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…
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…
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…