University of California, San Diego（加州大学圣迭戈分校）

Generating Robot Hands from Human Demonstrations

从人类演示生成机器人手

Sha Yi, Nicklas Hansen, Xueqian Bai, Carmelo Sferrazza, Michael T. Tolley, Xiaolong Wang

机构 * University of California San Diego（加州大学圣迭戈分校） ； Amazon Frontier AI & Robotics（亚马逊前沿人工智能与机器人） 纠错

AI总结 提出数据驱动框架，利用人类日常操作中超过400万帧指尖运动数据，通过逆运动学匹配指尖位置，优化树状结构机器人手的设计，生成通用6自由度手和低自由度任务专用手，并训练强化学习智能体加速设计搜索。

Multimodal Concept Bottleneck Models

多模态概念瓶颈模型

Tongqing Shi, Ge Yan, Tuomas Oikarinen, Tsui-Wei Weng

机构 * UC San Diego（加州大学圣地亚哥分校） 纠错

AI总结 提出多模态概念瓶颈模型（MM-CBM），利用双概念瓶颈层对齐图像和文本嵌入，实现可解释的零样本分类和图像检索，在四个基准上平均准确率提升高达51.26%。

Comments Present at NeurIPS 2025 Mechanistic Interpretability Workshop

Manifold Bandits: Bayesian Curriculum Learning over the Latent Geometry of Large Language Models

流形赌博机：大语言模型潜在几何上的贝叶斯课程学习

Darrien McKenzie, Nicklas Hansen, Xiaolong Wang

机构 * University of California, San Diego（加州大学圣迭戈分校） 纠错

AI总结 提出贝叶斯流形课程（BMC）框架，将问题采样建模为流形结构赌博机问题，通过层次任务树和贝叶斯学习引导采样，平衡学习信号、多样性和实用性。

Comments Webpage: https://darrienmckenzie.com/manifold-bandits/

HEPTv2: End-to-End Efficient Point Transformer for Charged Particle Reconstruction

HEPTv2：用于带电粒子重建的端到端高效点变换器

Siqi Miao, Shitij Govil, Jack P. Rodgers, Mia Liu, Javier Duarte, Shih-Chieh Hsu, Yuan-Tang Chou, Pan Li

机构 * School of Electrical and Computer Engineering, Georgia Institute of Technology（佐治亚理工学院电气与计算机工程学院） ； Department of Physics and Astronomy, Purdue University（普渡大学物理与天文学系） ； Department of Physics, University of California San Diego（加州大学圣地亚哥分校物理系） ； Department of Physics, University of Washington（华盛顿大学物理系） 纠错

AI总结 提出HEPTv2，一种端到端点变换器架构，通过局部敏感哈希编码和扇区化解码，无需图构建即可从探测器击中点直接重建粒子轨迹，在TrackML上以0.8%假率实现98.6%追踪效率，延迟仅15ms。

Review of Machine Learning Models for Solar Energetic Particle Prediction

太阳高能粒子预测的机器学习模型综述

Spiridon Kasapis, Pouya Hosseinzadeh, Kathryn Whitman, Ricky Egeland, Manolis Georgoulis, Angelos Vourlidas, Athanasios Papaioannou, Eleni Lavasa, Anastasios Anastasiadis, Giorgos Giannopoulos, Andres Munoz-Jaramillo, Bala Poduval, Irina N. Kitiashvili, Alexander G. Kosovichev, Viacheslav Sadykov, Soukaina Filali Boubrahimi, Tate T. Hutchins, Hameedullah A. Farooki, Manuel E. Cuesta, Leng Y. Khoo, Sungmin Pak, Robert Czarnota, Jamie S. Rankin, Jamey Szalay, Mitchell M. Shen, Georgios Livadiotis, Zigong Xu, David J. McComas, Nikolaos Sarlis, Dionissios Hristopulos, Arik Posner, Alec J. Engell, Mohammed AbuBakr Ali, Ali G. A. Abdelkawy, Abdelrazek M. K. Shaltout, M. M. Beheary, Christina O. Lee, Sigiava Aminalragia-Giamini, Constantinos Papadimitriou, Ingmar Sandberg, Savvas Raptis, Shah Muhammad Hamdi, Monica Laurenza, Mirko Stumpo, Sumanth A. Rotti, India Jackson, Aatiya Ali, Atilim Gunes Baydin, Nathan Schwadron, Subhamoy Chatterjee, Maher A. Dayeh, Gelu M. Nita, Patrick M. O'Keefe, Chun Jie Chong, Paul Kosovich, Russell D. Marroquin, Berkay Aydin, Petrus C. Martens, Lulu Zhao, Yang Chen, Yian Yu, Monica G. Bobra, Ward Manchester, Tamas Gombosi, Ming Zhang, Jesse Torres, Philip K. Chan, Mohamed Nedal, Kamen Kozarev, Peijin Zhang, Kimberly Moreland, Hazel M. Bain, Samuel Hart, Michael J. Starkey, Alan G. Ling, Simone Benella

