Ryan Webster

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 12

Top Topics

Precision And Recall

Texture Synthesis

Probability Distribution

Top Venues

J. Mach. Learn. Res.

Publications

Rodrigue Siry, Ryan Webster, Loïc Simon, Julien Rabin
On the Theoretical Equivalence of Several Trade-Off Curves Assessing Statistical Proximity. J. Mach. Learn. Res. 24 (2023)
Ryan Webster
A Reproducible Extraction of Training Images from Diffusion Models. CoRR (2023)
Ryan Webster, Julien Rabin, Loïc Simon, Frédéric Jurie
On the De-duplication of LAION-2B. CoRR (2023)
Ryan Webster, Julien Rabin, Loïc Simon, Frédéric Jurie
Width-Wise Parameter Sharing for Multi-Domain Gan Learning. ICIP (2022)
Ryan Webster, Julien Rabin, Loïc Simon, Frédéric Jurie
This Person (Probably) Exists. Identity Membership Attacks Against GAN Generated Faces. CoRR (2021)
Loïc Simon, Julien Rabin, Ryan Webster
Equivalence of several curves assessing the similarity between probability distributions. CoRR (2020)
Ryan Webster, Julien Rabin, Loïc Simon, Frédéric Jurie
Generating Private Data Surrogates for Vision Related Tasks. ICPR (2020)
Loïc Simon, Ryan Webster, Julien Rabin
Revisiting Precision and Recall Definition for Generative Model Evaluation. CoRR (2019)
Ryan Webster, Julien Rabin, Loïc Simon, Frédéric Jurie
Detecting Overfitting of Deep Generative Networks via Latent Recovery. CoRR (2019)
Ryan Webster, Julien Rabin, Loïc Simon, Frédéric Jurie
Detecting Overfitting of Deep Generative Networks via Latent Recovery. CVPR (2019)
Loïc Simon, Ryan Webster, Julien Rabin
Revisiting precision recall definition for generative modeling. ICML (2019)
Ryan Webster
Innovative Non-parametric Texture Synthesis via Patch Permutations. CoRR (2018)