Graduate Student / Postdoc Seminar

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AI-powered denoising for scientific discovery

Speaker: Carlos Fernandez-Granda, Courant Institute, New York University

Location: Warren Weaver Hall 1302

Date: Friday, April 17, 2026, 1 p.m.

Synopsis:

Deep neural networks are the state of the art for many signal-processing tasks, including image denoising. However, applying these models to real-world scientific data presents substantial challenges. In this talk, we discuss these challenges and introduce a series of simulation-based, unsupervised, and semi-supervised strategies designed to overcome them. We also demonstrate that these approaches perform effectively on real electron microscopy data, revealing previously unobserved atomic-level dynamics in catalytic nanoparticles.