arXivDaily arXiv每日学术速递 周一至周五更新

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Georgia Institute of Technology(佐治亚理工学院)

共收录 1669
2511.22009 2026-01-09 cs.CV

StreamFlow: Theory, Algorithm, and Implementation for High-Efficiency Rectified Flow Generation

StreamFlow:高效率校正流生成的理论、算法与实现

Sen Fang, Hongbin Zhong, Yalin Feng, Yanxin Zhang, Dimitris N. Metaxas

机构 * Rutgers University, New Jersey, USA(罗杰斯大学) Georgia Institute of Technology, Atlanta, Georgia, USA(佐治亚理工学院) Nanyang Technological University, Singapore(南洋理工大学) University of Wisconsin-Madison, Wisconsin, USA(威斯康星大学麦迪逊分校)

AI总结 本文提出StreamFlow,通过理论、算法和实现的综合优化,显著提升了基于流模型的图像生成效率,达到611%的加速效果。

Comments Improved the quality. Project Page at https://world-snapshot.github.io/StreamFlow/

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2507.03929 2026-01-08 cs.AI cs.LO

An ASP-Based Framework for MUSes

基于ASP的MUS生成框架

Mohimenul Kabir, Kuldeep S Meel

机构 * National University of Singapore(新加坡国立大学) Georgia Institute of Technology(佐治亚理工学院)

AI总结 本文提出基于ASP的MUS-ASP框架,用于高效枚举和计数MUS,通过转换问题到答案集求解提升计算效率。

Comments In Proceedings ICLP 2025, arXiv:2601.00047

Journal ref EPTCS 439, 2026, pp. 18-33

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2505.01538 2026-01-08 cs.DB cs.CR cs.IR cs.LG

HONEYBEE: Efficient Role-based Access Control for Vector Databases via Dynamic Partitioning[Technical Report]

HONEYBEE: 通过动态分区实现向量数据库的高效基于角色的访问控制

Hongbin Zhong, Matthew Lentz, Nina Narodytska, Adriana Szekeres, Kexin Rong

机构 * Georgia Institute of Technology(佐治亚理工学院) Duke University(杜克大学) VMware Research by Broadcom(VMware由Broadcom进行的研究) Microsoft Research(微软研究院)

AI总结 HONEYBEE通过动态分区实现向量数据库的高效基于角色的访问控制,平衡内存开销与查询延迟,提升安全性与效率。

Comments Accepted by SIGMOD 2026

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2601.02505 2026-01-07 cs.RO

Learning and Optimizing the Efficacy of Spatio-Temporal Task Allocation under Temporal and Resource Constraints

学习和优化在时间和资源约束下的时空任务分配效能

Jiazhen Liu, Glen Neville, Jinwoo Park, Sonia Chernova, Harish Ravichandar

机构 * Georgia Institute of Technology, USA(佐治亚理工学院)

AI总结 本文提出E-ITAGS算法,通过主动学习高效优化多机器人系统的时空任务分配效能,同时满足时间和资源约束。

Comments The journal extension version of our conference paper: arXiv:2404.07902, which has been accepted by ISRR 2024

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2601.01877 2026-01-06 quant-ph cs.LG math-ph math.MP

Random-Matrix-Induced Simplicity Bias in Over-parameterized Variational Quantum Circuits

随机矩阵诱导的在参数化变分量子电路中的简单性偏见

Jun Qi, Chao-Han Huck Yang, Pin-Yu Chen, Min-Hsiu Hsieh

机构 * School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA(电子与计算机工程系,佐治亚理工学院) NVIDIA Research, Santa Clara, CA 95051, USA(NVIDIA研究) IBM Thomas J. Watson Research Center, NY, 10598, USA(IBM托马斯·J·沃森研究中心) Hon Hai (Foxconn) Quantum Computing Research Center, Taipei, 114, Taiwan(鸿海(富士康)量子计算研究中心)

AI总结 本文揭示了在参数化变分量子电路中,由于函数类的坍缩导致的简单性偏见,通过随机矩阵理论解释了 barren plateaus 和泛化能力受限的根源。

Comments 20 pages, 4 figures

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2601.01296 2026-01-06 cs.CR cs.AI cs.LG

