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California Institute of Technology(加州理工学院)

共收录 457
2604.25572 2026-04-29 math.DS cs.LG

Dictionary learning for Kernel EDMD

基于核的扩展动态模式分解的字典学习

Erik Lien Bolager, Boumediene Hamzi, Houman Owhadi, Ioannis G. Kevrekidis, Felix Dietrich

机构 * School of Computation, Information and Technology, Munich Data Science Institute, Munich Center for Machine Learning, Technical University of Munich, Germany(慕尼黑计算、信息与技术学院,慕尼黑数据科学研究所,慕尼黑机器学习中心,技术大学慕尼黑,德国) Department of Computing and Mathematical Sciences, Caltech, USA(计算与数学科学部,加州理工学院,美国) The Alan Turing Institute, UK(艾伦·图灵研究所,英国) Departments of Chemical and Biomolecular Engineering and of Applied Mathematics and Statistics, Johns Hopkins University, USA(化学与生物分子工程系和应用数学与统计学系,约翰霍普金斯大学,美国)

AI总结 本文提出通过字典学习优化核参数,改进核扩展动态模式分解以更高效逼近Koopman算子,通过去除不重要核函数提升性能。

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2602.11079 2026-04-28 cs.LG cs.AI

Probe-Based Data Attribution: Discovering and Mitigating Undesirable Behaviors in LLM Post-Training

基于探针的数据归因:发现并缓解LLM微调后的不良行为

Frank Xiao, Santiago Aranguri

机构 * California Institute of Technology(加利福尼亚理工学院)

AI总结 本文提出基于探针的数据归因方法,通过分析测试提示和偏好对的激活差异向量,识别导致特定行为的数据点,并通过重新训练验证归因。该方法在OLMo 2的生产DPO训练中发现有害行为,过滤数据点可显著减少此类行为。

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2604.21066 2026-04-28 cs.CV cs.LG stat.ME

Optimizing Diffusion Priors in Image Reconstruction from a Single Observation

从单个观测重建图像中优化扩散先验

Frederic Wang, Katherine L. Bouman

机构 * Caltech(加州理工学院)

AI总结 本文提出通过结合现有扩散先验生成单专家先验并优化指数,以提升单观测图像重建的可靠性,验证了在黑洞成像和文本条件去模糊中效果。

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2603.12365 2026-04-28 cond-mat.mtrl-sci cs.LG cs.NA math.NA physics.comp-ph stat.CO

Optimal Experimental Design for Reliable Learning of History-Dependent Constitutive Laws

为可靠学习历史依赖型本构定律的最优实验设计

Kaushik Bhattacharya, Lianghao Cao, Andrew Stuart

机构 * California Institute of Technology(加利福尼亚理工学院)

AI总结 本文提出基于贝叶斯的最优实验设计框架,通过模拟数据优化实验设计,提高参数识别可靠性,尤其对记忆效应相关参数有显著提升。

Journal ref Computer Methods in Applied Mechanics and Engineering, Volume 457, 2026, 119022, ISSN 0045-7825

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2604.22293 2026-04-27 cs.AR cs.LG hep-ex

HGQ-LUT: Fast LUT-Aware Training and Efficient Architectures for DNN Inference

HGQ-LUT:用于DNN推理的快速LUT感知训练和高效架构

Chang Sun, Zhiqiang Que, Bakhtiar Zadeh, Qibin Liu, Kevin H. Alvarez, Wayne Luk, Maria Spiropulu

机构 * California Institute of Technology, Pasadena, CA, USA(加州理工学院) University of Bristol, UK(布里斯托大学) Imperial College London, UK(伦敦帝国理工学院) SLAC National Accelerator Laboratory, Menlo Park, CA, USA(SLAC国家加速器实验室)

AI总结 HGQ-LUT通过引入LUT-Dense和LUT-Conv层及精细化量化,实现高效硬件效率和加速训练,支持混合架构的一体化设计与验证。

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2604.22193 2026-04-27 cs.CL

How Large Language Models Balance Internal Knowledge with User and Document Assertions

大型语言模型如何在内部知识与用户和文档断言之间取得平衡

Shuowei Li, Haoxin Li, Wenda Chu, Yi Fang

机构 * Santa Clara University(圣克拉拉大学) Nanyang Technological University(南洋理工大学) California Institute of Technology(加州理工学院)

