Correlated Variational Auto-Encoders

14 May 2019

Papers citing "Correlated Variational Auto-Encoders"

9 / 9 papers shown

Title
DGNet: Distribution Guided Efficient Learning for Oil Spill Image Segmentation Fang Chen H. Balzter Feixiang Zhou Pengxin Ren Huiyu Zhou 25 13 0 19 Dec 2022
Fast Variational AutoEncoder with Inverted Multi-Index for Collaborative Filtering Jin Chen Defu Lian Binbin Jin Xunpeng Huang Kai Zheng Enhong Chen BDL 34 27 0 13 Sep 2021
Deep Conditional Gaussian Mixture Model for Constrained Clustering Laura Manduchi Kieran Chin-Cheong H. Michel S. Wellmann Julia E. Vogt AI4CE 19 28 0 11 Jun 2021
Integrating Semantics and Neighborhood Information with Graph-Driven Generative Models for Document Retrieval Zijing Ou Qinliang Su Jianxing Yu Bang Liu Jingwen Wang Ruihui Zhao Changyou Chen Yefeng Zheng 11 3 0 27 May 2021
Unsupervised Learning of Global Factors in Deep Generative Models I. Peis Pablo Martínez Olmos Antonio Artés-Rodríguez BDL DRL 29 8 0 15 Dec 2020
Autoencoding Variational Autoencoder A. Cemgil Sumedh Ghaisas Krishnamurthy Dvijotham Sven Gowal Pushmeet Kohli DRL BDL 29 41 0 07 Dec 2020
On the Equivalence between Positional Node Embeddings and Structural Graph Representations Balasubramaniam Srinivasan Bruno Ribeiro 17 27 0 01 Oct 2019
The Functional Neural Process Christos Louizos Xiahan Shi Klamer Schutte Max Welling BDL 38 77 0 19 Jun 2019
Learning Correlated Latent Representations with Adaptive Priors Da Tang Dawen Liang Nicholas Ruozzi Tony Jebara BDL CML 11 1 0 14 Jun 2019