Aggressive Compression Enables LLM Weight Theft

激进压缩使大语言模型权重窃取成为可能

Davis Brown, Juan-Pablo Rivera, Dan Hendrycks, Mantas Mazeika

机构 * University of Pennsylvania(宾夕法尼亚大学) Georgia Institute of Technology(佐治亚理工学院) Center for AI Safety(人工智能安全中心)

AI总结 本文研究了通过压缩使大语言模型权重窃取风险增加的问题,提出通过放松解压缩约束来提升窃取效率,并探讨了三种防御方法以降低窃取风险。

Comments An early version of this work was presented at the SoLAR Workshop at NeurIPS 2024

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2601.01076 2026-01-06 eess.SY cs.AI cs.LG cs.RO cs.SY math.OC

Scalable Data-Driven Reachability Analysis and Control via Koopman Operators with Conformal Coverage Guarantees

基于Koopman算子的可扩展数据驱动可达性分析与控制及符合覆盖保证

Devesh Nath, Haoran Yin, Glen Chou

机构 * Georgia Institute of Technology(佐治亚理工学院) School of ECE(电子工程学院) Schools of Cybersecurity & Privacy & Aerospace Eng(网络安全与隐私及航空航天工程学院)

AI总结 本文提出基于Koopman算子的可扩展数据驱动可达性分析与控制方法,通过符合预测保证系统覆盖,提升高维任务的可达集覆盖率和计算效率。

Comments Under review, 28 pages, 12 figures

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2601.01062 2026-01-06 cs.LG cs.AI cs.CV

SPoRC-VIST: A Benchmark for Evaluating Generative Natural Narrative in Vision-Language Models

SPoRC-VIST:评估视觉语言模型生成自然叙述能力的基准

Yunlin Zeng

机构 * Georgia Institute of Technology(佐治亚理工学院)

AI总结 SPoRC-VIST基准通过合成到现实训练策略评估视觉语言模型生成多说话者播客对话的自然性和深度。

Comments 14 pages, 3 figures. Accepted to WVAQ 2026, WACV 2026

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2601.00994 2026-01-06 cs.AI cs.CY

ElecTwit: A Framework for Studying Persuasion in Multi-Agent Social Systems

ElecTwit:多智能体社交系统中说服研究的框架

Michael Bao

机构 * Georgia Institute of Technology(佐治亚理工学院)

AI总结 ElecTwit通过模拟政治选举中的社交媒体互动,研究多智能体系统中说服现象的影响因素及不同模型架构对说服动态的作用。

Comments In proceedings of 2025 IEEE International Conference on Agentic AI (ICA)

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2512.22808 2026-01-06 cs.CV cs.AI

EgoReAct: Egocentric Video-Driven 3D Human Reaction Generation

EgoReAct:基于第一人称视频的3D人体反应生成

Libo Zhang, Zekun Li, Tianyu Li, Zeyu Cao, Rui Xu, Xiaoxiao Long, Wenjia Wang, Jingbo Wang, Yuan Liu, Wenping Wang, Daquan Zhou, Taku Komura, Zhiyang Dou

机构 * THU(清华大学) Brown(布朗大学) Georgia Tech(佐治亚理工学院) Cambridge(剑桥大学) HKU(香港大学) NJU(南京大学) CUHK(香港中文大学) HKUST(香港科技大学) TAMU(德克萨斯大学奥斯汀分校) PKU(北京大学) MIT(麻省理工学院)

AI总结 EgoReAct通过构建HRD数据集,首次实现从第一人称视频实时生成3D对齐的人体反应运动,提升生成的现实感和空间一致性。

Comments 12 pages, 9 figures

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2412.09378 2026-01-06 cs.CY cs.CL

From Bench to Bedside: A Review of Clinical Trials in Drug Discovery and Development

从实验室到临床:药物发现与开发中临床试验的综述

Tianyang Wang, Ming Liu, Benji Peng, Xinyuan Song, Charles Zhang, Xintian Sun, Qian Niu, Junyu Liu, Silin Chen, Keyu Chen, Ming Li, Pohsun Feng, Ziqian Bi, Yunze Wang, Yichao Zhang, Cheng Fei, Lawrence KQ Yan, Ziyuan Qin, Riyang Bao, Zekun Jiang