AI总结 本文研究了大型语言模型在处理内部知识与外部信息时的平衡问题,提出三源交互框架,评估27个模型,发现模型更依赖文档断言,且通过微调可提升其区分能力。

Comments Findings of ACL 2026

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2604.22045 2026-04-27 cs.CV cs.AI

H-Sets: Hessian-Guided Discovery of Set-Level Feature Interactions in Image Classifiers

H-Sets: 基于Hessian的图像分类器中集合级特征交互发现

Ayushi Mehrotra, Dipkamal Bhusal, Michael Clifford, Nidhi Rastogi

机构 * California Institute of Technology(加州理工学院) Rochester Institute of Technology(罗切斯特理工学院) Toyota InfoTech Labs(丰田信息科技实验室)

AI总结 本文提出H-Sets框架,通过Hessian检测局部交互对并递归合并为语义连贯的集合,结合IDG-Vis进行集合级特征交互归因,生成更可解释且忠实的显著性图。

Comments CVPR 2026

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2507.04535 2026-04-27 cs.AR cs.LG hep-ex

da4ml: Distributed Arithmetic for Real-time Neural Networks on FPGAs

da4ml:FPGA上的实时神经网络分布式算术

Chang Sun, Zhiqiang Que, Vladimir Loncar, Wayne Luk, Maria Spiropulu

机构 * California Institute of Technology(加利福尼亚技术研究所) Imperial College London(伦敦帝国理工学院) CERN(欧洲核子研究中心) Institute of Physics Belgrade(贝尔格莱德物理研究所)

AI总结 本文提出一种高效算法,用于在FPGA上实现常数矩阵向量乘法,同时优化面积和延迟,减少芯片资源并降低延迟,使之前不可行的网络得以实现。

Journal ref ACM Trans. Reconfig. Technol. Syst., Vol. 19, No. 1, Article 13. (March 2026)

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2604.21256 2026-04-24 cs.AI

Robustness Analysis of POMDP Policies to Observation Perturbations

POMDP策略对观测扰动的鲁棒性分析

Benjamin Kraske, Qi Heng Ho, Federico Rossi, Morteza Lahijanian, Zachary Sunberg

机构 * University of Colorado Boulder(科罗拉多大学博尔德分校) Virginia Tech(弗吉尼亚理工大学) Jet Propulsion Laboratory(喷气推进实验室) California Institute of Technology(加州理工学院)

AI总结 研究POMDP策略在观测模型偏差下的鲁棒性,提出政策观测鲁棒性问题,并设计Robust Interval Search算法,验证其在大规模POMDP问题中的有效性。

Comments 43 Pages

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2604.21189 2026-04-24 cs.RO

Full-Body Dynamic Safety for Robot Manipulators: 3D Poisson Safety Functions for CBF-Based Safety Filters

机器人机械臂的全身动态安全性:基于CBF的安全过滤器中的3D泊松安全函数

Meg Wilkinson, Gilbert Bahati, Ryan M. Bena, Emily Fourney, Joel W. Burdick, Aaron D. Ames

机构 * Computing and Mathematical Sciences, California Institute of Technology(加州理工学院计算与数学科学系) Mechanical and Civil Engineering, California Institute of Technology(加州理工学院机械与土木工程系)

AI总结 本文提出利用3D泊松安全函数实现机器人机械臂在动态环境中的全身避障,通过求解泊松方程生成全局平滑的CBF,确保任务空间的安全约束。

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2511.17085 2026-04-24 cs.LG cs.AI

Why Do Language Model Agents Whistleblow?

为何语言模型代理会泄露信息?

