activity
20232026
most citedDeep Anomaly Detection on Tennessee Eastman Process Data

1 citations · 1 across the 4 of their papers we have counts for

collaborators
Showing stat.MLShow all

1 paper · 1 filter

stat.ML2026

Minimax-Optimal Generalization Bounds for Smooth Deep Neural Networks Trained by (Stochastic) Gradient Descent

Junyu Zhou, Puyu Wang, Dennis Wagner +3

Characterizing the optimization dynamics and statistical performance of over-parameterized deep neural networks (DNNs) remains a central challenge in understanding the remarkable s…