no code implementations • 19 Nov 2023 • Sarah E. Harvey, Brett W. Larsen, Alex H. Williams
A multitude of (dis)similarity measures between neural network representations have been proposed, resulting in a fragmented research landscape.
1 code implementation • 9 Oct 2023 • Dean A. Pospisil, Brett W. Larsen, Sarah E. Harvey, Alex H. Williams
Measuring geometric similarity between high-dimensional network representations is a topic of longstanding interest to neuroscience and deep learning.
no code implementations • 18 Jul 2021 • Christopher H. Stock, Sarah E. Harvey, Samuel A. Ocko, Surya Ganguli
We introduce a novel, biologically plausible local learning rule that provably increases the robustness of neural dynamics to noise in nonlinear recurrent neural networks with homogeneous nonlinearities.
