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cs.LG2026
Masked Diffusion Modeling for Anomaly Detection
Lixing Zhang, Yuchen Liang, Liyan Xie
Anomaly detection aims to identify samples that deviate from the nominal data distribution and is central to many safety-critical applications. However, developing effective anomal…
cs.LG2026
Learning to Test: Latent Representation Learning for Dynamic Instability Detection
Minxing Zheng, Zewei Deng, Liyan Xie +1
Stability assessment is central to safety-critical systems governed by differential-algebraic equations (DAEs), whose dynamics are constrained by physical laws and admissibility co…