9 citations · 10 across the 5 of their papers we have counts for
3 papers · 1 filter
yProv4ML: Effortless Provenance Tracking for Machine Learning Systems
Gabriele Padovani, Valentine Anantharaj, Sandro Fiore
The rapid growth of interest in large language models (LLMs) reflects their potential for flexibility and generalization, and attracted the attention of a diverse range of research…
Provenance Tracking in Large-Scale Machine Learning Systems
Gabriele Padovani, Valentine Anantharaj, Sandro Fiore
As the demand for large scale AI models continues to grow, the optimization of their training to balance computational efficiency, execution time, accuracy and energy consumption r…
Prithvi WxC: Foundation Model for Weather and Climate
Johannes Schmude, Sujit Roy, Will Trojak +26
Triggered by the realization that AI emulators can rival the performance of traditional numerical weather prediction models running on HPC systems, there is now an increasing numbe…