 cs.LG

Transformers Learn Latent Mixture Models In-Context via Mirror Descent

Transformer通过镜像下降学习上下文中的潜在混合模型

Francesco D'Angelo, Nicolas Flammarion

机构 * TML Lab, EPFL(EPFL TML实验室)

AI总结 本文提出通过镜像下降学习上下文中的潜在混合模型,探讨了Transformer在确定上下文相关性及重要性时的机制,并展示了其在预测和注意力模式上的有效性。

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2603.22479 2026-04-14 math.OC cs.AI

Cognitive Training for Language Models: Towards General Capabilities via Cross-Entropy Games

语言模型的认知训练:通过交叉熵游戏实现通用能力

Clément Hongler, Franck Gabriel, Valentin Hartmann, Arthur Renard, Andrew Emil

机构 * Xent Labs EPFL(瑞士联邦理工学院洛桑) Université Lyon 1(里昂第一大学)

AI总结 本文提出通过交叉熵游戏构建语言模型通用能力的框架,探讨了基于贪心优化算法的课程学习方法,并认为认知训练是发现相关技能的有效途径。

Comments 22 pages, 1 figure

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2506.13331 2026-04-14 cs.LG

Mixture of Cognitive Reasoners: Modular Reasoning with Brain-Like Specialization

认知推理的混合:类脑的专业化模块推理

Badr AlKhamissi, C. Nicolò De Sabbata, Greta Tuckute, Zeming Chen, Martin Schrimpf, Antoine Bosselut

机构 * EPFL(瑞士联邦理工学院洛桑) Brain and Cognitive Sciences at MIT(麻省理工学院脑与认知科学系) Kempner Institute at Harvard University(哈佛大学肯普纳研究所)

AI总结 本文提出MiCRo模型,通过类脑专业化模块实现认知行为,提供可解释的推理模块,支持动态路由并优于基线模型。

Comments ICLR 2026. Project Page at https://cognitive-reasoners.epfl.ch

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2604.10166 2026-04-14 cs.LG cs.AI cs.SY eess.SY

Virtual Smart Metering in District Heating Networks via Heterogeneous Spatial-Temporal Graph Neural Networks

通过异构时空图神经网络实现区域供暖网络的虚拟智能电表

Keivan Faghih Niresi, Christian Møller Jensen, Carsten Skovmose Kallesøe, Rafael Wisniewski, Olga Fink

机构 * Intelligent Maintenance and Operations Systems Lab., EPFL, Lausanne, Switzerland(智能维护与运营系统实验室,瑞士联邦理工学院洛桑分校,洛桑,瑞士) Department of Electronic Systems, Aalborg University, Aalborg, Denmark(电子系统系,奥尔堡大学,奥尔堡,丹麦)

AI总结 本文提出异构时空图神经网络(HSTGNN)用于构建虚拟智能热表,解决区域供暖网络中观测不足和传感器故障的问题,通过学习流体、温度和压力的时空动态关系提升监控能力。

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2601.11310 2026-04-14 cs.CV

Context-Aware Semantic Segmentation via Stage-Wise Attention

基于阶段的语义分割通过上下文感知

Antoine Carreaud, Elias Naha, Arthur Chansel, Nina Lahellec, Jan Skaloud, Adrien Gressin

机构 * EPFL(瑞士联邦理工学院洛桑) HEIG-VD(沃州高等工程学院)

AI总结 本文提出CASWiT模型,通过轻量级阶段交叉注意力机制提升高分辨率图像分割性能,实验表明在FLAIR-HUB数据集上达到66.37%的mIoU,并在URUR基准和医学分割任务中表现优异。

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2601.23045 2026-04-13 cs.AI

The Hot Mess of AI: How Does Misalignment Scale With Model Intelligence and Task Complexity?

