27 citations · 27 across the 3 of their papers we have counts for
3 papers
TOAST: Fast and scalable auto-partitioning based on principled static analysis
Sami Alabed, Dominik Grewe, Norman Alexander Rink +5
Partitioning large machine learning models across distributed accelerator systems is a complex process, requiring a series of interdependent decisions that are further complicated…
AlphaEarth Foundations: An embedding field model for accurate and efficient global mapping from sparse label data
Christopher F. Brown, Michal R. Kazmierski, Valerie J. Pasquarella +16
Unprecedented volumes of Earth observation data are continually collected around the world, but high-quality labels remain scarce given the effort required to make physical measure…
AuPair: Golden Example Pairs for Code Repair
Aditi Mavalankar, Hassan Mansoor, Zita Marinho +2
Scaling up inference-time compute has proven to be a valuable strategy in improving the performance of Large Language Models (LLMs) without fine-tuning. An important task that can…