3 papers
cs.LG2026
Unlocking Latent Dimensions: Exploring Representations of Large-Scale X-ray Scattering Data using Variational Autoencoders
Monika Choudhary, Xiaoya Chong, Runbo Jiang +25
Scientific user facilities generate X-ray scattering data faster than traditional workflows can process them. We address this challenge across two settings, offline dataset explora…
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…
eess.IV2024
Generating Realistic X-ray Scattering Images Using Stable Diffusion and Human-in-the-loop Annotations
Zhuowen Zhao, Xiaoya Chong, Tanny Chavez +1
We fine-tuned a foundational stable diffusion model using X-ray scattering images and their corresponding descriptions to generate new scientific images from given prompts. However…