2 papers
cs.LG2026
Contrast-invariant deep ptychography neural networks
Albert Vong, Steven Henke, Oliver Hoidn +6
Ptychography neural networks suffer from scaling inconsistencies when generalizing out of distribution, limiting their real world viability. We address this scaling mismatch using…
cs.LG2026
Machine Learning-Augmented Acceleration of Iterative Ptychographic Reconstruction
Bowen Zheng, Katayun Kamdin, David Shapiro +10
Iterative ptychographic reconstruction algorithms are widely used for coherent diffractive imaging but can exhibit slow convergence under realistic experimental conditions. We prop…