no code implementations • 7 Jan 2024 • Greta Tuckute, Dawn Finzi, Eshed Margalit, Joel Zylberberg, SueYeon Chung, Alona Fyshe, Evelina Fedorenko, Nikolaus Kriegeskorte, Jacob Yates, Kalanit Grill Spector, Kohitij Kar
In recent years, neuroscience has made significant progress in building large-scale artificial neural network (ANN) models of brain activity and behavior.
no code implementations • 29 Sep 2021 • Daniel Kunin, Javier Sagastuy-Brena, Lauren Gillespie, Eshed Margalit, Hidenori Tanaka, Surya Ganguli, Daniel LK Yamins
In this work we explore the limiting dynamics of deep neural networks trained with stochastic gradient descent (SGD).
1 code implementation • 19 Jul 2021 • Daniel Kunin, Javier Sagastuy-Brena, Lauren Gillespie, Eshed Margalit, Hidenori Tanaka, Surya Ganguli, Daniel L. K. Yamins
In this work we explore the limiting dynamics of deep neural networks trained with stochastic gradient descent (SGD).
no code implementations • 16 Jun 2020 • Jñani Crawford, Eshed Margalit, Kalanit Grill-Spector, Sonia Poltoratski
To be interpretable and useful to humans, such a method should convey a model's learned classification strategy in a way that is robust to random initializations or spurious correlations in input data.