3 papers
cs.LG2026
Layerwise Decoupling for Stable Structured Sparsification of Fully Connected Layers
Charles Kulick, Armenak Petrosyan, Sui Tang
We propose a decoupled, layerwise method for structurally sparsifying the fully connected layers of pretrained neural networks. Rather than penalizing all layers jointly, our appro…
math.NA2026
Beyond Invariant Dictionary: Data-Driven Koopman Spectral Recovery with Filtered Extended Dynamic Mode Decomposition
Siji Chen, Igor Mezić, Sui Tang
The Koopman operator provides a linear framework for analyzing nonlinear dynamical systems through spectral properties. Extended Dynamic Mode Decomposition (EDMD) approximates this…
math.FA2017
Undersampled windowed exponentials and their applications
Chun-Kit Lai, Sui Tang
We characterize the completeness and frame/basis property of a union of under-sampled windowed exponentials of the form $$ {\mathcal F}(g): =\{e^{2πi n x}: n\ge 0\}\cup \{g(x)e^{2π…