Kushal Agrawal, Frank Xiao, Guido Bergman, Asa Cooper Stickland

机构 * Relativity California Institute of Technology(加州理工学院) BAISH

AI总结 研究探讨了语言模型在作为工具使用代理时的对齐训练新表现,发现模型可能在无用户指令的情况下披露疑似违规行为,通过多样化场景评估发现模型泄露行为受模型家族、任务复杂度、道德提示和工具提供影响。

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2604.18887 2026-04-22 cs.RO cs.SY eess.SY

HALO: Hybrid Auto-encoded Locomotion with Learned Latent Dynamics, Poincaré Maps, and Regions of Attraction

HALO:混合自动编码 locomotion 与学习的潜在动态、庞加莱映射和吸引区域

Blake Werner, Sergio A. Esteban, Massimiliano De Sa, Max H. Cohen, Aaron D. Ames

机构 * Caltech(加州理工学院) NC State University(北卡罗来纳州立大学)

AI总结 HALO通过从轨迹数据中学习低维潜在线性模型,结合庞加莱映射和吸引区域分析,提升混合动力系统稳定性与安全性。

Comments 20 pages, 8 figures

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2602.11631 2026-04-22 physics.geo-ph cs.LG

Enforcing Reciprocity in Operator Learning for Seismic Wave Propagation

在地震波传播中强制互易性于操作学习

Caifeng Zou, Yaozhong Shi, Zachary E. Ross, Robert W. Clayton, Kamyar Azizzadenesheli

机构 * Seismological Laboratory, California Institute of Technology, Pasadena, California, U.S.A.(地震实验室,加州理工学院,帕萨迪纳,加利福尼亚州,美国) Division of Engineering and Applied Sciences, California Institute of Technology, Pasadena, California, U.S.A.(工程与应用科学学院,加州理工学院,帕萨迪纳,加利福尼亚州,美国) Nvidia Corporation, Santa Clara, California, U.S.A.(英伟达公司,圣克拉拉,加利福尼亚州,美国)

AI总结 本文提出基于变换器的Reciprocity-Enforced Neural Operator,通过强制互易性原则提升物理一致性,实现多源同时处理并加速推理速度。

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2512.06987 2026-04-21 cs.LG cond-mat.mtrl-sci

OXtal: An All-Atom Diffusion Model for Organic Crystal Structure Prediction

OXtal:一种用于有机晶体结构预测的全原子扩散模型

Emily Jin, Andrei Cristian Nica, Mikhail Galkin, Jarrid Rector-Brooks, Kin Long Kelvin Lee, Santiago Miret, Frances H. Arnold, Michael Bronstein, Avishek Joey Bose, Alexander Tong, Cheng-Hao Liu

机构 * University of Oxford(牛津大学) Synteny Google(谷歌) Mila Université de Montréal(蒙特利尔大学) Caltech(加州理工学院) NVIDIA(英伟达) Lila AITHYRA FutureHouse Imperial College London(伦敦帝国学院)

AI总结 OXtal通过全原子扩散模型直接学习分子构象与周期性排列的联合分布,利用数据增强策略提升效率,实现对晶体结构的高精度预测,显著优于传统方法。

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2604.17156 2026-04-21 cs.LG physics.comp-ph

Uncertainty Quantification in PINNs for Turbulent Flows: Bayesian Inference and Repulsive Ensembles

PINNs在湍流中的不确定性量化:贝叶斯推断与斥力集合

Khemraj Shukla, Zongren Zou, Theo Kaeufer, Michael Triantafyllou, George Em Karniadakis

机构 * Division of Applied Mathematics, Brown University(布朗大学应用数学系) Department of Computing and Mathematical Sciences, California Institute of Technology(加州理工学院计算与数学科学系) Department of Mechanical Engineering, Massachusetts Institute of Technology(麻省理工学院机械工程系)

AI总结 本文提出了一种概率扩展的PINN框架,结合贝叶斯方法、麦克斯韦-玻尔兹曼抽样和斥力深度集合,以提高湍流建模中的不确定性校准,通过Van der Pol振荡器和圆柱绕流测试案例验证了其有效性。

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2512.01015 2026-04-21 cs.LG math.DS math.FA

Upper Approximation Bounds for Neural Oscillators

神经振荡器的上近似界限

Zifeng Huang, Konstantin M. Zuev, Yong Xia, Michael Beer

机构 * organization= Institute for Risk Reliability, Leibniz University Hannover , addressline= Callinstraße 34 , city= Hannover , postcode= 30167 , country= Germany organization= Department of Civil Environmental Engineering, The Hong Kong Polytechnic University , addressline= Kowloon , city= Hong Kong , country= China organization= Department of Computing Mathematical Sciences, California Institute of Technology , city= Pasadena , state= California , country= United States organization= Guangdong-Hong Kong Joint Research Laboratory for Marine Infrastructure, The Hong Kong Polytechnic University , addressline= Kowloon , city= Hong Kong , country= China Environmental Engineering, University of Liverpool , city= Liverpool , postcode= L69 3GH , country= United Kingdom organization= International Joint Research Center for Resilient Infrastructure \& International Joint Research Center for Engineering Reliability Stochastic Mechanics, Tongji University , city= Shanghai , postcode= 200092 , country= China

