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CMX Lunch Seminar

Wednesday, May 25, 2022
12:00pm to 1:00pm
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Deep denoising for scientific discovery
Carlos Fernandez-Granda, Associate Professor of Mathematics and Data Science, Courant Institute of Mathematical Science and Center for Data Science, New York University,

Deep-learning models for image denoising achieve impressive results when trained on standard natural-image datasets in a supervised fashion. However, unleashing their potential in practice will require developing unsupervised or semi-supervised approaches capable of learning from real data, as well as understanding the strategies learned by these models. In this talk, we will describe advances in this direction motivated by a real-world scientific application: determining the 3D atomic structure of catalytic nanoparticles from extremely noisy electron-microscope data.

For more information, please contact Jolene Brink by phone at (626)395-2813 or by email at [email protected] or visit CMX Website.