Learning Latent Superstructures in Variational Autoencoders for Deep Multidimensional Clustering

14 March 2018

Papers citing "Learning Latent Superstructures in Variational Autoencoders for Deep Multidimensional Clustering"

6 / 6 papers shown

Title
Learning Discrete Concepts in Latent Hierarchical Models Lingjing Kong Guan-Hong Chen Erdun Gao Eric P. Xing Yuejie Chi Kun Zhang 52 4 0 01 Jun 2024
DiffuseGAE: Controllable and High-fidelity Image Manipulation from Disentangled Representation Yi Leng Qiangjuan Huang Zhiyuan Wang Yangyang Liu Haoyu Zhang DiffM 43 5 0 12 Jul 2023
Neuro-Causal Factor Analysis Alex Markham Ming Liu Bryon Aragam Liam Solus CML 35 3 0 31 May 2023
Deep Clustering: A Comprehensive Survey Yazhou Ren Jingyu Pu Zhimeng Yang Jie Xu Guofeng Li X. Pu Philip S. Yu Lifang He HAI 50 101 0 09 Oct 2022
Identifiability of deep generative models without auxiliary information Bohdan Kivva Goutham Rajendran Pradeep Ravikumar Bryon Aragam DRL 26 49 0 20 Jun 2022
Multi-VAE: Learning Disentangled View-common and View-peculiar Visual Representations for Multi-view Clustering Jie Xu Yazhou Ren Huayi Tang X. Pu Xiaofeng Zhu Ming Zeng Lifang He DRL 28 106 0 21 Jun 2021