AI总结 本文研究了由二阶常微分方程和多层感知机组成的神经振荡器,推导了其在近似因果连续算子和二阶动力系统中的上近似界限,并验证了收敛速率。

Comments 37 pages, 11 figures

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2604.16842 2026-04-21 math.NA cs.LG cs.NA math.AP

Singularity Formation: Synergy in Theoretical, Numerical and Machine Learning Approaches

奇点形成:理论、数值和机器学习方法的协同作用

Yixuan Wang

机构 * CALIFORNIA INSTITUTE OF TECHNOLOGY(加州理工学院)

AI总结 本文通过理论、数值和机器学习方法研究偏微分方程中的奇点形成问题,提出新的分析框架和数值方法,提升对复杂方程中奇点形成机制的理解与预测能力。

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2501.05281 2026-04-20 cs.CV cs.LG

Comparison Study: Glacier Calving Front Delineation in Synthetic Aperture Radar Images With Deep Learning

比较研究:利用深度学习在合成孔径雷达图像中进行冰川崩解前端 delineation

Nora Gourmelon, Konrad Heidler, Erik Loebel, Daniel Cheng, Julian Klink, Anda Dong, Fei Wu, Noah Maul, Moritz Koch, Marcel Dreier, Dakota Pyles, Thorsten Seehaus, Matthias Braun, Andreas Maier, Vincent Christlein

机构 * Department of Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg(弗里德里希-亚历山大-埃朗根-纽伦堡大学计算机科学系) School of Engineering and Design, Technische Universität München(慕尼黑技术大学工程与设计学院) Institut für Planetare Geodäsie, Technische Universität Dresden(德累斯顿技术大学行星大地测量研究所) Jet Propulsion Laboratory, California Institute of Technology(加州理工学院喷气推进实验室) Institut für Geographie, Friedrich-Alexander-Universität Erlangen-Nürnberg(弗里德里希-亚历山大-埃朗根-纽伦堡大学地理研究所)

AI总结 本研究比较了深度学习系统在合成孔径雷达图像中进行冰川崩解前端 delineation 的性能,发现深度学习系统存在高达221米的误差,而人工标注者误差仅为38米,凸显了进一步研究的必要性。

Comments Accepted as short paper in IEEE Transactions on Pattern Analysis and Machine Intelligence

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2602.15472 2026-04-16 physics.flu-dyn cs.LG

Fluids You Can Trust: Property-Preserving Operator Learning for Incompressible Flows

你可以信任的流体:用于不可压缩流动的属性保持运算学习

Ramansh Sharma, Matthew Lowery, Houman Owhadi, Varun Shankar

机构 * Kahlert School of Computing(卡勒特计算学校) University of Utah(犹他大学) Department of Computing and Mathematical Sciences(计算与数学科学系) California Institute of Technology(加州理工学院)

AI总结 本文提出了一种新的属性保持核运算学习方法,用于求解由不可压缩纳维-斯托克斯方程支配的不可压缩流动。该方法通过核基底将输入函数映射到输出函数的展开系数,确保预测速度场同时保持物理属性。实验表明,该方法在通用化时相对ℓ₂误差低至六量级,训练速度比神经运算快五量级。

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2604.11118 2026-04-14 cs.LG stat.ML

Distributionally Robust K-Means Clustering

分布鲁棒K均值聚类

Vikrant Malik, Taylan Kargin, Babak Hassibi

机构 * California Institute of Technology(加州理工学院) Massachusetts Institute of Technology(麻省理工学院)

AI总结 本文提出分布鲁棒K均值聚类方法,通过最小化最坏情况下的期望平方距离来增强鲁棒性,实验显示在异常检测和噪声鲁棒性上有显著提升。

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2604.09855 2026-04-14 cs.AI cs.CL cs.GT econ.GN q-fin.EC

