2 papers
cs.CV2025
Moment kernels: a simple and scalable approach for equivariance to rotations and reflections in deep convolutional networks
Zachary Schlamowitz, Siqi Fang, Andrew Bennecke +1
Translation equivariance is a central reason convolutional neural networks have been successful in computer vision. Other symmetries, such as rotations and reflections, are similar…
q-bio.NC2025
Skeletonization of neuronal processes using Discrete Morse techniques from computational topology
Samik Banerjee, Caleb Stam, Daniel J. Tward +3
To understand biological intelligence we need to map neuronal networks in vertebrate brains. Mapping mesoscale neural circuitry is done using injections of tracers that label group…