Phillip Pope

According to our database, Phillip Pope authored at least 10 papers between 2018 and 2023.

Collaborative distances:

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

2023

Towards Combinatorial Generalization for Catalysts: A Kohn-Sham Charge-Density Approach.

Phillip Pope, David Jacobs

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

2022

Stochastic Training is Not Necessary for Generalization.

Jonas Geiping, Micah Goldblum, Phillip Pope, Michael Moeller, Tom Goldstein

Proceedings of the Tenth International Conference on Learning Representations, 2022

A Comprehensive Study of Image Classification Model Sensitivity to Foregrounds, Backgrounds, and Visual Attributes.

Mazda Moayeri, Phillip Pope, Yogesh Balaji, Soheil Feizi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

The Intrinsic Dimension of Images and Its Impact on Learning.

Phillip Pope, Chen Zhu, Ahmed Abdelkader, Micah Goldblum, Tom Goldstein

Proceedings of the 9th International Conference on Learning Representations, 2021

Influence Functions in Deep Learning Are Fragile.

Samyadeep Basu, Phillip Pope, Soheil Feizi

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Adversarial Robustness of Flow-Based Generative Models.

Phillip Pope, Yogesh Balaji, Soheil Feizi

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Sliced Wasserstein Auto-Encoders.

Soheil Kolouri, Phillip E. Pope, Charles E. Martin, Gustavo K. Rohde

Proceedings of the 7th International Conference on Learning Representations, 2019

Explainability Methods for Graph Convolutional Neural Networks.

Phillip E. Pope, Soheil Kolouri, Mohammad Rostami, Charles E. Martin, Heiko Hoffmann

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Learning a Domain-Invariant Embedding for Unsupervised Domain Adaptation Using Class-Conditioned Distribution Alignment.

Alexander J. Gabourie, Mohammad Rostami, Phillip E. Pope, Soheil Kolouri, Kyungnam Kim

Proceedings of the 57th Annual Allerton Conference on Communication, 2019

2018

Discovering Molecular Functional Groups Using Graph Convolutional Neural Networks.

Phillip E. Pope, Soheil Kolouri, Mohammad Rostami, Charles E. Martin, Heiko Hoffmann

CoRR, 2018