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stat.ML2022
Scale Equivariant U-Net
Mateus Sangalli, Samy Blusseau, Santiago Velasco-Forero +1
In neural networks, the property of being equivariant to transformations improves generalization when the corresponding symmetry is present in the data. In particular, scale-equiva…
stat.ML2018
Regression and Classification by Zonal Kriging
Jean Serra, Jesus Angulo, B Ravi Kiran
Consider a family , of pairs of vectors and scalars that we aim to predict for a ne…