Instructing LLMs to Negotiate using Reinforcement Learning with Verifiable Rewards

通过可验证奖励的强化学习指导大语言模型进行谈判

Shuze Daniel Liu, Claire Chen, Jiabao Sean Xiao, Lei Lei, Yuheng Zhang, Yisong Yue, David Simchi-Levi

机构 * Purdue University(普渡大学) California Institute of Technology(加州理工学院) University of Illinois Urbana-Champaign(伊利诺伊大学厄巴纳-香槟分校) Massachusetts Institute of Technology(麻省理工学院)

AI总结 本文探讨了通过可验证奖励的强化学习训练大语言模型进行谈判的有效性,揭示了四阶段战略演化,展示了训练后的模型在谈判中提取剩余价值的能力。

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2604.09584 2026-04-14 cs.AI cs.CV

Agentic Exploration of PDE Spaces using Latent Foundation Models for Parameterized Simulations

基于潜在基础模型的PDE空间代理探索用于参数化模拟

Abhijeet Vishwasrao, Francisco Giral, Mahmoud Golestanian, Federica Tonti, Andrea Arroyo Ramo, Adrian Lozano-Duran, Steven L. Brunton, Sergio Hoyas, Soledad Le Clainche, Hector Gomez, Ricardo Vinuesa

机构 * University of Michigan(密歇根大学) Universidad Politécnica de Madrid(马德里理工大学) Purdue University(普渡大学) Universitat Politècnica de València(瓦伦西亚理工大学) Caltech(加州理工学院) University of Washington(华盛顿大学)

AI总结 本文提出利用多代理LLM与潜在基础模型耦合,实现对PDE参数空间的连续探索,发现流体中不同尺度的标度律,展示了代理推理在PDE系统中的自动化科学发现能力。

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2604.07639 2026-04-10 quant-ph cs.AI cs.CC cs.IT cs.LG math.IT

Exponential quantum advantage in processing massive classical data

指数级量子优势在处理大规模经典数据中的应用

Haimeng Zhao, Alexander Zlokapa, Hartmut Neven, Ryan Babbush, John Preskill, Jarrod R. McClean, Hsin-Yuan Huang

机构 * California Institute of Technology(加州理工学院) Google Quantum AI(谷歌量子人工智能) Massachusetts Institute of Technology(麻省理工学院) Oratomic

AI总结 本文证明了小型量子计算机可通过实时处理样本实现大规模分类和降维,而经典计算机需指数级更大规模才能达到相同性能,且在实际应用中展示了显著的效率提升。

Comments 144 pages, including 9 pages of main text and 10 figures. Code available at https://github.com/haimengzhao/quantum-oracle-sketching

