Associate Professor, Helmholtz Center CISPA for Information Security
3 papers at NeurIPS 2025
Reparameterizing sparse training for improved PaI by enabling sign flips
We study the training dynamic of sparse neural networks through the lens of Graphon where masks of pruning methods converge to graphons as networks' width approach infinite
