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cs.LG2026
Dynamic Elliptical Graph Factor Models via Riemannian Optimization with Geodesic Temporal Regularization
Chuansen Peng, Xiaojing Shen
Inferring time-varying graph structures from high-dimensional nodal observations is a fundamental problem arising in neuroscience, finance, climatology, and beyond. Two intrinsic c…
cs.LG2025
Network Topology Inference from Smooth Signals Under Partial Observability
Chuansen Peng, Hanning Tang, Zhiguo Wang +1
Inferring network topology from smooth signals is a significant problem in data science and engineering. A common challenge in real-world scenarios is the availability of only part…