Davis Brown

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 20

Top Topics

Image Statistics

Learning Models

Internal Representations

Top Venues

Publications

Davis Brown, Cody Nizinski, Madelyn Shapiro, Corey Fallon, Tianzhixi Yin, Henry Kvinge, Jonathan H. Tu
Model editing for distribution shifts in uranium oxide morphological analysis. CoRR (2024)
Nicholas Konz, Charles Godfrey, Madelyn Shapiro, Jonathan Tu, Henry Kvinge, Davis Brown
Attributing Learned Concepts in Neural Networks to Training Data. CoRR (2023)
Davis Brown, Charles Godfrey, Nicholas Konz, Jonathan Tu, Henry Kvinge
Understanding the Inner-workings of Language Models Through Representation Dissimilarity. EMNLP (2023)
Charles Godfrey, Henry Kvinge, Elise Bishoff, Myles Mckay, Davis Brown, Tim Doster, Eleanor Byler
How many dimensions are required to find an adversarial example? CVPR Workshops (2023)
Davis Brown, Charles Godfrey, Nicholas Konz, Jonathan Tu, Henry Kvinge
Understanding the Inner Workings of Language Models Through Representation Dissimilarity. CoRR (2023)
Davis Brown, Charles Godfrey, Cody Nizinski, Jonathan Tu, Henry Kvinge
Robustness of edited neural networks. CoRR (2023)
Cody Tipton, Elizabeth Coda, Davis Brown, Alyson Bittner, Jung H. Lee, Grayson Jorgenson, Tegan Emerson, Henry Kvinge
Haldane Bundles: A Dataset for Learning to Predict the Chern Number of Line Bundles on the Torus. CoRR (2023)
Davis Brown, Henry Kvinge
Making Corgis Important for Honeycomb Classification: Adversarial Attacks on Concept-based Explainability Tools. CVPR Workshops (2023)
Emilie Purvine, Davis Brown, Brett A. Jefferson, Cliff A. Joslyn, Brenda Praggastis, Archit Rathore, Madelyn Shapiro, Bei Wang, Youjia Zhou
Experimental Observations of the Topology of Convolutional Neural Network Activations. AAAI (2023)
Henry Kvinge, Davis Brown, Charles Godfrey
Exploring the Representation Manifolds of Stable Diffusion Through the Lens of Intrinsic Dimension. CoRR (2023)
Davis Brown, Nikhil Vyas, Yamini Bansal
On Privileged and Convergent Bases in Neural Network Representations. CoRR (2023)
Charles Godfrey, Michael G. Rawson, Davis Brown, Henry Kvinge
Fast computation of permutation equivariant layers with the partition algebra. CoRR (2023)
Charles Godfrey, Henry Kvinge, Elise Bishoff, Myles Mckay, Davis Brown, Tim Doster, Eleanor Byler
How many dimensions are required to find an adversarial example? CoRR (2023)
Emilie Purvine, Davis Brown, Brett A. Jefferson, Cliff A. Joslyn, Brenda Praggastis, Archit Rathore, Madelyn Shapiro, Bei Wang, Youjia Zhou
Experimental Observations of the Topology of Convolutional Neural Network Activations. CoRR (2022)
Charles Godfrey, Davis Brown, Tegan Emerson, Henry Kvinge
On the Symmetries of Deep Learning Models and their Internal Representations. NeurIPS (2022)
Charles Godfrey, Davis Brown, Tegan Emerson, Henry Kvinge
On the Symmetries of Deep Learning Models and their Internal Representations. CoRR (2022)
Charles Godfrey, Elise Bishoff, Myles Mckay, Davis Brown, Grayson Jorgenson, Henry Kvinge, Eleanor Byler
Convolutional networks inherit frequency sensitivity from image statistics. CoRR (2022)
Henry Kvinge, Grayson Jorgenson, Davis Brown, Charles Godfrey, Tegan Emerson
Neural frames: A Tool for Studying the Tangent Bundles Underlying Image Datasets and How Deep Learning Models Process Them. CoRR (2022)
Brenda Praggastis, Davis Brown, Carlos Ortiz Marrero, Emilie Purvine, Madelyn Shapiro, Bei Wang
The SVD of Convolutional Weights: A CNN Interpretability Framework. CoRR (2022)
Davis Brown, Henry Kvinge
Brittle interpretations: The Vulnerability of TCAV and Other Concept-based Explainability Tools to Adversarial Attack. CoRR (2021)