4 citations · 6 across the 3 of their papers we have counts for
3 papers
How to optimize neuroscience data utilization and experiment design for advancing brain models of visual and linguistic cognition?
Greta Tuckute, Dawn Finzi, Eshed Margalit +8
In recent years, neuroscience has made significant progress in building large-scale artificial neural network (ANN) models of brain activity and behavior. However, there is no cons…
The Limiting Dynamics of SGD: Modified Loss, Phase Space Oscillations, and Anomalous Diffusion
Daniel Kunin, Javier Sagastuy-Brena, Lauren Gillespie +4
In this work we explore the limiting dynamics of deep neural networks trained with stochastic gradient descent (SGD). As observed previously, long after performance has converged,…
Validation and generalization of pixel-wise relevance in convolutional neural networks trained for face classification
Jñani Crawford, Eshed Margalit, Kalanit Grill-Spector +1
The increased use of convolutional neural networks for face recognition in science, governance, and broader society has created an acute need for methods that can show how these 'b…