1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.LG2022★ 1 cited
Zeroth-Order Topological Insights into Iterative Magnitude Pruning
Aishwarya Balwani, Jakob Krzyston
Modern-day neural networks are famously large, yet also highly redundant and compressible; there exist numerous pruning strategies in the deep learning literature that yield over 9…
cs.CV2020
High-Capacity Complex Convolutional Neural Networks For I/Q Modulation Classification
Jakob Krzyston, Rajib Bhattacharjea, Andrew Stark
I/Q modulation classification is a unique pattern recognition problem as the data for each class varies in quality, quantified by signal to noise ratio (SNR), and has structure in…
cs.LG2020
Modulation Pattern Detection Using Complex Convolutions in Deep Learning
Jakob Krzyston, Rajib Bhattacharjea, Andrew Stark
Transceivers used for telecommunications transmit and receive specific modulation patterns that are represented as sequences of complex numbers. Classifying modulation patterns is…