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cs.LG2026
MetaColloc: Optimization-Free PDE Solving via Meta-Learned Basis Functions
Zichuan Yang
Solving partial differential equations (PDEs) with machine learning typically requires training a new neural network for every new equation. This optimization is slow. We introduce…
cs.LG2026
Active Hypothesis Testing for Correlated Combinatorial Anomaly Detection
Zichuan Yang, Yiming Xing
We study the problem of identifying an anomalous subset of streams under correlated noise, motivated by monitoring and security in cyber-physical systems. This problem can be viewe…
cs.LG2025
The Lifecycle Principle: Stabilizing Dynamic Neural Networks with State Memory
Zichuan Yang
I investigate a stronger form of regularization by deactivating neurons for extended periods, a departure from the temporary changes of methods like Dropout. However, this long-ter…