机构 * University of Liverpool, UK(利物浦大学) Purdue University, USA(普渡大学) Georgia Institute of Technology, USA(佐治亚理工学院) Emory University, USA(埃默里大学) Simon Fraser University, Canada(Simon Fraser大学) Kyoto University, Japan(京都大学) Zhejiang University, China(浙江大学) National Taiwan Normal University, Taiwan(台湾师范大学) Indiana University, USA(印第安纳大学) University of Edinburgh, UK(爱丁堡大学) The University of Texas at Dallas, USA(德克萨斯大学达拉斯分校) University of Wisconsin-Madison, USA(威斯康星大学麦迪逊分校) The Hong Kong University of Science(香港科学大学)

AI总结 本文综述了临床试验在药物发现与开发中的关键作用,探讨了各阶段特点、挑战及未来发展方向。

Comments 11 pages

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2411.03416 2026-01-06 cs.RO

Efficient Iterative Proximal Variational Inference Motion Planning

高效迭代近端变分推断运动规划

Zinuo Chang, Hongzhe Yu, Patricio Vela, Yongxin Chen

机构 * School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA(电气与计算机工程学院,佐治亚理工学院,亚特兰大,GA) School of Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA(航空航天工程学院,佐治亚理工学院,亚特兰大,GA)

AI总结 本文提出P-GVIMP方法,通过并行计算和变分推断解决非线性随机系统的运动规划问题,实现高效规划与不确定性下的成功解决方案。

Comments 13 pages

Journal ref Robotics and Autonomous Systems 174 (2025) 105267

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2402.02698 2026-01-06 cs.LG cs.AI math.OC

Beyond Expectations: Learning with Stochastic Dominance Made Practical

超越期望:使随机支配成为可能的学习

Shicong Cen, Jincheng Mei, Hanjun Dai, Dale Schuurmans, Yuejie Chi, Bo Dai

机构 * Carnegie Mellon University(卡内基梅隆大学) Google Research(谷歌研究) Google(谷歌) University of Alberta(阿尔伯塔大学) Carnegie Mellon(卡内基梅隆大学) Georgia Tech(佐治亚理工学院)

AI总结 本文提出了一种基于随机支配的通用学习框架,通过推广随机支配概念并开发高效计算方法,实现了在多种学习任务中更优的风险权衡。

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2601.00855 2026-01-06 cond-mat.mtrl-sci cs.LG

Physically-Constrained Autoencoder-Assisted Bayesian Optimization for Refinement of High-Dimensional Defect-Sensitive Single Crystalline Structure

具有物理约束的自编码器辅助贝叶斯优化用于高维缺陷敏感单晶结构的精修

Joseph Oche Agada, Andrew McAninch, Haley Day, Yasemin Tanyu, Ewan McCombs, Seyed M. Koohpayeh, Brian H. Toby, Yishu Wang, Arpan Biswas

机构 * Bredesen Center for Interdisciplinary Research, University of Tennessee, Knoxville, USA(跨学科研究中心,田纳西大学) Center for Advanced Material Science and Manufacturing, University of Tennessee, Knoxville, TN 37996, USA(先进材料科学与制造中心,田纳西大学) Department of Physics and Astronomy, University of Tennessee, Knoxville, TN 37996, USA(物理与天文学系,田纳西大学) Georgia Institute of Technology, Atlanta, GA 30332, USA(佐治亚理工学院) Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA(弗吉尼亚理工大学) Department of Materials Science and Engineering, University of Tennessee, Knoxville, TN 37996, USA(材料科学与工程系,田纳西大学) Department of Physics and Astronomy, Institute for Quantum Matter, Johns Hopkins University, Baltimore, MD 21218(物理与天文学系,量子物质研究所,约翰霍普金斯大学) Department of Materials Science and Engineering, Johns Hopkins University, Baltimore, MD 21218(材料科学与工程系,约翰霍普金斯大学) The Ralph O’Connor Sustainable Energy Institute, Johns Hopkins University, Baltimore, MD 21218(罗伯特·奥康纳可持续能源研究所,约翰霍普金斯大学) Advanced Photon Source, Argonne National Lab, Lemont, IL 60439, USA(先进光子源,阿贡国家实验室) University of Tennessee-Oak Ridge Innovation Institute, Knoxville, TN 37996, USA(田纳西大学奥本创新研究所)

