متابعة
Phillip E. Pope
Phillip E. Pope
University of Maryland, College Park
بريد إلكتروني تم التحقق منه على cs.umd.edu - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Explainability methods for graph convolutional neural networks‏
PE Pope, S Kolouri, M Rostami, CE Martin, H Hoffmann‏
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019‏
6672019
Sliced-wasserstein autoencoder: An embarrassingly simple generative model‏
S Kolouri, PE Pope, CE Martin, GK Rohde‏
arXiv preprint arXiv:1804.01947, 2018‏
3112018
The intrinsic dimension of images and its impact on learning‏
P Pope, C Zhu, A Abdelkader, M Goldblum, T Goldstein‏
arXiv preprint arXiv:2104.08894, 2021‏
2912021
Influence functions in deep learning are fragile‏
S Basu, P Pope, S Feizi‏
arXiv preprint arXiv:2006.14651, 2020‏
2432020
Stochastic training is not necessary for generalization‏
J Geiping, M Goldblum, PE Pope, M Moeller, T Goldstein‏
arXiv preprint arXiv:2109.14119, 2021‏
862021
A comprehensive study of image classification model sensitivity to foregrounds, backgrounds, and visual attributes‏
M Moayeri, P Pope, Y Balaji, S Feizi‏
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022‏
582022
Inverse design of two-dimensional airfoils using conditional generative models and surrogate log-likelihoods‏
Q Chen, J Wang, P Pope, W Chen, M Fuge‏
Journal of Mechanical Design 144 (2), 021712, 2022‏
382022
Learning a domain-invariant embedding for unsupervised domain adaptation using class-conditioned distribution alignment‏
AJ Gabourie, M Rostami, PE Pope, S Kolouri, K Kim‏
2019 57th annual allerton conference on communication, control, and …, 2019‏
292019
Adversarial robustness of flow-based generative models‏
P Pope, Y Balaji, S Feizi‏
International Conference on Artificial Intelligence and Statistics, 3795-3805, 2020‏
202020
Discovering molecular functional groups using graph convolutional neural networks‏
P Pope, S Kolouri, M Rostrami, C Martin, H Hoffmann‏
arXiv preprint arXiv:1812.00265, 2018‏
162018
Learning airfoil manifolds with optimal transport‏
Q Chen, P Pope, M Fuge‏
AIAA scitech 2022 forum, 2352, 2022‏
102022
Towards combinatorial generalization for catalysts: a kohn-sham charge-density approach‏
P Pope, D Jacobs‏
Advances in Neural Information Processing Systems 36, 60585-60598, 2023‏
42023
System and method for discovering chemically active compounds of a molecule‏
S Kolouri, PE Pope, M Rostami, CE Martin, H Hoffmann‏
US Patent 11,791,018, 2023‏
12023
Sliced Wasserstein auto-encoders‏
S Kolouri, PE Pope, CE Martin, GK Rohde‏
International Conference on Learning Representations, 2018‏
2018
Sliced Wasserstein auto-encoders‏
S Kolouri, PE Pope, CE Martin, GK Rohde‏
International Conference on Learning Representations, 2018‏
2018
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مقالات 1–15