Charles Godfrey

According to our database, Charles Godfrey authored at least 13 papers between 2022 and 2023.

Collaborative distances:

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

2023

Attributing Learned Concepts in Neural Networks to Training Data.

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

CoRR, 2023

Impact of architecture on robustness and interpretability of multispectral deep neural networks.

Charles Godfrey, Elise Bishoff, Myles Mckay, Eleanor Byler

CoRR, 2023

Quantifying the robustness of deep multispectral segmentation models against natural perturbations and data poisoning.

Elise Bishoff, Charles Godfrey, Myles Mckay, Eleanor Byler

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

Neural Image Compression: Generalization, Robustness, and Spectral Biases.

Kelsey Lieberman, James Diffenderfer, Charles Godfrey, Bhavya Kailkhura

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

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

Fiber Bundle Morphisms as a Framework for Modeling Many-to-Many Maps.

Elizabeth Coda, Nico Courts, Colby Wight, Loc Truong, WoongJo Choi, Charles Godfrey, Tegan Emerson, Keerti Kappagantula, Henry Kvinge

Proceedings of the Topological, 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