Davis Brown

According to our database, Davis Brown authored at least 15 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

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

Cody Tipton, Elizabeth Coda, Davis Brown, Alyson Bittner, Jung H. Lee, Grayson Jorgenson, Tegan Emerson, Henry Kvinge

CoRR, 2023

Attributing Learned Concepts in Neural Networks to Training Data.

Nicholas Konz, Charles Godfrey, Madelyn Shapiro, Jonathan Tu, Henry Kvinge, Davis Brown

CoRR, 2023

On Privileged and Convergent Bases in Neural Network Representations.

Davis Brown, Nikhil Vyas, Yamini Bansal

CoRR, 2023

Fast computation of permutation equivariant layers with the partition algebra.

Charles Godfrey, Michael G. Rawson, Davis Brown, Henry Kvinge

CoRR, 2023

Robustness of edited neural networks.

Davis Brown, Charles Godfrey, Cody Nizinski, Jonathan Tu, Henry Kvinge

CoRR, 2023

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

Henry Kvinge, Davis Brown, Charles Godfrey

CoRR, 2023

Understanding the Inner-workings of Language Models Through Representation Dissimilarity.

Davis Brown, Charles Godfrey, Nicholas Konz, Jonathan Tu, Henry Kvinge

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

How many dimensions are required to find an adversarial example?

Charles Godfrey, Henry Kvinge, Elise Bishoff, Myles Mckay, Davis Brown, Tim Doster, Eleanor Byler

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Making Corgis Important for Honeycomb Classification: Adversarial Attacks on Concept-based Explainability Tools.

Davis Brown, Henry Kvinge

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Experimental Observations of the Topology of Convolutional Neural Network Activations.

Emilie Purvine, Davis Brown, Brett A. Jefferson, Cliff A. Joslyn, Brenda Praggastis, Archit Rathore, Madelyn Shapiro, Bei Wang, Youjia Zhou

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Neural frames: A Tool for Studying the Tangent Bundles Underlying Image Datasets and How Deep Learning Models Process Them.

Henry Kvinge, Grayson Jorgenson, Davis Brown, Charles Godfrey, Tegan Emerson

CoRR, 2022

Convolutional networks inherit frequency sensitivity from image statistics.

Charles Godfrey, Elise Bishoff, Myles Mckay, Davis Brown, Grayson Jorgenson, Henry Kvinge, Eleanor Byler

CoRR, 2022

The SVD of Convolutional Weights: A CNN Interpretability Framework.

Brenda Praggastis, Davis Brown, Carlos Ortiz Marrero, Emilie Purvine, Madelyn Shapiro, Bei Wang

CoRR, 2022

On the Symmetries of Deep Learning Models and their Internal Representations.

Charles Godfrey, Davis Brown, Tegan Emerson, Henry Kvinge

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Brittle interpretations: The Vulnerability of TCAV and Other Concept-based Explainability Tools to Adversarial Attack.

Davis Brown, Henry Kvinge

CoRR, 2021