44 citations · 45 across the 2 of their papers we have counts for
2 papers
cs.LG2024★ 1 cited
Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI
Theodore Papamarkou, Maria Skoularidou, Konstantina Palla +22
In the current landscape of deep learning research, there is a predominant emphasis on achieving high predictive accuracy in supervised tasks involving large image and language dat…
cs.LG2019★ 44 cited
Deep Scale-spaces: Equivariance Over Scale
Daniel E. Worrall, Max Welling
We introduce deep scale-spaces (DSS), a generalization of convolutional neural networks, exploiting the scale symmetry structure of conventional image recognition tasks. Put plainl…