AI总结 本文提出结合物理约束变分自编码器与贝叶斯优化的方法,用于高维缺陷敏感单晶结构的精修,以提高精修效率和准确性。

Comments 15 pages, 8 figures

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2601.00400 2026-01-05 cs.AI

Adaptive Causal Coordination Detection for Social Media: A Memory-Guided Framework with Semi-Supervised Learning

面向社交媒体的自适应因果协调检测:一种基于记忆的框架与半监督学习

Weng Ding, Yi Han, Mu-Jiang-Shan Wang

机构 * Georgia Institute of Technology(佐治亚理工学院) Meta Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences(深圳先进技术研究院,中国科学院)

AI总结 本文提出ACCD框架,通过自适应因果协调检测方法,提升社交媒体中协调行为识别的准确性和效率,实现68%的标注减少和2.8倍的处理加速。

Comments 15 pages, 8 figures. Under review

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2601.00238 2026-01-05 cs.RO

SLAP: Slapband-based Autonomous Perching Drone with Failure Recovery for Vertical Tree Trunks

SLAP:基于Slapband的自主着陆无人机及其故障恢复机制

Julia Di, Kenneth A. W. Hoffmann, Tony G. Chen, Tian-Ao Ren, Mark R. Cutkosky

机构 * Stanford University(斯坦福大学) Georgia Institute of Technology(佐治亚理工学院)

AI总结 SLAP是一种基于Slapband的自主着陆无人机系统,能够安全着陆垂直树干并有效应对着陆故障。

Comments Paper accepted to IEEE Aerospace Conference 2026. This is a pre-print

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2210.05022 2026-01-05 cs.RO

Dynamic Gap: Safe Gap-based Navigation in Dynamic Environments

动态间隙:动态环境中的安全间隙导航

Max Asselmeier, Dhruv Ahuja, Abdel Zaro, Ahmad Abuaish, Ye Zhao, Patricio A. Vela

机构 * Institute for Robotics and Intelligent Machines, Georgia Institute of Technology(机器人与智能机器研究所,佐治亚理工学院) School of Electrical and Computer Engineering, Georgia Institute of Technology(电气与计算机工程学院,佐治亚理工学院) Department of Mechanical Engineering, University of California, Berkeley(机械工程系,加州大学伯克利分校)

AI总结 本文提出动态间隙规划器,通过生成可证明的无碰撞属性,提升动态环境中基于间隙的导航安全性与效率。

Comments Accepted to 2025 International Conference on Robotics and Automation (ICRA)

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2512.24948 2026-01-01 cs.CV cs.LG

ProDM: Synthetic Reality-driven Property-aware Progressive Diffusion Model for Coronary Calcium Motion Correction in Non-gated Chest CT

ProDM:合成现实驱动的属性感知渐进扩散模型用于非门控胸部CT中的冠状动脉钙运动校正

Xinran Gong, Gorkem Durak, Halil Ertugrul Aktas, Vedat Cicek, Jinkui Hao, Ulas Bagci, Nilay S. Shah, Bo Zhou

机构 * Department of Radiology, Northwestern University, Chicago, IL, USA College of Computing, Georgia Institute of Technology, Atlanta, GA, USA Department of Biomedical Engineering, Northwestern University, Evanston, IL, USA Department of Cardiology, Northwestern University, Chicago, IL, USA Department of Preventive Medicine, Northwestern University, Chicago, IL, USA

AI总结 ProDM通过属性感知渐进校正扩散模型,有效校正非门控胸部CT中的运动伪影,提升冠状动脉钙评分的准确性与临床实用性。

Comments 21 pages, 8 figures

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2412.03154 2026-01-01 cs.LG cs.AI cs.SE

SoundnessBench: A Soundness Benchmark for Neural Network Verifiers

SoundnessBench: 一种用于神经网络验证器的声学基准

Xingjian Zhou, Keyi Shen, Andy Xu, Hongji Xu, Cho-Jui Hsieh, Huan Zhang, Zhouxing Shi

