Phillip Pope

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 11

Top Topics

Generative Model

Image Retrieval

Visual Attributes

Top Venues

Publications

Phillip Pope, David Jacobs
Towards Combinatorial Generalization for Catalysts: A Kohn-Sham Charge-Density Approach. CoRR (2023)
Phillip Pope, David Jacobs
Towards Combinatorial Generalization for Catalysts: A Kohn-Sham Charge-Density Approach. NeurIPS (2023)
Jonas Geiping, Micah Goldblum, Phillip Pope, Michael Moeller, Tom Goldstein
Stochastic Training is Not Necessary for Generalization. ICLR (2022)
Mazda Moayeri, Phillip Pope, Yogesh Balaji, Soheil Feizi
A Comprehensive Study of Image Classification Model Sensitivity to Foregrounds, Backgrounds, and Visual Attributes. CVPR (2022)
Mazda Moayeri, Phillip Pope, Yogesh Balaji, Soheil Feizi
A Comprehensive Study of Image Classification Model Sensitivity to Foregrounds, Backgrounds, and Visual Attributes. CoRR (2022)
Phillip Pope, Chen Zhu, Ahmed Abdelkader, Micah Goldblum, Tom Goldstein
The Intrinsic Dimension of Images and Its Impact on Learning. CoRR (2021)
Phillip Pope, Chen Zhu, Ahmed Abdelkader, Micah Goldblum, Tom Goldstein
The Intrinsic Dimension of Images and Its Impact on Learning. ICLR (2021)
Samyadeep Basu, Phillip Pope, Soheil Feizi
Influence Functions in Deep Learning Are Fragile. ICLR (2021)
Phillip Pope, Yogesh Balaji, Soheil Feizi
Adversarial Robustness of Flow-Based Generative Models. AISTATS (2020)
Samyadeep Basu, Phillip Pope, Soheil Feizi
Influence Functions in Deep Learning Are Fragile. CoRR (2020)
Phillip Pope, Yogesh Balaji, Soheil Feizi
Adversarial Robustness of Flow-Based Generative Models. CoRR (2019)