世界模型 - arXivDaily 专题

2007.05606 2020-07-14 cs.NE cs.AI cs.CV cs.LG 56%

Neuromorphic Processing and Sensing: Evolutionary Progression of AI to Spiking

Philippe Reiter, Geet Rose Jose, Spyridon Bizmpikis, Ionela-Ancuţa Cîrjilă

专题命中通用世界模型：分类 cs.AI、cs.LG、cs.CV；predictive model(abstract)；predictive models(abstract)

Comments 15 pages, 13 figures

1705.04356 2020-06-16 stat.AP 56%

Comparing probabilistic predictive models applied to football

Marcio A. Diniz, Rafael Izbicki, Danilo Lopes, Luis Ernesto Salasar

专题命中通用世界模型：predictive model(title)；predictive models(title)

1802.09081 2020-02-25 cs.LG 56%

Temporal Difference Models: Model-Free Deep RL for Model-Based Control

Vitchyr Pong, Shixiang Gu, Murtaza Dalal, Sergey Levine

专题命中通用世界模型：model-based RL(abstract)；分类 cs.LG；predictive model(abstract)

Comments Appeared in ICLR 2018; typos corrected

1910.01770 2020-01-01 cs.HC 56%

The Effect of Person-Specific Biometrics in Improving Generic Stress Predictive Models

Kizito Nkurikiyeyezu, Anna Yokokubo, Guillaume Lopez

专题命中通用世界模型：predictive model(title)；predictive models(title)

Comments Journal of Sensors and Materials

1911.05072 2019-11-14 cs.LG cs.AI cs.CV q-bio.NC 56%

Learning From Brains How to Regularize Machines

Zhe Li, Wieland Brendel, Edgar Y. Walker, Erick Cobos, Taliah Muhammad, Jacob Reimer, Matthias Bethge, Fabian H. Sinz, Xaq Pitkow, Andreas S. Tolias

专题命中通用世界模型：分类 cs.AI、cs.LG、cs.CV；predictive model(abstract)；predictive models(abstract)

Comments 14 pages, 7 figures, NeurIPS 2019

1905.09191 2019-11-01 cs.LG cs.AI stat.ML 56%

Learning Robust Options by Conditional Value at Risk Optimization

Takuya Hiraoka, Takahisa Imagawa, Tatsuya Mori, Takashi Onishi, Yoshimasa Tsuruoka

专题命中通用世界模型：environment model(abstract)；分类 cs.AI、cs.LG

Comments NeurIPS 2019. Video demo: https://drive.google.com/open?id=1xXgSeEa_nNG397ZkIayk3CwYPy_BPy8X Source codes: https://github.com/TakuyaHiraoka/Learning-Robust-Options-by-Conditional-Value-at-Risk-Optimization

1910.08041 2019-10-18 cs.CV cs.LG cs.RO 56%

Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction

Ajay Jain, Sergio Casas, Renjie Liao, Yuwen Xiong, Song Feng, Sean Segal, Raquel Urtasun

专题命中通用世界模型：分类 cs.LG、cs.CV、cs.RO；predictive model(abstract)；predictive models(abstract)

Comments CoRL 2019

1806.05780 2019-09-06 cs.LG cs.AI stat.ML 56%

Surprising Negative Results for Generative Adversarial Tree Search

Kamyar Azizzadenesheli, Brandon Yang, Weitang Liu, Zachary C Lipton, Animashree Anandkumar

专题命中通用世界模型：environment model(abstract)；分类 cs.AI、cs.LG

1908.04929 2019-08-15 cs.CV cs.RO 56%

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents

Ue-Hwan Kim, Jin-Man Park, Taek-Jin Song, Jong-Hwan Kim

专题命中通用世界模型：environment model(abstract)；分类 cs.CV、cs.RO

Comments Early Access

1809.09310 2019-06-24 cs.PL cs.CV cs.LG 56%

Scenic: A Language for Scenario Specification and Scene Generation

Daniel J. Fremont, Tommaso Dreossi, Shromona Ghosh, Xiangyu Yue, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia

