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20232026
most citedGeneralization Bounds: Perspectives from Information Theory and PAC-Bayes

6 citations · 7 across the 9 of their papers we have counts for

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cs.LG2026

A PAC-Bayesian View of Generalisation for Physics-Informed Machine Learning

Thien V. Nguyen, Amaury Habrard, Benjamin Guedj

Physics-informed machine learning (PIML) integrates mechanistic knowledge, typically through partial differential equations (PDEs), into data-driven models. Despite strong empirica…