2 papers
cs.CV2026
Scaling Remote Sensing Foundation Models: Data Domain Tradeoffs at the Peta-Scale
Charith Wickrema, Eliza Mace, Hunter Brown +7
We explore the scaling behaviors of artificial intelligence to establish practical techniques for training foundation models on high-resolution electro-optical (EO) datasets that e…
cs.LG2025
Complexity Scaling Laws for Neural Models using Combinatorial Optimization
Lowell Weissman, Michael Krumdick, A. Lynn Abbott
Recent work on neural scaling laws demonstrates that model performance scales predictably with compute budget, model size, and dataset size. In this work, we develop scaling laws b…