Imaging Atomic-Scale Chemistry from Fused Multi-Modal Electron Microscopy

Kavli Affiliate: Richard D. Robinson | Summary:Efforts to map atomic-scale chemistry at low doses with minimal noise using electron microscopes are fundamentally limited by inelastic interactions. Here, fused multi-modal electron microscopy offers high signal-to-noise ratio (SNR) recovery of material chemistry at nano- and atomic- resolution by coupling correlated information encoded within both elastic scattering (high-angle […]


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CAFE: Learning to Condense Dataset by Aligning Features

Kavli Affiliate: Zheng Zhu | First 5 Authors: Kai Wang, Bo Zhao, Xiangyu Peng, Zheng Zhu, Shuo Yang | Summary: Dataset condensation aims at reducing the network training effort through condensing a cumbersome training set into a compact synthetic one. State-of-the-art approaches largely rely on learning the synthetic data by matching the gradients between the […]


Continue.. CAFE: Learning to Condense Dataset by Aligning Features