2 papers
cs.LG2026
Adversarial Label Invariant Graph Data Augmentations for Out-of-Distribution Generalization
Simon Zhang, Ryan P. DeMilt, Kun Jin +1
Out-of-distribution (OoD) generalization occurs when representation learning encounters a distribution shift. This occurs frequently in practice when training and testing data come…
cs.CV2025
The View From Space: Navigating Instrumentation Differences with EOFMs
Ryan P. Demilt, Nicholas LaHaye, Karis Tenneson
Earth Observation Foundation Models (EOFMs) have exploded in prevalence as tools for processing the massive volumes of remotely sensed and other earth observation data, and for del…