3 citations · 6 across the 6 of their papers we have counts for
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Weight-Sharing Regularization
Mehran Shakerinava, Motahareh Sohrabi, Siamak Ravanbakhsh +1
Weight-sharing is ubiquitous in deep learning. Motivated by this, we propose a "weight-sharing regularization" penalty on the weights of a neural network, defi…
Transformation Coding: Simple Objectives for Equivariant Representations
Mehran Shakerinava, Arnab Kumar Mondal, Siamak Ravanbakhsh
We present a simple non-generative approach to deep representation learning that seeks equivariant deep embedding through simple objectives. In contrast to existing equivariant net…
Equivariant Networks for Pixelized Spheres
Mehran Shakerinava, Siamak Ravanbakhsh
Pixelizations of Platonic solids such as the cube and icosahedron have been widely used to represent spherical data, from climate records to Cosmic Microwave Background maps. Plato…