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2020 – today
- 2023
[c5]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: 2353-2360- [c4]Davis Brown, Charles Godfrey, Nicholas Konz, Jonathan H. Tu, Henry Kvinge:
Understanding the Inner-workings of Language Models Through Representation Dissimilarity. EMNLP 2023: 6543-6558 - [c3]Kelsey Lieberman, James Diffenderfer, Charles Godfrey, Bhavya Kailkhura:
Neural Image Compression: Generalization, Robustness, and Spectral Biases. NeurIPS 2023 - [i13]Henry Kvinge, Davis Brown, Charles Godfrey:
Exploring the Representation Manifolds of Stable Diffusion Through the Lens of Intrinsic Dimension. CoRR abs/2302.09301 (2023) - [i12]Davis Brown, Charles Godfrey, Cody Nizinski, Jonathan H. Tu, Henry Kvinge:
Robustness of edited neural networks. CoRR abs/2303.00046 (2023) - [i11]Charles Godfrey, Michael G. Rawson, Davis Brown, Henry Kvinge:
Fast computation of permutation equivariant layers with the partition algebra. CoRR abs/2303.06208 (2023) - [i10]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 abs/2303.14173 (2023) - [i9]Elise Bishoff, Charles Godfrey, Myles Mckay, Eleanor Byler:
Quantifying the robustness of deep multispectral segmentation models against natural perturbations and data poisoning. CoRR abs/2305.11347 (2023) - [i8]Kelsey Lieberman, James Diffenderfer, Charles Godfrey, Bhavya Kailkhura:
Neural Image Compression: Generalization, Robustness, and Spectral Biases. CoRR abs/2307.08657 (2023) - [i7]Charles Godfrey, Elise Bishoff, Myles Mckay, Eleanor Byler:
Impact of architecture on robustness and interpretability of multispectral deep neural networks. CoRR abs/2309.12463 (2023) - [i6]Nicholas Konz, Charles Godfrey, Madelyn Shapiro, Jonathan H. Tu, Henry Kvinge, Davis Brown:
Attributing Learned Concepts in Neural Networks to Training Data. CoRR abs/2310.03149 (2023) - [i5]Davis Brown, Charles Godfrey, Nicholas Konz, Jonathan H. Tu, Henry Kvinge:
Understanding the Inner Workings of Language Models Through Representation Dissimilarity. CoRR abs/2310.14993 (2023) - 2022
- [c2]Charles Godfrey, Davis Brown, Tegan Emerson, Henry Kvinge:
On the Symmetries of Deep Learning Models and their Internal Representations. NeurIPS 2022 - [c1]Elizabeth Coda, Nico Courts, Colby Wight, Loc Truong, WoongJo Choi, Charles Godfrey, Tegan Emerson, Keerti Kappagantula, Henry Kvinge:
Fiber Bundle Morphisms as a Framework for Modeling Many-to-Many Maps. TAG-ML 2022: 79-85 - [i4]Elizabeth Coda, Nico Courts, Colby Wight, Loc Truong, WoongJo Choi, Charles Godfrey, Tegan Emerson, Keerti Kappagantula, Henry Kvinge:
Fiber Bundle Morphisms as a Framework for Modeling Many-to-Many Maps. CoRR abs/2203.08189 (2022) - [i3]Charles Godfrey, Davis Brown, Tegan Emerson, Henry Kvinge:
On the Symmetries of Deep Learning Models and their Internal Representations. CoRR abs/2205.14258 (2022) - [i2]Charles Godfrey, Elise Bishoff, Myles Mckay, Davis Brown, Grayson Jorgenson, Henry Kvinge, Eleanor Byler:
Convolutional networks inherit frequency sensitivity from image statistics. CoRR abs/2210.01257 (2022) - [i1]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 abs/2211.10558 (2022)
Coauthor Index
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