机构 * Department of Astrophysical Sciences, Princeton University, Princeton, NJ, USA ； Computational Physics Branch, NASA Ames Research Center, Moffett Field, CA, USA ； Department of Computer Science, Utah State University, Logan, UT, USA ； Space Radiation Analysis Group, NASA Johnson Space Center, Houston, TX, USA ； Johns Hopkins Applied Physics Lab, 11100 Johns Hopkins Rd, Laurel, MD 20723, United States ； Research Center for Astronomy ； Applied Mathematics of the Academy of Athens, 4 Soranou Efesiou Street, Athens 11527, Greece ； Institute for Astronomy, Astrophysics, Space Applications ； Southwest Research Institute, Boulder, CO, USA ； Space Science Center, University of New Hampshire, Durham, NH, USA ； Department of Physics, New Jersey Institute of Technology, Newark, NJ, USA ； Astronomy Department, Georgia State University, Atlanta, GA, USA ； Department of Computer Science, Princeton University, Princeton, NJ, USA ； Department of Mathematics, Rowan University, Glassboro, NJ, USA ； Astronomy, California Institute of Technology, Pasadena, CA, USA ； Department of Physics, National ； Kapodistrian University of Athens, Athens, Greece ； School of Electrical ； Computer Engineering, Technical University of Crete, Chania, Greece ； Department of Astronomy ； Meteorology, Faculty of Science, Al-Azhar University, Cairo, Egypt ； Space Sciences Lab, University of California, Berkeley, CA, USA ； Research Consultancy, Athens, Greece ； Institute for Space Astrophysics ； Department of Physics ； Astronomy, Georgia State University, Atlanta, GA 30303, USA ； Aryabhatta Research Institute of Observational Sciences (ARIES), Manora Peak, Nainital-263001, Uttarakhand, India ； Department of Computer Science, Oxford University, Oxford, England ； Southwest Research Institute, San Antonio, TX, USA ； Computer Science Department, New Jersey Institute of Technology, Newark, NJ, USA ； Department of Physics, University of California San Diego, La Jolla, CA 92093, USA ； Department of Computer Science, Georgia State University, Atlanta, GA 30303, USA ； Department of Climate ； Engineering, University of Michigan, Ann Arbor, MI, USA ； Department of Statistics, University of Michigan, Ann Arbor, MI, USA ； Department of Electrical Engineering ； Computer Science, Florida Institute of Technology, Melbourne, FL, USA ； Astrophysics Section, School of Cosmic Physics, Dublin Institute for Advanced Studies, DIAS Dunsink Observatory, Dublin D15 XR2R, Ireland ； Institute of Astronomy of the Bulgarian Academy of Sciences, Sofia, Bulgaria ； Center for Solar-Terrestrial Research, New Jersey Institute of Technology, Newark, NJ 07102, USA ； Cooperative Programs for the Advancement of Earth System Science, University Corporation for Atmospheric Research, Boulder, CO, USA ； CIRES, University of Colorado Boulder, Boulder, CO, USA ； Space Weather Prediction Center, NOAA, Boulder, CO, USA ； Astronomy, College of Science, The University of Texas at San Antonio, San Antonio, TX, USA ； Space Weather Prediction Center, National Oceanic ； The University of Texas at San Antonio, San Antonio, TX, USA ； Environmental Research, Inc., MA, USA 纠错

AI总结 综述了用于太阳高能粒子预测的机器学习模型，包括数据集、架构、输入输出比较，并提出了未来研究建议。

Comments Review Paper, Maine text: 23 pages, References: 5 pages, Appendix: 42 pages

Transferring Contact, Not Just Motion: Compliant Grasping Across Dexterous Hands

传递接触，而不仅仅是运动：跨灵巧手的柔顺抓取

Soofiyan Atar, Yao-Ting Huang, Michael Yip

机构 * University of California San Diego（加州大学圣迭戈分校） 纠错

AI总结 提出跨本体力-位置接口，通过校准力矩和指尖力实现异构灵巧手间的接触感知抓取，结合流匹配视觉运动策略和混合力位控制器，实现可迁移的柔顺抓取。

Comments Website(overview): transferring-contact-not-just-motion.github.io/