专题命中通用世界模型：environment model(abstract)；分类 cs.LG、cs.CV

Comments 41 pages, 36 figures. Full version of a PLDI 2019 paper (extending UC Berkeley EECS Department Tech Report No. UCB/EECS-2018-8)

1903.08920 2019-03-22 stat.ME econ.EM 56%

Feature quantization for parsimonious and interpretable predictive models

Adrien Ehrhardt, Christophe Biernacki, Vincent Vandewalle, Philippe Heinrich

专题命中通用世界模型：predictive model(title)；predictive models(title)

Comments 9 pages, 2 figures, 3 tables

1806.11369 2018-07-23 q-bio.QM 56%

Develop machine learning based predictive models for engineering protein solubility

X. Han, X. Wang, K. Zhou

专题命中通用世界模型：predictive model(title)；predictive models(title)

Comments 7 pages, 3 figures, 5 tables, journal Bioinformatics(submitted)

1703.11000 2017-07-12 cs.LG cs.AI cs.RO 56%

Learning Visual Servoing with Deep Features and Fitted Q-Iteration

Alex X. Lee, Sergey Levine, Pieter Abbeel

专题命中通用世界模型：分类 cs.AI、cs.LG、cs.RO；dynamics model(abstract)；predictive model(abstract)

Comments ICLR 2017

1212.0325 2012-12-04 math.ST stat.TH 56%

On the within-family Kullback-Leibler risk in Gaussian Predictive models

Gourab Mukherjee, Iain M. Johnstone

专题命中通用世界模型：predictive model(title)；predictive models(title)

Comments This work is based on Chapter 3 of G.M.'s Ph.D. thesis (to be submitted) and was titled as `On efficient quadratic approximations of the predictive log-likelihood in a Gaussian sequence model' in previous preprints

1206.6484 2012-07-02 cs.LG cs.AI stat.ML 56%

Apprenticeship Learning for Model Parameters of Partially Observable Environments

Takaki Makino, Johane Takeuchi

专题命中通用世界模型：environment model(abstract)；分类 cs.AI、cs.LG

Comments Appears in Proceedings of the 29th International Conference on Machine Learning (ICML 2012)

hep-ph/9607419 2011-05-12 hep-ph 56%

Predictive Models of Large Neutrino Mixing Angles

S. M. Barr

专题命中通用世界模型：predictive model(title)；predictive models(title)

Comments 19 pages, LaTeX

Journal ref Phys.Rev.D55:1659-1664,1997

q-bio/0510014 2009-12-01 q-bio.QM q-bio.PE 56%

Predictive Models for Characterization of Ecological Data

Can Ozan Tan, Uygar Ozesmi, Bahtiyar Kurt

专题命中通用世界模型：predictive model(title)；predictive models(title)

Comments 14 pages, 1 figure. Submitted to Ecology as a Statistical Report

2606.11605 2026-06-11 cs.LG cs.AI 新提交 53%

Physics-Distilled Neural Network enabled by Large Language Models for Manufacturing Process-Property Predictive Modeling

基于大语言模型的物理蒸馏神经网络用于制造过程-性能预测建模

Ge Song, Kiarash Naghavi Khanghah, Anandkumar Patel, Rajiv Malhotra, Hongyi Xu

机构 * School of Mechanical, Aerospace and Manufacturing Engineering, University of Connecticut（康奈尔大学机械、航空航天与制造工程学院）； Department of Mechanical & Aerospace Engineering, Rutgers, the State University of New Jersey（新泽西州立大学鲁特大学机械与航空航天工程学院）

专题命中通用世界模型：predictive model(title)；分类 cs.AI、cs.LG

AI总结提出一种知识蒸馏框架，利用大语言模型从文献中提取物理先验，通过图掩码注意力层捕获变量依赖，蒸馏至轻量学生模型，在数据稀缺下实现高精度预测与实时部署。

Comments Under review, Journal of Computing and Information Science in Engineering