AI的混乱:模型智能与任务复杂性如何影响对齐问题

Alexander Hägele, Aryo Pradipta Gema, Henry Sleight, Ethan Perez, Jascha Sohl-Dickstein

机构 * Anthropic Fellows Program(Anthropic 研究员计划) EPFL(瑞士联邦理工学院洛桑) University of Edinburgh(爱丁堡大学) Constellation Anthropic

AI总结 研究探讨了高智能AI模型在复杂任务中失败的机制,发现模型规模越大,失败行为越不一致,强调对齐研究在防止奖励黑客和目标误指定中的重要性。

Comments ICLR 2026. 10 pages main text, 40 total, 27 figures. v2: typos, improved writing, references

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2604.09158 2026-04-13 cs.HC cs.AI

Structuring versus Problematizing: How LLM-based Agents Scaffold Learning in Diagnostic Reasoning

结构化与问题化:基于LLM的智能体如何在诊断推理中构建学习

Fatma Betül Güreş, Tanya Nazaretsky, Seyed Parsa Neshaei, Tanja Käser

机构 * ETH Zürich(苏黎世联邦理工学院) EPFL(洛桑联邦理工学院)

AI总结 本文探讨了基于LLM的智能体如何通过结构化和问题化策略促进诊断推理学习,研究发现两种策略在不同参与度指标上各有优势。

Comments 12 pages, 8 figures. Accepted at LAK 2026

Journal ref In Proceedings of the 16th International Learning Analytics and Knowledge Conference (LAK 2026), April 27-May 1, 2026, Bergen, Norway. ACM, New York, NY, USA

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2502.19280 2026-04-10 cs.LG cs.DC cs.IR

Efficient Federated Search for Retrieval-Augmented Generation using Lightweight Routing

高效联邦搜索用于检索增强生成:使用轻量级路由

Akash Dhasade, Rachid Guerraoui, Anne-Marie Kermarrec, Diana Petrescu, Rafael Pires, Mathis Randl, Martijn de Vos

机构 * EPFL(瑞士联邦理工学院洛桑分校)

AI总结 本文提出RAGRoute,一种轻量级路由机制,通过神经分类器动态选择相关数据源,减少通信开销和端到端延迟,同时保持检索质量,在三个基准测试中实现通信量减少80.65%和延迟减少52.50%。

Comments To appear in the proceedings of DAIS 2026 (Distributed Applications and Interoperable Systems). An earlier version appeared at EuroMLSys 2025

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2404.02696 2026-04-10 cs.LG

Deep Privacy Funnel Model: From a Discriminative to a Generative Approach with an Application to Face Recognition

深度隐私 funnel 模型:从判别到生成方法的转变及其在人脸识别中的应用

Behrooz Razeghi, Parsa Rahimi, Sébastien Marcel

机构 * Harvard University(哈佛大学) Idiap Research Institute(Idiap 研究所) École Polytechnique Fédérale de Lausanne (EPFL)(洛桑联邦理工学院) Université de Lausanne(洛桑大学)

AI总结 本文提出深度隐私 funnel 模型,结合信息论隐私原则与表征学习,改进人脸识别中的隐私保护与效用平衡,同时引入生成隐私 funnel 模型和深度变分隐私 funnel 模型,降低敏感信息泄露。

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2604.07746 2026-04-10 cs.LG cs.CE physics.comp-ph

Towards Rapid Constitutive Model Discovery from Multi-Modal Data: Physics Augmented Finite Element Model Updating (paFEMU)

面向多模态数据的快速本构模型发现:物理增强有限元模型更新(paFEMU)

Jingye Tan, Govinda Anantha Padmanabha, Steven J. Yang, Nikolaos Bouklas

机构 * University of Southern California(南加州大学) Cornell University(康奈尔大学) Ecole Polytechnique Federale de Lausanne (EPFL)(洛桑联邦理工学院) Pasteur Labs

