arXiv Machine Learning August 4, 2026 By Hendrik Borras, Xiao Wang, Bernhard Klein, Robin Janssen, Frank Br\"uckerhoff-Pl\"uckelmann, Wolfram Pernice, Holger Fr\"oning

Constrained Co-Design for Photonic Bayesian Neural Networks

Read the original on arXiv Machine Learning →

arXiv:2608. 02229v1 Announce Type: new Abstract: Classical neural networks frequently produce overconfident predictions on ambiguous or out-of-distribution (OOD) data, a liability that grows with each AI system deployed in safety-critical real-world scenarios.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

arXiv Machine Learning

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arXiv Machine Learning

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arXiv AI

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By Tyler King, Timothee Leleu

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