6 citations · 13 across the 12 of their papers we have counts for
3 papers · 1 filter
Duality of Bures and Shape Distances with Implications for Comparing Neural Representations
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. Most of these measures fall into on…
Soft Matching Distance: A metric on neural representations that captures single-neuron tuning
Meenakshi Khosla, Alex H. Williams
Common measures of neural representational (dis)similarity are designed to be insensitive to rotations and reflections of the neural activation space. Motivated by the premise that…
Estimating Shape Distances on Neural Representations with Limited Samples
Dean A. Pospisil, Brett W. Larsen, Sarah E. Harvey +1
Measuring geometric similarity between high-dimensional network representations is a topic of longstanding interest to neuroscience and deep learning. Although many methods have be…