AI总结 本文提出paFEMU方法,结合AI本构建模、稀疏化可解释模型发现和基于有限元的伴随优化,利用多模态数据实现快速本构模型发现。

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2604.07069 2026-04-09 eess.SY cs.LG cs.SY math.DS

Controller Design for Structured State-space Models via Contraction Theory

通过收缩理论设计结构状态空间模型的控制器

Muhammad Zakwan, Vaibhav Gupta, Alireza Karimi, Efe C. Balta, Giancarlo Ferrari-Trecate

机构 * Laboratoire d’Automatique, EPFL(EPFL自动控制实验室) Control & Automation Group, Inspire AG(Inspire AG控制与自动化组) Automatic Control Laboratory (IfA), ETH Zürich(苏黎世联邦理工学院自动控制实验室)

AI总结 本文提出了一种间接数据驱动的输出反馈控制器设计方法,利用结构状态空间模型作为替代模型,通过线性矩阵不等式和收缩理论实现可扩展的控制设计,并建立分离原理以独立设计观测器和状态反馈控制器。

Comments The first and second authors contributed equally. The paper has been accepted in 24th European Control Conference (ECC) in Reykjavik, Iceland, 2026

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2604.06648 2026-04-09 astro-ph.GA cs.CV

Euclid Quick Data Release (Q1). AgileLens: A scalable CNN-based pipeline for strong gravitational lens identification

