2 papers
cs.CV2026
Accurate Shift Invariant Convolutional Neural Networks Using Gaussian-Hermite Moments
Jaspreet Singh, Petra Bosilj, Grzegorz Cielniak
The convolutional neural networks (CNNs) are not inherently shift invariant or equivariant. The downsampling operation, used in CNNs, is one of the key reasons which breaks the shi…
cs.LG2023
Neural Fields with Hard Constraints of Arbitrary Differential Order
Fangcheng Zhong, Kyle Fogarty, Param Hanji +6
While deep learning techniques have become extremely popular for solving a broad range of optimization problems, methods to enforce hard constraints during optimization, particular…