1 citations · 1 across the 2 of their papers we have counts for
3 papers
stat.ML2023
Statistical Guarantees of Group-Invariant GANs
Ziyu Chen, Markos A. Katsoulakis, Luc Rey-Bellet +1
This work presents the first statistical performance guarantees for group-invariant generative models. Many real data, such as images and molecules, are invariant to certain group…
cs.CV2023★ 1 cited
SegPrompt: Using Segmentation Map as a Better Prompt to Finetune Deep Models for Kidney Stone Classification
Wei Zhu, Runtao Zhou, Yao Yuan +3
Recently, deep learning has produced encouraging results for kidney stone classification using endoscope images. However, the shortage of annotated training data poses a severe pro…
cs.LG2023
On the Implicit Bias of Linear Equivariant Steerable Networks
Ziyu Chen, Wei Zhu
We study the implicit bias of gradient flow on linear equivariant steerable networks in group-invariant binary classification. Our findings reveal that the parameterized predictor…