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Embedding generalization within the learning dynamics: An approach based-on sample path large deviation theory

• Authors : Befekadu, Getachew K.

Subjects: Mathematics - Optimization and Control; Statistics - Machine Learning

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Exceptionally Large Fluctuations in Orientational Order: The Lessons of Large-Deviation Theory for Liquid Crystalline Systems

• Authors : Mainas, Eleftherios; Stratt, Richard M.

Subjects: Condensed Matter - Soft Condensed Matter; Physics - Chemical Physics

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Optimal finite-differences discretization for the diffusion equation from the perspective of large-deviation theory

• Authors : Smith, Naftali R.

Subjects: Condensed Matter - Statistical Mechanics; Physics - Computational Physics

• Source: J. Stat. Mech. (2024) 043201

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Stretched-exponential relaxation in weakly-confined Brownian systems through large deviation theory

• Authors : Defaveri, Lucianno; Barkai, Eli; Kessler, David A.

Subjects: Condensed Matter - Statistical Mechanics

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The Entropy Method in Large Deviation Theory

• Authors : Yu, Lei

Subjects: Mathematics - Probability; Computer Science - Information Theory

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Large deviation theory-based adaptive importance sampling for rare events in high dimensions

• Authors : Tong, Shanyin; Stadler, Georg

Subjects: Statistics - Computation; Mathematics - Numerical Analysis; Mathematics - Optimization and Control

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Applications of large deviation theory in geophysical fluid dynamics and climate science

• Authors : Gálfi, Vera Melinda; Lucarini, Valerio; Ragone, Francesco

Subjects: Large deviation theory; Climate system; Geophysical fluid dynamics

• Source: La Rivista del nuovo cimento della Società italiana di fisica. 44(6):291-363

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Probabilistic Models with Nonlocal Correlations: Numerical Evidence of q-Large Deviation Theory

• Authors : Zamora, Dario Javier; Tsallis, Constantino

Subjects: Condensed Matter - Statistical Mechanics

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A large deviation theory perspective on nanoscale transport phenomena.

• Authors : Limmer, David T.^1,2,3,4 (AUTHOR) ; Gao, Chloe Y.^1,4 (AUTHOR); Poggioli, Anthony R.^1,2 (AUTHOR)

• Source: European Physical Journal B: Condensed Matter. Jul2021, Vol. 94 Issue 7, p1-16. 16p.

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Entropy Regularized Reinforcement Learning Using Large Deviation Theory

• Authors : Arriojas, Argenis; Adamczyk, Jacob; Tiomkin, Stas

Subjects: Computer Science - Machine Learning; Condensed Matter - Statistical Mechanics; Computer Science - Artificial Intelligence

• Source: Phys. Rev. Research 5, 023085 (2023)

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