Ryan Webster

According to our database, Ryan Webster authored at least 11 papers between 2018 and 2023.

Collaborative distances:

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

2023

On the Theoretical Equivalence of Several Trade-Off Curves Assessing Statistical Proximity.

Rodrigue Siry, Ryan Webster, Loïc Simon, Julien Rabin

J. Mach. Learn. Res., 2023

A Reproducible Extraction of Training Images from Diffusion Models.

Ryan Webster

CoRR, 2023

On the De-duplication of LAION-2B.

Ryan Webster, Julien Rabin, Loïc Simon, Frédéric Jurie

CoRR, 2023

2022

Width-Wise Parameter Sharing for Multi-Domain Gan Learning.

Ryan Webster, Julien Rabin, Loïc Simon, Frédéric Jurie

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021

This Person (Probably) Exists. Identity Membership Attacks Against GAN Generated Faces.

Ryan Webster, Julien Rabin, Loïc Simon, Frédéric Jurie

CoRR, 2021

2020

Equivalence of several curves assessing the similarity between probability distributions.

Loïc Simon, Julien Rabin, Ryan Webster

CoRR, 2020

Generating Private Data Surrogates for Vision Related Tasks.

Ryan Webster, Julien Rabin, Loïc Simon, Frédéric Jurie

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Revisiting Precision and Recall Definition for Generative Model Evaluation.

Loïc Simon, Ryan Webster, Julien Rabin

CoRR, 2019

Revisiting precision recall definition for generative modeling.

Loïc Simon, Ryan Webster, Julien Rabin

Proceedings of the 36th International Conference on Machine Learning, 2019

Detecting Overfitting of Deep Generative Networks via Latent Recovery.

Ryan Webster, Julien Rabin, Loïc Simon, Frédéric Jurie

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

2018

Innovative Non-parametric Texture Synthesis via Patch Permutations.

Ryan Webster

CoRR, 2018