3 papers
cs.RO2026
EgoVerse: An Egocentric Human Dataset for Robot Learning from Around the World
Ryan Punamiya, Simar Kareer, Zeyi Liu +37
Robot learning increasingly depends on large and diverse data, yet robot data collection remains expensive and difficult to scale. Egocentric human data offer a promising alternati…
cs.LG2025
ConstellationNet: Reinventing Spatial Clustering through GNNs
Aidan Gao, Junhong Lin
Spatial clustering is a crucial field, finding universal use across criminology, pathology, and urban planning. However, most spatial clustering algorithms cannot pull information…
cs.LG2024
A Novel Review of Stability Techniques for Improved Privacy-Preserving Machine Learning
Coleman DuPlessie, Aidan Gao
Machine learning models have recently enjoyed a significant increase in size and popularity. However, this growth has created concerns about dataset privacy. To counteract data lea…