3 papers
cs.LG2026
Fourier Weak SINDy: Spectral Test Function Selection for Robust Model Identification
Zhiheng Chen, Urban Fasel, Anastasia Bizyaeva
We introduce Fourier Weak SINDy, a minimal noise-robust and interpretable derivative-free equation learning method that combines weak-form sparse equation learning with spectral de…
cs.LG2026
Transformers as Unsupervised Learning Algorithms: A study on Gaussian Mixtures
Zhiheng Chen, Ruofan Wu, Guanhua Fang
The transformer architecture has demonstrated remarkable capabilities in modern artificial intelligence, among which the capability of implicitly learning an internal model during…
stat.ML2024
On Non-asymptotic Theory of Recurrent Neural Networks in Temporal Point Processes
Zhiheng Chen, Guanhua Fang, Wen Yu
Temporal point process (TPP) is an important tool for modeling and predicting irregularly timed events across various domains. Recently, the recurrent neural network (RNN)-based TP…