机构 * University of California, Los Angeles(加州大学洛杉矶分校) Georgia Institute of Technology(佐治亚理工学院) Duke University(杜克大学) University of Illinois Urbana-Champaign(伊利诺伊大学厄巴纳-香槟分校) University of California, Riverside(加州大学河滨分校)

AI总结 SoundnessBench通过构建包含隐藏反例的基准,用于评估神经网络验证器的正确性。

Comments TMLR (December 2025)

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2406.17126 2026-01-01 cs.CV cs.LG

MM-SpuBench: Towards Better Understanding of Spurious Biases in Multimodal LLMs

MM-SpuBench:迈向更好地理解多模态大语言模型中伪偏差的深入研究

Wenqian Ye, Bohan Liu, Guangtao Zheng, Di Wang, Yunsheng Ma, Xu Cao, Bolin Lai, James M. Rehg, Aidong Zhang

机构 * University of Virginia(弗吉尼亚大学) Purdue University(普渡大学) University of Illinois Urbana-Champaign(伊利诺伊大学厄巴纳-香槟分校) Georgia Institute of Technology(佐治亚理工学院)

AI总结 MM-SpuBench通过分析多模态大语言模型中的伪偏差,揭示其存在与缓解的挑战,提供公开基准以促进相关技术发展。

Comments Accepted at KDD 2026 (Dataset and Benchmark Track)

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2406.09132 2026-01-01 cs.LG

Jacobian-Enhanced Neural Networks

雅可比增强神经网络

Steven H. Berguin

机构 * Georgia Tech Research Institute(佐治亚理工学院研究机构)

AI总结 雅可比增强神经网络通过提高偏导数预测精度,在基于代理的优化中实现更高效的模型替代

Comments 34 pages, 9 figures

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2512.23870 2026-01-01 cs.LG

Max-Entropy Reinforcement Learning with Flow Matching and A Case Study on LQR

最大熵强化学习与流匹配及LQR问题的案例研究

Yuyang Zhang, Yang Hu, Bo Dai, Na Li

机构 * School of Engineering and Applied Sciences, Harvard University(哈佛大学工程与应用科学学院) Harvard University(哈佛大学) College of Computing, Georgia Institute of Technology(佐治亚理工学院计算机学院)

AI总结 本文提出了一种基于流模型的SAC变体,通过重要性采样流匹配技术提升策略更新效率,并在LQR问题中验证了其学习最优动作分布的能力。

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2510.12919 2025-12-30 cs.RO cs.SY eess.SY

Gaussian Process Implicit Surfaces as Control Barrier Functions for Safe Robot Navigation

高斯过程隐式曲面作为安全控制器屏障函数用于安全机器人导航

Mouhyemen Khan, Tatsuya Ibuki, Abhijit Chatterjee

机构 * School of Electrical and Computer Engineering, Georgia Institute of Technology(电子与计算机工程学院,佐治亚理工学院) Department of Electronics and Bioinformatics, School of Science and Technology, Meiji University(电子与生物信息学系,明治大学)

AI总结 本文提出利用高斯过程隐式曲面作为控制器屏障函数,通过安全样本条件高斯过程来生成安全边界,实现安全机器人导航。

Comments 8 pages, 7 figures, under review

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2311.05050 2025-12-30 cs.LG quant-ph

Sequential learning on a Tensor Network Born machine with Trainable Token Embedding

基于可训练标记嵌入的张量网络生机器的序列学习

Wanda Hou, Miao Li, Yi-Zhuang You

机构 * Department of Physics, University of California, San Diego, CA 92093, USA(加州大学圣地亚哥分校物理系) School of Physics, Zhejiang University, Hangzhou 310027, China(浙江大学物理学院) Department of Physics, Georgia Institute of Technology, Atlanta, GA 30332, USA(佐治亚理工学院物理系)

AI总结 本文提出基于可训练POVM嵌入的Born机器,通过改进张量网络结构,提升量子启发序列建模中复杂数据相关性的建模能力。

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2512.22757 2025-12-30 cs.RO cs.AI cs.LG cs.SY eess.SY math.OC