2605.13568 2026-05-14 cs.LG cs.AI 53%

Dynamical Predictive Modelling of Cardiovascular Disease Progression Post-Myocardial Infarction via ECG-Trained Artificial Intelligence Model

心肌梗死后心血管疾病进展的动态预测建模：基于ECG训练的人工智能模型

Riccardo Cavarra, Lupo Lovatelli, Shaheim Ogbomo-Harmitt, Shahid Aziz, Adelaide De Vecchi, Andrew King, Oleg Aslanidi

机构 * King’s College London（伦敦国王学院）； St Thomas’ Hospital（圣 Thomas 医院）； North Bristol NHS Trust（北布里斯托尔国家健康服务信托）

专题命中通用世界模型：predictive model(title)；分类 cs.AI、cs.LG

AI总结本文提出结合对比学习与监督多任务头的预训练模型，用于预测心肌梗死后心血管疾病进展，证明在数据有限时，临床结构化ECG建模能提升分类性能。

Comments submitted to the 9th International Conference on Computational and Mathematical Biomedical Engineering, 4 pages, 1 figure, 1 table

2604.18043 2026-04-21 cs.DC 53%

Optimizing Memory Allocation in Distributed Clusters with Predictive Modeling

在分布式集群中利用预测建模优化内存分配

Jonathan Bader, Edgar Blumenthal, Marten Eckardt, Justus Krebs, Joel Witzke, Xemena Wysokinska, Haci Ismail Aslan, Odej Kao

专题命中通用世界模型：predictive model(title,abstract)；predictive models(abstract)

AI总结本文提出基于LightGBM和XGBoost集成的回归方法，通过乘法安全因子减少内存不足任务并降低过度分配，实测数据表明内存不足率从4.17%降至2.89%，过度分配率从148%降至44.51%。

2604.00027 2026-04-02 cs.CL cs.LG 53%

Multi-lingual Multi-institutional Electronic Health Record based Predictive Model

多语言多机构电子健康记录基于预测模型

Kyunghoon Hur, Heeyoung Kwak, Jinsu Jang, Nakhwan Kim, Edward Choi

机构 * Kim Jaechul Graduate School of AI, Korea Advanced Institute of Science and Technology（韩国科学技术院金载哲人工智能研究生院）； NAVER Digital Healthcare LAB（NAVER数字医疗实验室）； Department of Health and Medical Information, Ansan University（安山大学健康与医疗信息系）； Institute of Human Behavior and Genetics, Korea University College of Medicine（高丽大学医学院人类行为与遗传研究所）

专题命中通用世界模型：predictive model(title,abstract)；分类 cs.LG

AI总结本文提出多语言多机构学习方法，通过文本对齐实现跨国ICU数据集的联合训练，优于多语言编码器和翻译方法，提升临床预测性能。

Comments On revision stage, 10 main pages, 3 supplementary pages

2602.02517 2026-02-04 cs.LG cs.AI cs.CY 53%

What Drives Length of Stay After Elective Spine Surgery? Insights from a Decade of Predictive Modeling

什么驱动了择期脊柱手术后住院时间？来自十年预测建模的洞察

Ha Na Cho, Seungmin Jeong, Yawen Guo, Alexander Lopez, Hansen Bow, Kai Zheng

专题命中通用世界模型：predictive model(title)；分类 cs.AI、cs.LG

AI总结本研究利用机器学习模型预测择期脊柱手术后住院时间，发现其在性能上优于传统统计模型，强调了其在优化医院资源管理中的应用潜力。

2510.09895 2026-01-21 cs.LG cs.AI stat.ML 53%

Chain-of-Influence: Tracing Interdependencies Across Time and Features in Clinical Predictive Modelings

链式影响：在时间和特征间追溯临床预测模型中的相互依赖关系

Yubo Li, Rema Padman

机构 * Carnegie Mellon University（卡内基梅隆大学）

专题命中通用世界模型：predictive model(title)；分类 cs.AI、cs.LG

AI总结 Chain-of-Influence提出了一种可解释的深度学习框架，通过构建特征相互作用的显式时间展开图，实现了对临床预测模型中时间与特征间相互依赖关系的追溯，提升了模型的可解释性和透明度。