欧几里得快速数据发布(Q1)。AgileLens:一种可扩展的基于CNN的强引力透镜识别管道

Euclid Collaboration, X. Xu, R. Chen, T. Li, A. R. Cooray, S. Schuldt, J. A. Acevedo Barroso, D. Stern, D. Scott, M. Meneghetti, G. Despali, J. Chopra, Y. Cao, M. Cheng, J. Buda, J. Zhang, J. Furumizo, R. Valencia, Z. Jiang, C. Tortora, N. E. P. Lines, T. E. Collett, S. Fotopoulou, A. Galan, A. Manjón-García, R. Gavazzi, L. Iwamoto, S. Kruk, M. Millon, P. Nugent, C. Saulder, D. Sluse, J. Wilde, M. Walmsley, F. Courbin, R. B. Metcalf, B. Altieri, A. Amara, S. Andreon, N. Auricchio, C. Baccigalupi, M. Baldi, A. Balestra, S. Bardelli, P. Battaglia, R. Bender, A. Biviano, E. Branchini, M. Brescia, S. Camera, V. Capobianco, C. Carbone, V. F. Cardone, J. Carretero, S. Casas, M. Castellano, G. Castignani, S. Cavuoti, A. Cimatti, C. Colodro-Conde, G. Congedo, C. J. Conselice, L. Conversi, Y. Copin, H. M. Courtois, M. Cropper, A. Da Silva, H. Degaudenzi, G. De Lucia, C. Dolding, H. Dole, F. Dubath, X. Dupac, S. Dusini, S. Escoffier, M. Farina, R. Farinelli, S. Farrens, S. Ferriol, F. Finelli, P. Fosalba, M. Frailis, E. Franceschi, M. Fumana, S. Galeotta, K. George, W. Gillard, B. Gillis, C. Giocoli, P. Gómez-Alvarez, J. Gracia-Carpio, A. Grazian, F. Grupp, S. V. H. Haugan, W. Holmes, F. Hormuth, A. Hornstrup, K. Jahnke, M. Jhabvala, B. Joachimi, S. Kermiche, A. Kiessling, B. Kubik, M. Kümmel, M. Kunz, H. Kurki-Suonio, A. M. C. Le Brun, S. Ligori, P. B. Lilje, V. Lindholm, I. Lloro, G. Mainetti, E. Maiorano, O. Mansutti, S. Marcin, O. Marggraf, M. Martinelli, N. Martinet, F. Marulli, R. J. Massey, E. Medinaceli, S. Mei, M. Melchior, E. Merlin, G. Meylan, A. Mora, M. Moresco, L. Moscardini, R. Nakajima, C. Neissner, R. C. Nichol, S. -M. Niemi, J. W. Nightingale, C. Padilla, S. Paltani, F. Pasian, K. Pedersen, W. J. Percival, V. Pettorino, G. Polenta, M. Poncet, L. A. Popa, F. Raison, A. Renzi, J. Rhodes, G. Riccio, E. Romelli, M. Roncarelli, R. Saglia, Z. Sakr, D. Sapone, M. Schirmer, P. Schneider, T. Schrabback, A. Secroun, G. Seidel, E. Sihvola, P. Simon, C. Sirignano, G. Sirri, L. Stanco, P. Tallada-Crespí, A. N. Taylor, I. Tereno, N. Tessore, S. Toft, R. Toledo-Moreo, F. Torradeflot, I. Tutusaus, L. Valenziano, J. Valiviita, T. Vassallo, G. Verdoes Kleijn, A. Veropalumbo, Y. Wang, J. Weller, A. Zacchei, G. Zamorani, F. M. Zerbi, E. Zucca, M. Ballardini, M. Bolzonella, C. Burigana, R. Cabanac, M. Calabrese, A. Cappi, T. Castro, J. A. Escartin Vigo, L. Gabarra, S. Hemmati, J. Macias-Perez, R. Maoli, J. Martín-Fleitas, N. Mauri, P. Monaco, A. A. Nucita, A. Pezzotta, M. Pöntinen, I. Risso, V. Scottez, M. Sereno, M. Tenti, M. Tucci, M. Viel, M. Wiesmann, Y. Akrami, I. T. Andika, G. Angora, S. Anselmi, M. Archidiacono, F. Atrio-Barandela, L. Bazzanini, P. Bergamini, D. Bertacca, M. Bethermin, F. Beutler, L. Blot, S. Borgani, M. L. Brown, S. Bruton, A. Calabro, B. Camacho Quevedo, F. Caro, C. S. Carvalho, F. Cogato, S. Conseil, O. Cucciati, S. Davini, G. Desprez, A. Díaz-Sánchez, S. Di Domizio, J. M. Diego, P. -A. Duc, V. Duret, M. Y. Elkhashab, A. Enia, Y. Fang, A. Finoguenov, A. Franco, K. Ganga, T. Gasparetto, E. Gaztanaga, F. Giacomini, F. Gianotti, G. Gozaliasl, M. Guidi, C. M. Gutierrez, A. Hall, C. Hernández-Monteagudo, H. Hildebrandt, J. Hjorth, J. J. E. Kajava, Y. Kang, V. Kansal, D. Karagiannis, K. Kiiveri, J. Kim, C. C. Kirkpatrick, F. Lepori, G. Leroy, G. F. Lesci, J. Lesgourgues, T. I. Liaudat, S. J. Liu, M. Magliocchetti, E. A. Magnier, F. Mannucci, C. J. A. P. Martins, L. Maurin, M. Miluzio, C. Moretti, G. Morgante, K. Naidoo, A. Navarro-Alsina, S. Nesseris, D. Paoletti, F. Passalacqua, K. Paterson, L. Patrizii, A. Pisani, D. Potter, G. W. Pratt, S. Quai, M. Radovich, K. Rojas, W. Roster, S. Sacquegna, M. Sahlén, D. B. Sanders, E. Sarpa, C. Scarlata, A. Schneider, M. Schultheis, D. Sciotti, E. Sellentin, L. C. Smith, K. Tanidis, C. Tao, F. Tarsitano, G. Testera, R. Teyssier, S. Tosi, A. Troja, A. Venhola, D. Vergani, G. Vernardos, G. Verza, S. Vinciguerra, N. A. Walton, A. H. Wright, H. W. Yeung

