3 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…
cs.LG2026
Towards generalizable deep ptychography neural networks
Albert Vong, Steven Henke, Oliver Hoidn +8
X-ray ptychography is a data-intensive imaging technique expected to become ubiquitous at next-generation light sources delivering many-fold increases in coherent flux. The need fo…