CMX Lunch Seminar

Wednesday May 25, 2022 12:00 PM

Deep denoising for scientific discovery

Speaker: Carlos Fernandez-Granda, Courant Institute of Mathematical Science and Center for Data Science, New York University
Location: Online Event

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.

Series CMX Lunch Series

Contact: Jolene Brink at (626)395-2813 jbrink@caltech.edu
For more information visit: http://cmx.caltech.edu/