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07/24/2023
On Privileged and Convergent Bases in Neural Network Representations
In this study, we investigate whether the representations learned by neu...
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03/24/2023
How many dimensions are required to find an adversarial example?
Past work exploring adversarial vulnerability have focused on situations...
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03/10/2023
Fast computation of permutation equivariant layers with the partition algebra
Linear neural network layers that are either equivariant or invariant to...
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02/28/2023
Robustness of edited neural networks
Successful deployment in uncertain, real-world environments requires tha...
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02/16/2023
Exploring the Representation Manifolds of Stable Diffusion Through the Lens of Intrinsic Dimension
Prompting has become an important mechanism by which users can more effe...
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12/01/2022
Experimental Observations of the Topology of Convolutional Neural Network Activations
Topological data analysis (TDA) is a branch of computational mathematics...
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11/19/2022
Neural frames: A Tool for Studying the Tangent Bundles Underlying Image Datasets and How Deep Learning Models Process Them
The assumption that many forms of high-dimensional data, such as images,...
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10/03/2022
Convolutional networks inherit frequency sensitivity from image statistics
It is widely acknowledged that trained convolutional neural networks (CN...
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08/14/2022
The SVD of Convolutional Weights: A CNN Interpretability Framework
Deep neural networks used for image classification often use convolution...
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05/27/2022
On the Symmetries of Deep Learning Models and their Internal Representations
Symmetry has been a fundamental tool in the exploration of a broad range...
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10/14/2021