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Jarzynski Reweighting and Sampling Dynamics for Training Energy-Based Models: Theoretical Analysis of Different Transition Kernels

• Authors : Carbone, Davide

Subjects: Computer Science - Machine Learning; Physics - Computational Physics

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Probability Consistency in Large Language Models: Theoretical Foundations Meet Empirical Discrepancies

• Authors : Luo, Xiaoliang; Xu, Xinyi; Ramscar, Michael

Subjects: Computer Science - Computation and Language

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A Survey of Optimization Methods for Training DL Models: Theoretical Perspective on Convergence and Generalization

• Authors : Wang, Jing; Choromanska, Anna

Subjects: Computer Science - Machine Learning; Computer Science - Distributed, Parallel, and Cluster Computing; Mathematics - Optimization and Control

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Adversarial Transferability in Deep Denoising Models: Theoretical Insights and Robustness Enhancement via Out-of-Distribution Typical Set Sampling

• Authors : Ning, Jie; Sun, Jiebao; Shi, Shengzhu

Subjects: Computer Science - Computer Vision and Pattern Recognition

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Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and Method

• Authors : Pan, Bikang; Huang, Wei; Shi, Ye

Subjects: Computer Science - Machine Learning; Computer Science - Computation and Language; Computer Science - Computer Vision and Pattern Recognition

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The Heterophilic Graph Learning Handbook: Benchmarks, Models, Theoretical Analysis, Applications and Challenges

• Authors : Luan, Sitao; Hua, Chenqing; Lu, Qincheng

Subjects: Computer Science - Machine Learning; Computer Science - Social and Information Networks

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A Survey on Compositional Learning of AI Models: Theoretical and Experimental Practices

• Authors : Sinha, Sania; Premsri, Tanawan; Kordjamshidi, Parisa

Subjects: Computer Science - Artificial Intelligence

• Source: Transactions of Machine Learning Research, 2024

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Channel Orthogonalization with Reconfigurable Surfaces: General Models, Theoretical Limits, and Effective Configuration

• Authors : Alegría, Juan Vidal; Thunberg, Johan; Edfors, Ove

Subjects: Computer Science - Information Theory; Electrical Engineering and Systems Science - Signal Processing

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Generative AI Models Theoretical Foundations and Algorithmic Practices

• Authors : Cao, Yongnian; Yang, Xuechun; Sun, Rui

Subjects: Generative AI; Variational Autoencoders (VAEs); Generative Adversarial Networks (GANs)

• Source: Journal of Industrial Engineering and Applied Science; Vol. 3 No. 1 (2025); 1-9; 3005-6071; 3005-608X

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Analysis of a mathematical model for malaria using data-driven approach.

• Authors : Rajnarayanan A; School of Engineering and Science, Indian Institute of Technology Madras Zanzibar, PO Box 394, Bweleo, Zanzibar, Urban West, 71215, Tanzania.; Kumar M

Subjects: Malaria*/Malaria*/Malaria*/transmission ; Malaria*/Malaria*/Malaria*/epidemiology ; Models, Theoretical*

• Source: Scientific reports [Sci Rep] 2025 Jul 26; Vol. 15 (1), pp. 27272. Date of Electronic Publication: 2025 Jul 26.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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