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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. Villafranca del Castillo, 28692 Villanueva de la Ca\ nada, Madrid, Spain aff19 Universit\'e de Gen\`eve, D\'epartement de Physique Th\'eorique Centre for Astroparticle Physics, 24 quai Ernest-Ansermet, CH-1211 Gen\`eve 4, Switzerland aff20 Lawrence Berkeley National Laboratory, One Cyclotron Road, Berkeley, CA 94720, USA aff21 Max Planck Institute for Extraterrestrial Physics, Giessenbachstr. 1, 85748 Garching, Germany aff22 Universit\"ats-Sternwarte M\"unchen, Fakult\"at f\"ur Physik, Ludwig-Maximilians-Universit\"at M\"unchen, Scheinerstr. 1, 81679 M\"unchen, Germany aff23 STAR Institute, University of Li \`e ge, Quartier Agora, All\'ee du six Ao\ ut 19c, 4000 Li\`ege, Belgium aff24 Institut de Ci\` e ncies del Cosmos (ICCUB), Universitat de Barcelona (IEEC-UB), Mart\' i i Franqu\` e s 1, 08028 Barcelona, Spain aff25 David A. 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. Tiepolo 11, 34143 Trieste, Italy aff33 INFN, Sezione di Trieste, Via Valerio 2, 34127 Trieste TS, Italy aff34 SISSA, International School for Advanced Studies, Via Bonomea 265, 34136 Trieste TS, Italy aff35 Dipartimento di Fisica e Astronomia, Universit\`a di Bologna, Via Gobetti 93/2, 40129 Bologna, Italy aff36 INAF-Osservatorio Astronomico di Padova, Via dell'Osservatorio 5, 35122 Padova, Italy aff37 Dipartimento di Fisica, Universit\`a di Genova, Via Dodecaneso 33, 16146, Genova, Italy aff38 INFN-Sezione di Genova, Via Dodecaneso 33, 16146, Genova, Italy aff39 Department of Physics "E. Pancini", University Federico II, Via Cinthia 6, 80126, Napoli, Italy aff40 Dipartimento di Fisica, Universit\`a degli Studi di Torino, Via P. Giuria 1, 10125 Torino, Italy aff41 INFN-Sezione di Torino, Via P. 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. Box 1029 Blindern, 0315 Oslo, Norway aff71 Felix Hormuth Engineering, Goethestr. 17, 69181 Leimen, Germany aff72 Technical University of Denmark, Elektrovej 327, 2800 Kgs. Lyngby, Denmark aff73 Cosmic Dawn Center (DAWN), Denmark aff74 Max-Planck-Institut f\"ur Astronomie, K\"onigstuhl 17, 69117 Heidelberg, Germany aff75 NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA aff76 Department of Physics Astronomy, University College London, Gower Street, London WC1E 6BT, UK aff77 Department of Physics, P.O. 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. Atomistilor, nr. 409 M a gurele, Ilfov, 077125, Romania aff100 Dipartimento di Fisica e Astronomia "G. Galilei", Universit\`a di Padova, Via Marzolo 8, 35131 Padova, Italy aff101 Instituto de F\'isica Te\'orica UAM-CSIC, Campus de Cantoblanco, 28049 Madrid, Spain aff102 Institut de Recherche en Astrophysique et Plan\'etologie (IRAP), Universit\'e de Toulouse, CNRS, UPS, CNES, 14 Av. 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California Blvd., Pasadena, CA 91125, USA aff113 Dipartimento di Fisica e Scienze della Terra, Universit\`a degli Studi di Ferrara, Via Giuseppe Saragat 1, 44122 Ferrara, Italy aff114 Istituto Nazionale di Fisica Nucleare, Sezione di Ferrara, Via Giuseppe Saragat 1, 44122 Ferrara, Italy aff115 INAF, Istituto di Radioastronomia, Via Piero Gobetti 101, 40129 Bologna, Italy aff116 Astronomical Observatory of the Autonomous Region of the Aosta Valley (OAVdA), Loc. Lignan 39, I-11020, Nus (Aosta Valley), Italy aff117 Universit\'e C\ o te d'Azur, Observatoire de la C\ o te d'Azur, CNRS, Laboratoire Lagrange, Bd de l'Observatoire, CS 34229, 06304 Nice cedex 4, France aff118 ICSC - Centro Nazionale di Ricerca in High Performance Computing, Big Data e Quantum Computing, Via Magnanelli 2, Bologna, Italy aff119 Department of Physics, Oxford University, Keble Road, Oxford OX1 3RH, UK aff120 Univ. Grenoble Alpes, CNRS, Grenoble INP, LPSC-IN2P3, 53, Avenue des Martyrs, 38000, Grenoble, France aff121 Dipartimento di Fisica, Sapienza Universit\`a di Roma, Piazzale Aldo Moro 2, 00185 Roma, Italy aff122 Aurora Technology for European Space Agency (ESA), Camino bajo del Castillo, s/n, Urbanizacion Villafranca del Castillo, Villanueva de la Ca\ nada, 28692 Madrid, Spain aff123 Dipartimento di Fisica - Sezione di Astronomia, Universit\`a di Trieste, Via Tiepolo 11, 34131 Trieste, Italy aff124 Department of Mathematics Physics E. 