机构 * Department of Physics \& Astronomy, University of California Irvine, Irvine CA 92697, USA aff1 University of Southern California, 3551 Trousdale Parkway, Los Angeles, CA 90089, USA aff2 Dipartimento di Fisica "Aldo Pontremoli", Universit\`a degli Studi di Milano, Via Celoria 16, 20133 Milano, Italy aff3 INAF-IASF Milano, Via Alfonso Corti 12, 20133 Milano, Italy aff4 Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA, 91109, USA aff5 Department of Physics Astronomy, University of British Columbia, Vancouver, BC V6T 1Z1, Canada aff6 INAF-Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, Via Piero Gobetti 93/3, 40129 Bologna, Italy aff7 INFN-Sezione di Bologna, Viale Berti Pichat 6/2, 40127 Bologna, Italy aff8 Dipartimento di Fisica e Astronomia "Augusto Righi" - Alma Mater Studiorum Universit\`a di Bologna, via Piero Gobetti 93/2, 40129 Bologna, Italy aff9 INAF-Osservatorio Astronomico di Capodimonte, Via Moiariello 16, 80131 Napoli, Italy aff10 Institute of Cosmology Gravitation, University of Portsmouth, Portsmouth PO1 3FX, UK aff11 School of Physics, HH Wills Physics Laboratory, University of Bristol, Tyndall Avenue, Bristol, BS8 1TL, UK aff12 Max-Planck-Institut f\"ur Astrophysik, Karl-Schwarzschild-Str. 1, 85748 Garching, Germany aff13 Technical University of Munich, TUM School of Natural Sciences, Physics Department, James-Franck-Str. 1, 85748 Garching, Germany aff14 Departamento F\'isica Aplicada, Universidad Polit\'ecnica de Cartagena, Campus Muralla del Mar, 30202 Cartagena, Murcia, Spain aff15 Aix-Marseille Universit\'e, CNRS, CNES, LAM, Marseille, France aff16 Institut d'Astrophysique de Paris, UMR 7095, CNRS Sorbonne Universit\'e, 98 bis boulevard Arago, 75014 Paris, France aff17 Center for Astrophysics | Harvard \& Smithsonian, 60 Garden St., Cambridge, MA 02138, USA aff18 ESAC/ESA, Camino Bajo del Castillo, s/n., Urb. 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Dunlap Department of Astronomy \& Astrophysics, University of Toronto, 50 St George Street, Toronto, Ontario M5S 3H4, Canada aff26 Jodrell Bank Centre for Astrophysics, Department of Physics Astronomy, University of Manchester, Oxford Road, Manchester M13 9PL, UK aff27 Instituci\'o Catalana de Recerca i Estudis Avan c ats (ICREA), Passeig de Llu\' s Companys 23, 08010 Barcelona, Spain aff28 Institut de Ciencies de l'Espai (IEEC-CSIC), Campus UAB, Carrer de Can Magrans, s/n Cerdanyola del Vall\'es, 08193 Barcelona, Spain aff29 School of Mathematics Physics, University of Surrey, Guildford, Surrey, GU2 7XH, UK aff30 INAF-Osservatorio Astronomico di Brera, Via Brera 28, 20122 Milano, Italy aff31 IFPU, Institute for Fundamental Physics of the Universe, via Beirut 2, 34151 Trieste, Italy aff32 INAF-Osservatorio Astronomico di Trieste, Via G. B. 