most citedBayesian neural networks with interpretable priors from Mercer kernels

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stat.AP2026

Modeling diesel output particulate matter as the Ornstein-Uhlenbeck process

Maxwell Bolt, Alex Alberts, Akash S. Desai +2

Diesel engine particulate matter (PM) is one of the most challenging emission constituents to predict. As engines become cleaner and emissions levels drop, manufacturers need relia…