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20212026
most citedThe SVD of Convolutional Weights: A CNN Interpretability Framework

7 citations · 15 across the 18 of their papers we have counts for

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Showing 2023Show all

7 papers · 1 filter

cond-mat.mes-hall2023

Haldane Bundles: A Dataset for Learning to Predict the Chern Number of Line Bundles on the Torus

Cody Tipton, Elizabeth Coda, Davis Brown +5

Characteristic classes, which are abstract topological invariants associated with vector bundles, have become an important notion in modern physics with surprising real-world conse…

cs.LG2023

Understanding the Inner Workings of Language Models Through Representation Dissimilarity

Davis Brown, Charles Godfrey, Nicholas Konz +2

As language models are applied to an increasing number of real-world applications, understanding their inner workings has become an important issue in model trust, interpretability…

cs.LG2023

Attributing Learned Concepts in Neural Networks to Training Data

Nicholas Konz, Charles Godfrey, Madelyn Shapiro +3

By now there is substantial evidence that deep learning models learn certain human-interpretable features as part of their internal representations of data. As having the right (or…

cs.LG2023

How many dimensions are required to find an adversarial example?

Charles Godfrey, Henry Kvinge, Elise Bishoff +4

Past work exploring adversarial vulnerability have focused on situations where an adversary can perturb all dimensions of model input. On the other hand, a range of recent works co…

cs.LG2023

Fast computation of permutation equivariant layers with the partition algebra

Charles Godfrey, Michael G. Rawson, Davis Brown +1

Linear neural network layers that are either equivariant or invariant to permutations of their inputs form core building blocks of modern deep learning architectures. Examples incl…

cs.LG2023★ 1 cited

Edit at your own risk: evaluating the robustness of edited models to distribution shifts

Davis Brown, Charles Godfrey, Cody Nizinski +2

The current trend toward ever-larger models makes standard retraining procedures an ever-more expensive burden. For this reason, there is growing interest in model editing, which e…

cs.CL2023

Exploring the Representation Manifolds of Stable Diffusion Through the Lens of Intrinsic Dimension

Henry Kvinge, Davis Brown, Charles Godfrey

Prompting has become an important mechanism by which users can more effectively interact with many flavors of foundation model. Indeed, the last several years have shown that well-…