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Giuria 1, 10125 Torino, Italy aff42 INAF-Osservatorio Astrofisico di Torino, Via Osservatorio 20, 10025 Pino Torinese (TO), Italy aff43 INAF-Osservatorio Astronomico di Roma, Via Frascati 33, 00078 Monteporzio Catone, Italy aff44 INFN-Sezione di Roma, Piazzale Aldo Moro, 2 - c/o Dipartimento di Fisica, Edificio G. Marconi, 00185 Roma, Italy aff45 Centro de Investigaciones Energ\'eticas, Medioambientales y Tecnol\'ogicas (CIEMAT), Avenida Complutense 40, 28040 Madrid, Spain aff46 Port d'Informaci\' o Cient\' i fica, Campus UAB, C. Albareda s/n, 08193 Bellaterra (Barcelona), Spain aff47 Institute for Theoretical Particle Physics Cosmology (TTK), RWTH Aachen University, 52056 Aachen, Germany aff48 Deutsches Zentrum f\"ur Luft- und Raumfahrt e. V. (DLR), Linder H\"ohe, 51147 K\"oln, Germany aff49 INFN section of Naples, Via Cinthia 6, 80126, Napoli, Italy aff50 Dipartimento di Fisica e Astronomia "Augusto Righi" - Alma Mater Studiorum Universit\`a di Bologna, Viale Berti Pichat 6/2, 40127 Bologna, Italy aff51 Instituto de Astrof\' sica de Canarias, E-38205 La Laguna, Tenerife, Spain aff52 Institute for Astronomy, University of Edinburgh, Royal Observatory, Blackford Hill, Edinburgh EH9 3HJ, UK aff53 European Space Agency/ESRIN, Largo Galileo Galilei 1, 00044 Frascati, Roma, Italy aff54 Universit\'e Claude Bernard Lyon 1, CNRS/IN2P3, IP2I Lyon, UMR 5822, Villeurbanne, F-69100, France aff55 UCB Lyon 1, CNRS/IN2P3, IUF, IP2I Lyon, 4 rue Enrico Fermi, 69622 Villeurbanne, France aff56 Mullard Space Science Laboratory, University College London, Holmbury St Mary, Dorking, Surrey RH5 6NT, UK aff57 Departamento de F\'isica, Faculdade de Ci\ encias, Universidade de Lisboa, Edif\'icio C8, Campo Grande, PT1749-016 Lisboa, Portugal aff58 Instituto de Astrof\'isica e Ci\ encias do Espa c o, Faculdade de Ci\ encias, Universidade de Lisboa, Campo Grande, 1749-016 Lisboa, Portugal aff59 Department of Astronomy, University of Geneva, ch. d'Ecogia 16, 1290 Versoix, Switzerland aff60 Universit\'e Paris-Saclay, CNRS, Institut d'astrophysique spatiale, 91405, Orsay, France aff61 INFN-Padova, Via Marzolo 8, 35131 Padova, Italy aff62 Aix-Marseille Universit\'e, CNRS/IN2P3, CPPM, Marseille, France aff63 INAF-Istituto di Astrofisica e Planetologia Spaziali, via del Fosso del Cavaliere, 100, 00100 Roma, Italy aff64 Universit\'e Paris-Saclay, Universit\'e Paris Cit\'e, CEA, CNRS, AIM, 91191, Gif-sur-Yvette, France aff65 INFN-Bologna, Via Irnerio 46, 40126 Bologna, Italy aff66 Institut d'Estudis Espacials de Catalunya (IEEC), Edifici RDIT, Campus UPC, 08860 Castelldefels, Barcelona, Spain aff67 Institute of Space Sciences (ICE, CSIC), Campus UAB, Carrer de Can Magrans, s/n, 08193 Barcelona, Spain aff68 University Observatory, LMU Faculty of Physics, Scheinerstr. 