May 15, 2024, 10:02 a.m. | /u/jens_97

Machine Learning www.reddit.com

I recently started to look into this topic and I am curious which methods are SOTA and used in production? To be more specific, I am interested in modeling aleatoric and epistemic uncertainty for a neural network. In an ideal setting my model tells me when it encounters inputs that are out-of-distribution and expresses it's uncertainty for a given input in respect to the systems noise.

EDIT: I am mainly working with regression problems.

Thanks in advance! :)

inputs look machinelearning modeling network networks neural network neural networks production quantification sota uncertainty

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