Variational Autoencoders with Decremental Information Bottleneck for Disentanglement. - Jiantao Wu; Shentong Mo; Xingshen Zhang; Muhammad Awais 001; Sara Ahmed; Zhenhua Feng 001; Lin Wang 004; Xiang Yang (BMVC, 2023)

Variantional autoencoder with decremental information bottleneck for disentanglement. - Jiantao Wu; Shentong Mo; Muhammad Awais 001; Sara Atito 001; Xingshen Zhang; Lin Wang 004; Xiang Yang (CoRR, 2023)

Disentanglement in Difference: Directly Learning Semantically Disentangled Representations by Maximizing Inter-Factor Differences. - Xingshen Zhang; Shuangrong Liu; Xintao Lu; Chaoran Pang; Lin Wang; Bo Yang (CoRR, 2025)

Convolution-Based Converter : A Weak-Prior Approach For Modeling Stochastic Processes Based On Conditional Density Estimation. - Chaoran Pang; Shuangrong Liu; Shikun Tian; WenHao Yue; Xingshen Zhang; Lin Wang; Bo Yang (CoRR, 2025)