2601.04449 2026-01-09 cs.LG 53%

Explainable Admission-Level Predictive Modeling for Prolonged Hospital Stay in Elderly Populations: Challenges in Low- and Middle-Income Countries

可解释的入院层面预测建模用于老年人群延长住院时间：低收入和中等收入国家的挑战

Daniel Sierra-Botero, Ana Molina-Taborda, Leonardo Espinosa-Leal, Alexander Karpenko, Alejandro Hernandez, Olga Lopez-Acevedo

机构 * Biophysics of Tropical Diseases Max Planck Tandem Group, University of Antioquia (UdeA)（热带疾病生物物理学马克斯·普朗克双人组，安蒂奥基亚大学）； Grupo de Física Atómica y Molecular, Instituto de Física, University of Antioquia (UdeA)（原子与分子物理组，物理研究所，安蒂奥基亚大学）； Graduate School and Research, Arcada University of Applied Sciences（应用科学大学研究生院）； VTT Technical Research Centre of Finland Ltd（芬兰技术研究中心）； Department of Internal Medicine, School of Medicine, University of Antioquia（内科学系，医学院，安蒂奥基亚大学）； Hospital Alma Mater de Antioquia, University of Antioquia（安蒂奥基亚大学阿尔玛 Mater 医院）

专题命中通用世界模型：predictive model(title,abstract)；分类 cs.LG

AI总结本文提出了一种可解释的预测模型，用于预测老年人群延长住院时间，通过特征选择方法提升模型透明性，验证集结果显示模型具有良好的预测性能。

Comments 23 pages, 6 figures

2512.17098 2025-12-23 cs.CV 53%

Predictive Modeling of Maritime Radar Data Using Transformer Architecture

使用变换器架构预测海运雷达数据

Bjorna Qesaraku, Jan Steckel

机构 * Cosys-lab, Faculty of applied Engineering, University of Antwerp（Cosys-lab，应用工程学院，安特卫普大学）

专题命中通用世界模型：predictive model(title,abstract)；分类 cs.CV

AI总结本文探讨了基于变换器架构的海运雷达数据预测方法，发现现有研究在该领域存在空白，需进一步探索

Comments 9 pages, 2 figures, 1 table

2512.06699 2025-12-22 cs.PF cs.AI cs.LG 53%

Predictive Modeling of I/O Performance for Machine Learning Training Pipelines: A Data-Driven Approach to Storage Optimization

机器学习训练流水线I/O性能预测性建模：一种数据驱动的存储优化方法

Karthik Prabhakar, Durgamadhab Mishra

专题命中通用世界模型：predictive model(title)；分类 cs.AI、cs.LG

AI总结本文提出一种数据驱动的方法，通过机器学习预测I/O性能并推荐最佳存储配置，以优化机器学习训练流水线的性能。

Comments 20 pages, 10 figures

2512.03055 2025-12-04 cs.LG cs.AI 53%

Physics-informed self-supervised learning for predictive modeling of coronary artery digital twins

基于物理的自监督学习用于冠状动脉数字孪生的预测建模

Xiaowu Sun, Thabo Mahendiran, Ortal Senouf, Denise Auberson, Bernard De Bruyne, Stephane Fournier, Olivier Muller, Pascal Frossard, Emmanuel Abbe, Dorina Thanou

机构 * Chair of Mathematical Data Science, EPFL, Lausanne, Switzerland（数学数据科学教授职位，苏黎世联邦理工学院，拉沃斯，瑞士）； LTS4 laboratory, EPFL, Lausanne, Switzerland（LTS4实验室，苏黎世联邦理工学院，拉沃斯，瑞士）； School of AI and Advanced Computing, Xi’an Jiaotong-Liverpool University, China（人工智能与高级计算学院，西安交通大学利物浦大学，中国）； Cardiology Department, Lausanne University Center Hospital, Lausanne, Switzerland（心血管科，拉沃斯大学中心医院，拉沃斯，瑞士）； OLV Hospital, Aalst, Belgium（OLV医院，阿尔斯特，比利时）； AI Center, EPFL, Lausanne, Switzerland（人工智能中心，苏黎世联邦理工学院，拉沃斯，瑞士）

