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高校专区

Columbia University(哥伦比亚大学)

2025-09-30 至 2025-09-30 共收录 11
2509.25126 2025-09-30 stat.ML cs.LG cs.NA math.NA math.ST stat.TH

On Spectral Learning for Odeco Tensors: Perturbation, Initialization, and Algorithms

Arnab Auddy, Ming Yuan

机构 * Department of Statistics, The Ohio State University(统计学系,俄亥俄州立大学) Department of Statistics, Columbia University(统计学系,哥伦比亚大学)

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2509.24801 2025-09-30 cs.LG cs.SY eess.SY

Physics-informed learning under mixing: How physical knowledge speeds up learning

Anna Scampicchio, Leonardo F. Toso, Rahel Rickenbach, James Anderson, Melanie N. Zeilinger

机构 * Institute for Dynamic Systems and Control, ETH Zürich(动态系统与控制研究所,苏黎世联邦理工学院) Department of Electrical Engineering, Columbia University(电气工程系,哥伦比亚大学)

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2509.24109 2025-09-30 cs.CV

SVAC: Scaling Is All You Need For Referring Video Object Segmentation

Li Zhang, Haoxiang Gao, Zhihao Zhang, Luoxiao Huang, Tao Zhang

机构 * Columbia University New York, USA(哥伦比亚大学) Carnegie Mellon University Pittsburgh, USA(卡内基梅隆大学) New York University New York, USA(纽约大学) Wuhan University Wuhan, China(武汉大学)

Comments This paper is accepted to BMVC 2025

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2509.03898 2025-09-30 stat.ML cs.AI cs.LG

Diffusion Generative Models Meet Compressed Sensing, with Applications to Imaging and Finance

Zhengyi Guo, Jiatu Li, Wenpin Tang, David D. Yao

机构 * Department of Industrial Engineering and Operations Research, Columbia University(工业工程与运筹学系,哥伦比亚大学) Department of Statistics, Columbia University(统计系,哥伦比亚大学)

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2503.16257 2025-09-30 cs.CV

Plug-and-Play 1.x-Bit KV Cache Quantization for Video Large Language Models

Keda Tao, Haoxuan You, Yang Sui, Can Qin, Huan Wang

机构 * Zhejiang University(浙江大学) Westlake University(西湖大学) Columbia University(哥伦比亚大学) Rice University(Rice大学) Salesforce AI Research(Salesforce人工智能研究)

Comments 12 pages

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2502.06233 2025-09-30 cs.CL cs.AI

Confidence Improves Self-Consistency in LLMs

Amir Taubenfeld, Tom Sheffer, Eran Ofek, Amir Feder, Ariel Goldstein, Zorik Gekhman, Gal Yona

机构 * Google Research(谷歌研究) The Hebrew University of Jerusalem(耶路撒冷希伯来大学) Columbia University(哥伦比亚大学)

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2509.23942 2025-09-30 cs.LG cs.DB q-bio.QM

Efficient Identification of High Similarity Clusters in Polygon Datasets

John N. Daras

机构 * Columbia University in the city of New York(哥伦比亚大学)

Comments 11 pages, 3 figures

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2509.23280 2025-09-30 cs.LG cs.AI math.OC q-fin.MF

Continuous-Time Reinforcement Learning for Asset-Liability Management

Yilie Huang

机构 * Department of Industrial Engineering and Operations Research, Columbia University(工业工程与运筹学系,哥伦比亚大学)

Comments Accepted at the 6th ACM International Conference on AI in Finance (ICAIF 2025), 8 pages, 2 figures

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2509.22919 2025-09-30 stat.ML cs.LG

Label-Guided Imputation via Forest-Based Proximities for Improved Time Series Classification

Jake S. Rhodes, Adam G. Rustad, Sofia Pelagalli Maia, Evan Thacker, Hyunmi Choi, Jose Gutierrez, Tatjana Rundek, Ben Shaw

机构 * 1 Department of Statistics, Brigham Young University, Provo, UT, USA Emails 2 Department of Computer Science, Brigham Young University, Provo, UT, USA Email 3 Department of Public Health, Brigham Young University, Provo, UT, USA Email 4 Department of Neurology, Vagelos College of Physicians \& Surgeons, Columbia University, New York, NY, USA Email 5 Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL, USA Email 6 Elmhurst Hospital Center, NYC Health + Hospitals, New York, NY, USA Email 7 Department of Mathematics \& Statistics, Utah State University, Logan, UT, USA Email

Comments 6 pages, one figure. Accepted at ICMLA 2025

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2506.21561 2025-09-30 cs.CL cs.AI

Reasoning Isn't Enough: Examining Truth-Bias and Sycophancy in LLMs

Emilio Barkett, Olivia Long, Madhavendra Thakur

机构 * Columbia University(哥伦比亚大学)

Comments Published at the ICML 2025 Workshop on Models of Human Feedback for AI Alignment

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2505.15229 2025-09-30 cs.CL cs.CY

Multilingual Prompting for Improving LLM Generation Diversity

Qihan Wang, Shidong Pan, Tal Linzen, Emily Black

机构 * New York University(纽约大学) Columbia University(哥伦比亚大学)

Comments Accepted by EMNLP 2025

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