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Astrof\' sica, E-38206 La Laguna, Tenerife, Spain aff139 Ruhr University Bochum, Faculty of Physics Astronomy, Astronomical Institute (AIRUB), German Centre for Cosmological Lensing (GCCL), 44780 Bochum, Germany aff140 Department of Physics Astronomy, Vesilinnantie 5, University of Turku, 20014 Turku, Finland aff141 Finnish Centre for Astronomy with ESO (FINCA), Quantum, Vesilinnantie 5, University of Turku, 20014 Turku, Finland aff142 Serco for European Space Agency (ESA), Camino bajo del Castillo, s/n, Urbanizacion Villafranca del Castillo, Villanueva de la Ca\ nada, 28692 Madrid, Spain aff143 ARC Centre of Excellence for Dark Matter Particle Physics, Melbourne, Australia aff144 Centre for Astrophysics \& Supercomputing, Swinburne University of Technology, Hawthorn, Victoria 3122, Australia aff145 Department of Physics Astronomy, University of the Western Cape, Bellville, Cape Town, 7535, South Africa aff146 Departement of Theoretical Physics, University of Geneva, Switzerland aff147 Department of Physics, Centre for Extragalactic Astronomy, Durham University, South Road, Durham, DH1 3LE, UK aff148 IRFU, CEA, Universit\'e Paris-Saclay 91191 Gif-sur-Yvette Cedex, France aff149 Institute for Astronomy, University of Hawaii, 2680 Woodlawn Drive, Honolulu, HI 96822, USA aff150 INAF-Osservatorio Astrofisico di Arcetri, Largo E. Fermi 5, 50125, Firenze, Italy aff151 Centro de Astrof\' sica da Universidade do Porto, Rua das Estrelas, 4150-762 Porto, Portugal aff152 Instituto de Astrof\'isica e Ci\ encias do Espa c o, Universidade do Porto, CAUP, Rua das Estrelas, PT4150-762 Porto, Portugal aff153 HE Space for European Space Agency (ESA), Camino bajo del Castillo, s/n, Urbanizacion Villafranca del Castillo, Villanueva de la Ca\ nada, 28692 Madrid, Spain aff154 Department of Astrophysics, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland aff155 INAF - Osservatorio Astronomico d'Abruzzo, Via Maggini, 64100, Teramo, Italy aff156 Theoretical astrophysics, Department of Physics Astronomy, Uppsala University, Box 516, 751 37 Uppsala, Sweden aff157 Minnesota Institute for Astrophysics, University of Minnesota, 116 Church St SE, Minneapolis, MN 55455, USA aff158 Mathematical Institute, University of Leiden, Einsteinweg 55, 2333 CA Leiden, The Netherlands aff159 Leiden Observatory, Leiden University, Einsteinweg 55, 2333 CC Leiden, The Netherlands aff160 Institute of Astronomy, University of Cambridge, Madingley Road, Cambridge CB3 0HA, UK aff161 Center for Astrophysics Cosmology, University of Nova Gorica, Nova Gorica, Slovenia aff162 Institute for Particle Physics Astrophysics, Dept. of Physics, ETH Zurich, Wolfgang-Pauli-Strasse 27, 8093 Zurich, Switzerland aff163 Department of Astrophysical Sciences, Peyton Hall, Princeton University, Princeton, NJ 08544, USA aff164 Space physics astronomy research unit, University of Oulu, Pentti Kaiteran katu 1, FI-90014 Oulu, Finland aff165 Department of Physics Astronomy, Lehman College of the CUNY, Bronx, NY 10468, USA aff166 American Museum of Natural History, Department of Astrophysics, New York, NY 10024, USA aff167 International Centre for Theoretical Physics (ICTP), Strada Costiera 11, 34151 Trieste, Italy aff168 Center for Computational Astrophysics, Flatiron Institute, 162 5th Avenue, 10010, New York, NY, USA aff169

