From the 2 of 6 linked papers with an AI index.
6 papers
From Reconstruction to Interpretation: Zero-Setup Multi-Phase Segmentation of X-ray Tomography Data
Pradyumna Elavarthi, Arun J. Bhattacharjee, Harrison Lisabeth +4
The paper introduces a zero‑setup framework that automatically segments multi‑phase regions in synchrotron X‑ray tomography volumes using a pretrained semantic segmentation network…
Unlocking Latent Dimensions: Exploring Representations of Large-Scale X-ray Scattering Data using Variational Autoencoders
Monika Choudhary, Xiaoya Chong, Runbo Jiang +25
The paper presents a convolutional variational autoencoder trained on millions of X-ray scattering images to create low‑dimensional latent representations that help explore and ana…
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…
Conformal Tradeoffs: Operational Profiles Beyond Coverage
Petrus H. Zwart
Conformal prediction gives exact finite-sample coverage guarantees under exchangeability, but deployed systems are judged by more than coverage alone. For a fixed calibrated rule r…
Probabilistic Conformal Coverage Guarantees in Small-Data Settings
Petrus H. Zwart
Conformal prediction provides distribution-free prediction sets with guaranteed marginal coverage. However, in split conformal prediction this guarantee is training-conditional onl…
Behind the Noise: Conformal Quantile Regression Reveals Emergent Representations
Petrus H. Zwart, Tamas Varga, Odeta Qafoku +1
Scientific imaging often involves long acquisition times to obtain high-quality data, especially when probing complex, heterogeneous systems. However, reducing acquisition time to…