Charles Godfrey

20 papers A* 3Journal 14Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Likert or Not: LLM Absolute Relevance Judgments on Fine-Grained Ordinal Scales. CoRR Charles Godfrey, Ping Nie, Natalia Ostapuk, David Ken, Shang Gao, Souheil Inati
2023	J	`jnl`	Attributing Learned Concepts in Neural Networks to Training Data. CoRR Nicholas Konz, Charles Godfrey, Madelyn Shapiro, Jonathan H. Tu, Henry Kvinge, Davis Brown
2023	J	`jnl`	Exploring the Representation Manifolds of Stable Diffusion Through the Lens of Intrinsic Dimension. CoRR Henry Kvinge, Davis Brown, Charles Godfrey
2023	J	`jnl`	Fast computation of permutation equivariant layers with the partition algebra. CoRR Charles Godfrey, Michael G. Rawson, Davis Brown, Henry Kvinge
2023	—	`conf`	How many dimensions are required to find an adversarial example? CVPR Workshops Charles Godfrey, Henry Kvinge, Elise Bishoff, Myles Mckay, Davis Brown, Tim Doster, Eleanor Byler
2023	J	`jnl`	How many dimensions are required to find an adversarial example? CoRR Charles Godfrey, Henry Kvinge, Elise Bishoff, Myles Mckay, Davis Brown, Tim Doster, Eleanor Byler
2023	J	`jnl`	Impact of architecture on robustness and interpretability of multispectral deep neural networks. CoRR Charles Godfrey, Elise Bishoff, Myles Mckay, Eleanor Byler
2023	—	`conf`	Internal representations of vision models through the lens of frames on data manifolds. NeurReps Henry Kvinge, Grayson Jorgenson, Davis Brown, Charles Godfrey, Tegan Emerson
2023	A*	`conf`	Neural Image Compression: Generalization, Robustness, and Spectral Biases. NeurIPS Kelsey Lieberman, James Diffenderfer, Charles Godfrey, Bhavya Kailkhura
2023	J	`jnl`	Neural Image Compression: Generalization, Robustness, and Spectral Biases. CoRR Kelsey Lieberman, James Diffenderfer, Charles Godfrey, Bhavya Kailkhura
2023	J	`jnl`	Quantifying the robustness of deep multispectral segmentation models against natural perturbations and data poisoning. CoRR Elise Bishoff, Charles Godfrey, Myles Mckay, Eleanor Byler
2023	J	`jnl`	Robustness of edited neural networks. CoRR Davis Brown, Charles Godfrey, Cody Nizinski, Jonathan H. Tu, Henry Kvinge
2023	J	`jnl`	Understanding the Inner Workings of Language Models Through Representation Dissimilarity. CoRR Davis Brown, Charles Godfrey, Nicholas Konz, Jonathan H. Tu, Henry Kvinge
2023	A*	`conf`	Understanding the Inner-workings of Language Models Through Representation Dissimilarity. EMNLP Davis Brown, Charles Godfrey, Nicholas Konz, Jonathan H. Tu, Henry Kvinge
2022	J	`jnl`	Convolutional networks inherit frequency sensitivity from image statistics. CoRR Charles Godfrey, Elise Bishoff, Myles Mckay, Davis Brown, Grayson Jorgenson, Henry Kvinge, Eleanor Byler
2022	—	`conf`	Fiber Bundle Morphisms as a Framework for Modeling Many-to-Many Maps. TAG-ML Elizabeth Coda, Nico Courts, Colby Wight, Loc Truong, WoongJo Choi, Charles Godfrey, Tegan Emerson, Keerti Kappagantula, Henry Kvinge
2022	J	`jnl`	Fiber Bundle Morphisms as a Framework for Modeling Many-to-Many Maps. CoRR Elizabeth Coda, Nico Courts, Colby Wight, Loc Truong, WoongJo Choi, Charles Godfrey, Tegan Emerson, Keerti Kappagantula, Henry Kvinge
2022	J	`jnl`	Neural frames: A Tool for Studying the Tangent Bundles Underlying Image Datasets and How Deep Learning Models Process Them. CoRR Henry Kvinge, Grayson Jorgenson, Davis Brown, Charles Godfrey, Tegan Emerson
2022	A*	`conf`	On the Symmetries of Deep Learning Models and their Internal Representations. NeurIPS Charles Godfrey, Davis Brown, Tegan Emerson, Henry Kvinge
2022	J	`jnl`	On the Symmetries of Deep Learning Models and their Internal Representations. CoRR Charles Godfrey, Davis Brown, Tegan Emerson, Henry Kvinge