1, 81679 Munich, Germany aff69 FRACTAL S.L.N.E., calle Tulip\'an 2, Portal 13 1A, 28231, Las Rozas de Madrid, Spain aff70 Institute of Theoretical Astrophysics, University of Oslo, P.O. 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Box 64, University of Helsinki, 00014 Helsinki, Finland aff78 Helsinki Institute of Physics, Gustaf H \"a llstr \"o min katu 2, University of Helsinki, 00014 Helsinki, Finland aff79 Laboratoire d'etude de l'Univers et des phenomenes eXtremes, Observatoire de Paris, Universit\'e PSL, Sorbonne Universit\'e, CNRS, 92190 Meudon, France aff80 SKAO, Jodrell Bank, Lower Withington, Macclesfield SK11 9FT, UK aff81 Centre de Calcul de l'IN2P3/CNRS, 21 avenue Pierre de Coubertin 69627 Villeurbanne Cedex, France aff82 University of Applied Sciences Arts of Northwestern Switzerland, School of Computer Science, 5210 Windisch, Switzerland aff83 Universit\"at Bonn, Argelander-Institut f\"ur Astronomie, Auf dem H\"ugel 71, 53121 Bonn, Germany aff84 Department of Physics, Institute for Computational Cosmology, Durham University, South Road, Durham, DH1 3LE, UK aff85 Universit\'e Paris Cit\'e, CNRS, Astroparticule et Cosmologie, 75013 Paris, France aff86 CNRS-UCB International Research Laboratory, Centre Pierre Bin\'etruy, IRL2007, CPB-IN2P3, Berkeley, USA aff87 University of Applied Sciences Arts of Northwestern Switzerland, School of Engineering, 5210 Windisch, Switzerland aff88 Institute of Physics, Laboratory of Astrophysics, Ecole Polytechnique F\'ed\'erale de Lausanne (EPFL), Observatoire de Sauverny, 1290 Versoix, Switzerland aff89 Telespazio UK S.L. for European Space Agency (ESA), Camino bajo del Castillo, s/n, Urbanizacion Villafranca del Castillo, Villanueva de la Ca\ nada, 28692 Madrid, Spain aff90 Institut de F\' i sica d'Altes Energies (IFAE), The Barcelona Institute of Science Technology, Campus UAB, 08193 Bellaterra (Barcelona), Spain aff91 European Space Agency/ESTEC, Keplerlaan 1, 2201 AZ Noordwijk, The Netherlands aff92 School of Mathematics, Statistics Physics, Newcastle University, Herschel Building, Newcastle-upon-Tyne, NE1 7RU, UK aff93 DARK, Niels Bohr Institute, University of Copenhagen, Jagtvej 155, 2200 Copenhagen, Denmark aff94 Waterloo Centre for Astrophysics, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada aff95 Department of Physics Astronomy, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada aff96 Perimeter Institute for Theoretical Physics, Waterloo, Ontario N2L 2Y5, Canada aff97 Space Science Data Center, Italian Space Agency, via del Politecnico snc, 00133 Roma, Italy aff98 Centre National d'Etudes Spatiales -- Centre spatial de Toulouse, 18 avenue Edouard Belin, 31401 Toulouse Cedex 9, France aff99 Institute of Space Science, Str. 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AI总结 本文提出了一种基于CNN的高效强引力透镜识别方法,通过迭代优化和数据增强,从欧几里得Q1数据中识别出441个候选系统,其中311个与现有目录重合,130个为新增,方法可扩展至未来数据发布。

