Probabilistic Convolutional Networks
Max discusses the concept of sampling an underlying continuous signal with irregularly distributed pixels in images, highlighting the use of gaussian processes to interpolate between data points and create uncertainty intervals for predicting signals.In this clip
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Machine Learning Street Talk (MLST)
#036 - Max Welling: Quantum, Manifolds & Symmetries in ML
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