Research fellow at Flatiron Institute, working on understanding optimization in deep learning. Previously: PhD in machine learning at Carnegie Mellon.
Jeremy Cohen is a Research Fellow at the Flatiron Institute working on optimization dynamics in deep neural networks. He completed his PhD in machine learning at Carnegie Mellon and is known for research on the Edge of Stability phenomenon. Classified as Researcher for publishing theoretical ML work.
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