3 papers
cs.CV2025
Moment kernels: a simple and scalable approach for equivariance to rotations and reflections in deep convolutional networks
Siqi Fang, Zachary Schlamowitz, 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.BM2024
Examining the Link Between Peroxiredoxin Proteins and Mutually Exclusive Transcription Factor Activation With a Mathematical Model
Zachary Schlamowitz, Andrew L. Paek, Kevin K. Lin
Oxidative stress is a fundamental stimulus to which eukaryotic cells respond via many channels. Among these channels are both protein systems that process oxidative stress, such as…
cs.IR2022
The DOPE Distance is SIC: A Stable, Informative, and Computable Metric on Time Series And Ordered Merge Trees
Christopher J. Tralie, Zachary Schlamowitz, Jose Arbelo +3
Metrics for merge trees that are simultaneously stable, informative, and efficiently computable have so far eluded researchers. We show in this work that it is possible to devise s…