SeGMA: Semi-Supervised Gaussian Mixture Auto-Encoder

21 June 2019

Papers citing "SeGMA: Semi-Supervised Gaussian Mixture Auto-Encoder"

4 / 4 papers shown

Title
Cramer Type Distances for Learning Gaussian Mixture Models by Gradient Descent Ruichong Zhang 28 0 0 13 Jul 2023
Verifying the Union of Manifolds Hypothesis for Image Data Bradley Brown Anthony L. Caterini Brendan Leigh Ross Jesse C. Cresswell G. Loaiza-Ganem 39 39 0 06 Jul 2022
Schema matching using Gaussian mixture models with Wasserstein distance Mateusz Przyborowski Mateusz Pabi's Andrzej Janusz D. Ślęzak 17 0 0 28 Nov 2021
Multi-local Collaborative AutoEncoder Jielei Chu Hongjun Wang Jing Liu Zhiguo Gong Tianrui Li BDL 29 9 0 12 Jun 2019