Author

Lébé Vincent

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#machine learning Preprint Sep 2026

Autoregressive Physics-Informed Neural Operator Surrogates and Joint 4-D Seismic-Production Bayesian History Matching

A surrogate-accelerated Bayesian history-matching framework, demonstrated on a realistic synthetic model, with an exposure bound and a Loewner-order inequality explaining why joint assimilation is no less informative.

Clement Etienam, D. Blom, H. Pattathil et al. · 0 citations

#artificial intelligence Review Sep 2026

Building Trust in Artificial Intelligence: A Necessity for Railway Applications

It is shown that fostering deep trust in AI, as now required by regulatory frameworks worldwide, will unlock its full potential and transform the pace of adoption across mission-critical domains.

Lefebvre Renard Clément, Lébé Vincent, Dannert Ricardo et al. · 0 citations