3 papers
cs.AI2026
A Computationally Efficient Learning of Artificial Intelligence System Reliability Considering Error Propagation
Fenglian Pan, Yinwei Zhang, Yili Hong +2
Artificial Intelligence (AI) systems are increasingly prominent in emerging smart cities, yet their reliability remains a critical concern. These systems typically operate through…
stat.AP2025
Bridging the Data Gap in AI Reliability Research and Establishing DR-AIR, a Comprehensive Data Repository for AI Reliability
Simin Zheng, Jared M. Clark, Fatemeh Salboukh +10
Artificial intelligence (AI) technology and systems have been advancing rapidly. However, ensuring the reliability of these systems is crucial for fostering public confidence in th…
cs.LG2025
BiDepth: A Bidirectional-Depth Neural Network for Spatio-Temporal Prediction
Sina Ehsani, Fenglian Pan, Qingpei Hu +1
Accurate spatial-temporal (ST) prediction for dynamic systems, such as urban mobility and weather patterns, is crucial but hindered by complex ST correlations and the challenge of…