Active Constraint Learning in High Dimensions from Demonstrations

从演示中学习高维主动约束

Zheng Qiu, Chih-Yuan Chiu, Glen Chou

机构 * School of Mechanical Engineering Georgia Institute of Technology(机械工程学院佐治亚理工学院) School of Electrical and Computer Engineering Georgia Institute of Technology(电气与计算机工程学院佐治亚理工学院) Schools of Cybersecurity & Privacy and Aerospace Engineering Georgia Institute of Technology(网络安全与隐私学院及航空航天工程学院佐治亚理工学院)

AI总结 本文提出了一种基于演示的高维主动约束学习算法,通过迭代生成稀疏但有信息量的演示轨迹,提升对未知约束的推断精度。

Comments Under review, 25 pages, 11 figures

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2512.22414 2025-12-30 cs.RO cs.AI

Emergence of Human to Robot Transfer in Vision-Language-Action Models

视觉-语言-动作模型中人类到机器人的转移现象出现

Simar Kareer, Karl Pertsch, James Darpinian, Judy Hoffman, Danfei Xu, Sergey Levine, Chelsea Finn, Suraj Nair

机构 * Physical Intelligence(物理智能) Georgia Institute of Technology(佐治亚理工学院)

AI总结 本文提出了一种简单的方法,通过预训练视觉-语言-动作模型,使模型能从人类数据中学习并转移至机器人任务,从而提升泛化性能。

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2512.22388 2025-12-30 cs.LG cs.AI cs.SI math.OC stat.ML

BLISS: Bandit Layer Importance Sampling Strategy for Efficient Training of Graph Neural Networks

BLISS:用于图神经网络高效训练的Bandit层重要性采样策略

Omar Alsaqa, Linh Thi Hoang, Muhammed Fatih Balin

机构 * Wilfrid Laurier University(威尔弗里德·劳里埃大学) Waterloo, Ontario, Canada(加拿大安大略省温哥华) Singapore Management University(新加坡管理学院) Georgia Institute of Technology(佐治亚理工学院)

AI总结 BLISS通过多臂老虎机动态选择重要节点,提升图神经网络训练效率,兼容GCN和GAT,实验显示其在精度上不逊于全批量训练。

Comments Accepted for 5th Muslims in ML Workshop co-located with NeurIPS 2025. OpenReview: https://openreview.net/forum?id=VaHubA7Pwv Code: https://github.com/linhthi/BLISS-GNN

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2509.04443 2025-12-30 cs.RO

EMMA: Scaling Mobile Manipulation via Egocentric Human Data

EMMA:通过第一人称人类数据扩展移动 manipulation

Lawrence Y. Zhu, Pranav Kuppili, Ryan Punamiya, Patcharapong Aphiwetsa, Dhruv Patel, Simar Kareer, Sehoon Ha, Danfei Xu

机构 * School of Interactive Computing, Georgia Institute of Technology(交互计算学院,佐治亚理工学院)

AI总结 EMMA通过第一人称人类数据和静态机器人数据训练移动 manipulation 策略,实现无需移动远程操作的端到端框架,提升现实环境中的可扩展机器人学习。

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2512.22102 2025-12-29 cs.LG

Explainable Multimodal Regression via Information Decomposition

通过信息分解实现可解释的多模态回归

Zhaozhao Ma, Shujian Yu

机构 * Zhejiang University(浙江大学) Georgia Institute of Technology(佐治亚理工学院) Vrije Universiteit Amsterdam(阿姆斯特丹自由大学) UiT - The Arctic University of Norway(挪威北极大学)

AI总结 本文提出基于部分信息分解的多模态回归框架,通过分解模态特定表示为唯一、冗余和协同组件,提升预测准确性和可解释性,并在多个数据集上验证其有效性。

Comments Project Page: https://github.com/zhaozhaoma/PIDReg

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2509.16499 2025-12-29 cs.LG

A Closer Look at Model Collapse: From a Generalization-to-Memorization Perspective

对模型崩溃的深入观察:从泛化到记忆的视角

Lianghe Shi, Meng Wu, Huijie Zhang, Zekai Zhang, Molei Tao, Qing Qu

机构 * University of Michigan(密歇根大学) Georgia Institute of Technology(佐治亚理工学院)

AI总结 本文提出基于熵的数据选择策略,缓解扩散模型中从泛化到记忆的转变,防止模型崩溃。

Comments NeurIPS 2025 Spotlight paper

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