Ari S. Morcos

Menlo Park, United States

A Research Scientist at Facebook AI Research, Ari works to understand the mechanisms underlying neural network computation and function and uses these insights to build machine learning systems more intelligently. Ari is also involved in understanding lottery tickets, properties predictive of generalization, methods to compare representations across networks, the role of single units in computation, and strategies that measure and induce abstraction in neural network representations. Ari previously worked at DeepMind in London, and earned a Ph.D. in neurobiology at Harvard University, where he used machine learning to study the cortical dynamics underlying evidence accumulation for decision-making.

Ari's Work

Ari's Publications

July 18, 2021

Core Machine Learning

ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases

Stephane d’Ascoli, Hugo Touvron, Matthew L. Leavitt, Ari S. Morcos, Giulio Biroli, Levent Sagun

July 18, 2021