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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2604.05181 2026-04-08 cs.LG

General Multimodal Protein Design Enables DNA-Encoding of Chemistry

通用多模态蛋白质设计使化学编码成为可能

Jarrid Rector-Brooks, Théophile Lambert, Marta Skreta, Daniel Roth, Yueming Long, Zi-Qi Li, Xi Zhang, Miruna Cretu, Francesca-Zhoufan Li, Tanvi Ganapathy, Emily Jin, Avishek Joey Bose, Jason Yang, Kirill Neklyudov, Yoshua Bengio, Alexander Tong, Frances H. Arnold, Cheng-Hao Liu

机构 * California Institute of Technology(加州理工学院) Mila – Québec AI Institute(Mila – 魁北克人工智能研究所) Université de Montréal(蒙特利尔大学) Université Paris-Saclay(巴黎-萨克雷大学) McGill University(麦吉尔大学) University of Cambridge(剑桥大学) University of Oxford(牛津大学) Imperial College London(伦敦帝国理工学院) Institut Courtois(库尔图瓦研究所) LawZero AITHYRA FutureHouse

AI总结 DISCO模型通过多模态设计实现蛋白质序列和三维结构的协同优化,能够设计出新型血红素酶,催化新的化学反应,拓展了遗传编码转化的潜力。

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2412.08079 2026-04-08 cs.LG cs.NA math.NA physics.ao-ph

Regional climate risk assessment from climate models using probabilistic machine learning

基于气候模型的区域气候风险评估:利用概率机器学习

Zhong Yi Wan, Ignacio Lopez-Gomez, Robert Carver, Tapio Schneider, John Anderson, Fei Sha, Leonardo Zepeda-Núñez

机构 * Google Research(谷歌研究院) California Institute of Technology(加州理工学院) General Motors Sunnyvale Tech Center(通用汽车桑尼维尔技术中心) Meta

AI总结 本文提出GenFocal框架,通过概率机器学习生成高精度区域天气数据,解决粗分辨率气候模型与区域决策需求之间的矛盾,提升气候适应与韧性策略。

Comments 125 pages

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2604.02719 2026-04-06 cs.CV cs.AI cs.LG

MOMO: Mars Orbital Model Foundation Model for Mars Orbital Applications

MOMO:用于火星轨道应用的火星轨道基础模型

Mirali Purohit, Bimal Gajera, Irish Mehta, Bhanu Tokas, Jacob Adler, Steven Lu, Scott Dickenshied, Serina Diniega, Brian Bue, Umaa Rebbapragada, Hannah Kerner

机构 * Arizona State University(亚利桑那州立大学) Jet Propulsion Laboratory, California Institute of Technology(加州理工学院喷气推进实验室)

AI总结 MOMO是首个多传感器基础模型,通过模型融合整合来自HiRISE、CTX和THEMIS三种关键火星传感器的数据,提升多分辨率数据的稳定性和泛化能力。

Comments Accepted at CVPR 2026 (Main Track)

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2604.02488 2026-04-06 cs.LG

Causal-Audit: A Framework for Risk Assessment of Assumption Violations in Time-Series Causal Discovery

因果审计:时间序列因果发现中假设违反风险评估的框架

Marco Ruiz, Miguel Arana-Catania, David R. Ardila, Rodrigo Ventura

机构 * Institute for Systems and Robotics, Instituto Superior Técnico(系统与机器人研究所,里斯本高等理工学院) Digital Scholarship at Oxford, University of Oxford(牛津大学数字学术中心) Jet Propulsion Laboratory, California Institute of Technology(加州理工学院喷气推进实验室)

AI总结 本文提出Causal-Audit框架,用于评估时间序列因果发现中假设违反的风险。通过计算五个假设家族的效果大小诊断,生成校准风险评分,并应用考虑回避的决策策略,以减少误判。

Comments 28 pages, 10 figures, 15 tables. Being submitted to Journal of Causal Inference JCI

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2510.02513 2026-04-06 stat.ML cs.DS cs.LG cs.NA math.NA stat.CO

Adaptive randomized pivoting and volume sampling

自适应随机 pivoting 和体积采样

Ethan N. Epperly

机构 * University of California Berkeley(加州大学伯克利分校) Caltech(加州理工学院)

AI总结 本文将自适应随机 pivoting 算法与体积采样分布及线性回归主动学习算法联系起来,提出新的分析和更高效的实现方法。

Comments 14 pages, 2 figures

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2603.20359 2026-04-03 stat.ML cs.LG cs.NA math.DS math.NA

Operator Learning for Smoothing and Forecasting

运算学习用于平滑与预测

Edoardo Calvello, Elizabeth Carlson, Nikola Kovachki, Michael N. Manta, Andrew M. Stuart

机构 * California Institute of Technology(加州理工学院) Oregon State University(俄勒冈州立大学) NVIDIA Corporation(英伟达公司) Stanford University(斯坦福大学)

AI总结 本文提出一种理论框架,用于支持数据驱动方法解决数据同化和平滑问题。通过研究运算学习架构的性质,建立新的通用逼近定理,适用于连续时间动态系统的平滑与预测。

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