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Cybertyper

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Large deviation principles for convolutional Bayesian neural networks

Published in arXiv preprint, arXiv:2603.06023, 2026

We establish a large deviation principle for convolutional neural networks in the infinite-channel regime, covering both the conditional covariance matrices under a Gaussian prior and the posterior obtained by conditioning on finitely many observations.

Recommended citation: Bassetti, F., De Palma, V., & Ladelli, L. (2026). "Large deviation principles for convolutional Bayesian neural networks." arXiv preprint arXiv:2603.06023.
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