专题命中通用世界模型：predictive model(title)；分类 cs.AI、cs.LG

AI总结 PINS-CAD通过基于物理的自监督学习框架，利用合成数据预训练图神经网络，提升样本效率并生成具有生理意义的预测模型，用于冠状动脉疾病的预测和预防。

Comments 19 pages

2511.14999 2025-11-20 cs.CY 53%

A County-Level Similarity Network of Electric Vehicle Adoption: Integrating Predictive Modeling and Graph Theory

Fahad Alrasheedi, Hesham Ali

专题命中通用世界模型：predictive model(title,abstract)；predictive models(abstract)

2507.13878 2025-11-18 physics.flu-dyn 53%

A predictive model for bubble-particle collisions in turbulence

Timothy T. K. Chan, Linfeng Jiang, Dominik Krug

专题命中通用世界模型：predictive model(title,abstract)；predictive models(abstract)

Comments 38 pages, 14 figures

Journal ref Chem. Eng. Sci. 321 (2026), 122850

2306.03833 2025-11-03 cs.LG 53%

Decoding Virtual Healthcare Success through Knowledge-Aware and Multimodal Predictive Modeling

Shuang Geng, Wenli Zhang, Jiaheng Xie, Gemin Liang, Ben Niu, Sudha Ram

专题命中通用世界模型：predictive model(title,abstract)；分类 cs.LG

1. 通用世界模型 4314 篇

Neuromorphic Processing and Sensing: Evolutionary Progression of AI to Spiking

Comparing probabilistic predictive models applied to football

Temporal Difference Models: Model-Free Deep RL for Model-Based Control

The Effect of Person-Specific Biometrics in Improving Generic Stress Predictive Models

Learning From Brains How to Regularize Machines

Learning Robust Options by Conditional Value at Risk Optimization

Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction

Surprising Negative Results for Generative Adversarial Tree Search

3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents

Scenic: A Language for Scenario Specification and Scene Generation

Feature quantization for parsimonious and interpretable predictive models

Develop machine learning based predictive models for engineering protein solubility

Learning Visual Servoing with Deep Features and Fitted Q-Iteration

On the within-family Kullback-Leibler risk in Gaussian Predictive models

Apprenticeship Learning for Model Parameters of Partially Observable Environments

Predictive Models of Large Neutrino Mixing Angles

Predictive Models for Characterization of Ecological Data

Physics-Distilled Neural Network enabled by Large Language Models for Manufacturing Process-Property Predictive Modeling

Dynamical Predictive Modelling of Cardiovascular Disease Progression Post-Myocardial Infarction via ECG-Trained Artificial Intelligence Model

Optimizing Memory Allocation in Distributed Clusters with Predictive Modeling

Multi-lingual Multi-institutional Electronic Health Record based Predictive Model

What Drives Length of Stay After Elective Spine Surgery? Insights from a Decade of Predictive Modeling

Chain-of-Influence: Tracing Interdependencies Across Time and Features in Clinical Predictive Modelings

Explainable Admission-Level Predictive Modeling for Prolonged Hospital Stay in Elderly Populations: Challenges in Low- and Middle-Income Countries

Predictive Modeling of Maritime Radar Data Using Transformer Architecture

Predictive Modeling of I/O Performance for Machine Learning Training Pipelines: A Data-Driven Approach to Storage Optimization

Physics-informed self-supervised learning for predictive modeling of coronary artery digital twins

A County-Level Similarity Network of Electric Vehicle Adoption: Integrating Predictive Modeling and Graph Theory

A predictive model for bubble-particle collisions in turbulence

Decoding Virtual Healthcare Success through Knowledge-Aware and Multimodal Predictive Modeling