Comments 30 pages, 16 figures

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2406.06408 2026-04-09 stat.ML cs.CR cs.LG math.ST stat.TH

Differentially Private Best-Arm Identification

差分隐私的最佳臂识别

Achraf Azize, Marc Jourdan, Aymen Al Marjani, Debabrota Basu

机构 * FairPlay Joint Team, CREST, ENSAE Paris(FairPlay联合团队,CREST,巴黎高等经济商业学院) EPFL, Lausanne, Switzerland(瑞士洛桑联邦理工学院) Amazon(亚马逊) Univ. Lille, Inria, CNRS, Centrale Lille, UMR 9189 - CRIStAL, F-59000 Lille, France(里尔大学,法国国家信息与自动化研究所,法国国家科学研究中心,中央理工-里尔高等电力学院,UMR 9189 - CRIStAL,法国里尔F-59000)

AI总结 本文研究在差分隐私下最佳臂识别问题,提出CTB-TT和AdaP-TT*算法,在高隐私和低隐私情况下分别达到最优样本复杂度下界。

Comments 85 pages, 5 figures, 3 tables, 11 algorithms. To be published in the Journal of Machine Learning Research 27. This journal paper is an extended version of the conference paper Azize et al. ("On the Complexity of Differentially Private Best-Arm Identification with Fixed Confidence", NeurIPS 2023)

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2604.07240 2026-04-09 cs.MS cs.AI cs.LG

$k$-server-bench: Automating Potential Discovery for the $k$-Server Conjecture

$k$-server-bench: 自动化潜在函数发现用于 $k$-server 猜想

Kirill Brilliantov, Etienne Bamas, Emmanuel Abbé

机构 * MDS Lab, EPFL(EPFL MDS实验室)

AI总结 本文提出一个基于 $k$-server 猜想的代码挑战,旨在发现满足大规模图结构简单线性不等式的潜在函数,通过实验展示当前方法在 $k=3$ 和 $k=4$ 情况下的表现,为理论研究和代码发现代理提供基准。

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2412.00727 2026-04-08 cs.LG cs.CR cs.CV

Perturb and Recover: Fine-tuning for Effective Backdoor Removal from CLIP

扰动与恢复:用于从CLIP中有效移除后门的微调

Naman Deep Singh, Francesco Croce, Matthias Hein

机构 * University of Tübingen & Tübingen AI Center(蒂宾根大学 & 蒂宾根人工智能中心) EPFL(瑞士联邦理工学院洛桑)

AI总结 本文提出PAR机制,通过微调有效移除CLIP中的后门,实验表明其在不同编码器和攻击类型上均能保持良好性能,且无需真实训练数据。

Comments CVPR 2026 Findings

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2604.04482 2026-04-07 cs.AI

Scalable and Explainable Learner-Video Interaction Prediction using Multimodal Large Language Models

基于多模态大语言模型的可扩展且可解释的学习者-视频交互预测

Dominik Glandorf, Fares Fawzi, Tanja Käser

机构 * EPFL(瑞士联邦理工学院洛桑)

AI总结 本文提出利用多模态大语言模型预测学习者观看、暂停、跳过和回放行为,以评估视频内容的认知负荷,通过7700万次视频控制事件验证了模型的可扩展性和解释性。

Comments Accepted as long paper to the 27th International Conference on Artificial Intelligence in Education (AIED 2026)

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2604.04196 2026-04-07 cs.RO cs.AI

Robots Need Some Education: On the complexity of learning in evolutionary robotics

机器人需要一些教育:关于在进化机器人学中学习复杂性的研究

Fuda van Diggelen

机构 * University of Oslo(奥斯陆大学) École Polytechnique Fédérale de Lausanne(洛桑联邦理工学院) Leiden University(莱顿大学) Edinburgh Napier University(爱丁堡龙比亚大学) Vrije Universiteit Amsterdam(阿姆斯特丹自由大学)

AI总结 本文探讨了在进化机器人学中整合学习技术的复杂性,提出并分析了多种学习算法以优化机器人控制器设计。

Comments PhD thesis

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2603.13285 2026-04-07 cs.LG cs.AI

Brittlebench: Quantifying LLM robustness via prompt sensitivity

Brittlebench: 通过提示敏感性量化大语言模型的鲁棒性

Angelika Romanou, Mark Ibrahim, Candace Ross, Chantal Shaib, Kerem Oktar, Samuel J. Bell, Anaelia Ovalle, Jesse Dodge, Antoine Bosselut, Koustuv Sinha, Adina Williams

机构 * FAIR at Meta(Meta FAIR) EPFL(瑞士联邦理工学院洛桑) Northeastern University(东北大学)

AI总结 本文提出Brittlebench框架,通过提示变异量化大语言模型的鲁棒性,揭示模型在真实输入下的性能波动,强调对更鲁棒模型和评估的需求。

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