430 citations · 760 across the 67 of their papers we have counts for
4 papers · 1 filter
Physics is the New Data
Sergei V. Kalinin, Maxim Ziatdinov, Bobby G. Sumpter +1
The rapid development of machine learning (ML) methods has fundamentally affected numerous applications ranging from computer vision, biology, and medicine to accounting and text a…
Robust Feature Disentanglement in Imaging Data via Joint Invariant Variational Autoencoders: from Cards to Atoms
Maxim Ziatdinov, Sergei Kalinin
Recent advances in imaging from celestial objects in astronomy visualized via optical and radio telescopes to atoms and molecules resolved via electron and probe microscopes are ge…
Mapping causal patterns in crystalline solids
Chris Nelson, Anna N. Morozovska, Maxim A. Ziatdinov +4
The evolution of the atomic structures of the combinatorial library of Sm-substituted thin film BiFeO3 along the phase transition boundary from the ferroelectric rhombohedral phase…
Ensemble learning and iterative training (ELIT) machine learning: applications towards uncertainty quantification and automated experiment in atom-resolved microscopy
Ayana Ghosh, Bobby G. Sumpter, Ondrej Dyck +2
Deep learning has emerged as a technique of choice for rapid feature extraction across imaging disciplines, allowing rapid conversion of the data streams to spatial or spatiotempor…