Built with and by Teycir Ben Soltane•
How to Use•FAQ•GitHub•arXiv.org•
Share:
ArXivCSExplorer
☆☆Bookmarks🏆RSSHow to UseFAQ
Home/Authors/Georgina Cosma

Georgina Cosma

1 indexed paper

Recent (6 mo)
1
With code
0
Influential cites
0
Benchmarked
0

Publications per year

1
26

Top categories

Vision×1AI×1

Frequent co-authors

Petros Andreou1×
Jamie Lanyon1×
Axel Finke1×

Research Timeline

2026
SUPREME: A Multi-GPU Framework for Reproducible Image Unlearning Method Evaluation

SUPREME is an open-source, multi-GPU framework designed to efficiently and reproducibly evaluate machine unlearning methods for image classification by distributing computationally intensive tasks across multiple accelerators.

Highlighted terms show continued research focus across papers

Papers

cs.CVcs.AIRecentMay 29, 2026

SUPREME: A Multi-GPU Framework for Reproducible Image Unlearning Method Evaluation

Petros Andreou, Jamie Lanyon, Axel Finke, Georgina Cosma

SUPREME is an open-source, multi-GPU framework designed to efficiently and reproducibly evaluate machine unlearning methods for image classification by distributing computationally intensive tasks acr…

View →