4 papers
Generating Synthetic Behavioral Populations from XR Motion
Xiaozheng Wang, Ryan P. McMahan
Large-scale behavioral datasets are becoming increasingly important for machine learning, personalization, and behavioral modeling in extended reality (XR). However, collecting XR…
Approximating matrix functions by block Krylov methods with randomized vectors
Josh Kane, Lucas Onisk, Lothar Reichel +1
The need to evaluate expressions of the form , where is a square matrix, is a function, and is a vector, arises in several areas of applied mat…
Motion-Based User Identification across XR and Metaverse Applications by Deep Classification and Similarity Learning
Lukas Schach, Christian Rack, Ryan P. McMahan +1
This paper examines the generalization capacity of two state-of-the-art classification and similarity learning models in reliably identifying users based on their motions in variou…
QISCIT: A validated concept inventory assessment for quantum information science
Kelley Durkin, Manshuo Lin, Michael H. Kolodrubetz +1
Quantum information science (QIS) is a critical interdisciplinary field that requires a well-educated workforce in the near future. Numerous researchers and educators have been act…