3 papers
cs.LG2026
Understanding Key Features of Time Series Foundation Models from Epidemic Forecasting
Alireza Jafari, Judy Fox, Geoffrey C. Fox +2
Seasonal influenza infects millions of people and causes substantial morbidity and mortality in the United States each year, making accurate short-term forecasting a core public-he…
cs.CV2025
IGraSS: Learning to Identify Infrastructure Networks from Satellite Imagery by Iterative Graph-constrained Semantic Segmentation
Oishee Bintey Hoque, Abhijin Adiga, Aniruddha Adiga +6
Accurate canal network mapping is essential for water management, including irrigation planning and infrastructure maintenance. State-of-the-art semantic segmentation models for in…
cs.MA2025
On Some Fundamental Problems for Multi-Agent Systems Over Multilayer Networks
Daniel J. Rosenkrantz, Madhav V. Marathe, Zirou Qiu +2
Many researchers have considered multi-agent systems over single-layer networks as models for studying diffusion phenomena. Since real-world networks involve connections between ag…