Characterizing out-of-distribution generalization of neural networks: application to the disordered Su–Schrieffer–Heeger model by Kacper Cybiński, Marcin Płodzień, Michał Tomza, Maciej Lewenstein, Alexandre Dauphin, Anna Dawid

Subjects: “…out-of-distribution generalization…”
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From Labquakes to Megathrusts: Scaling Deep Learning Based Pickers Over 15 Orders of Magnitude by Peidong Shi, Men‐Andrin Meier, Linus Villiger, Katinka Tuinstra, Paul Antony Selvadurai, Federica Lanza, Sanyi Yuan, Anne Obermann, Maria Mesimeri, Jannes Münchmeyer, Patrick Bianchi, Stefan Wiemer

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Learning to solving vehicle routing problems via local–global feature fusion transformer by Wei Li, Bing Tian Dai, Xueming Yan, Junying Zou, Zhijie Liang, Jingwen Li

Subjects: “…Cross-size and cross-distribution generalization…”
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A comparison among Different Methods for Estimating Regression Parameters with Autocorrelation Problem under Exponentially Distributed Error by Ahmed Dheyab Ahmed, Baydaa Ismael Abdulwahhab, Ebtisam Karim Abdulah

Subjects: “…Autocorrelation, Exponential distribution, General least squares method, Laplace robust method, M robust method, Multiple linear regression…”
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A distributional representation of strip analytic functions by Dragiŝa Mitrović

Subjects: “…Cauchy representation of a distribution (generalized Cauchy integral)…”
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