Posterior Collapse and Latent Variable Non-identifiability

2 January 2023

Papers citing "Posterior Collapse and Latent Variable Non-identifiability"

8 / 8 papers shown

Title
Remove Symmetries to Control Model Expressivity and Improve Optimization Liu Ziyin Yizhou Xu Isaac Chuang AAML 38 1 0 28 Aug 2024
Particle Semi-Implicit Variational Inference Jen Ning Lim A. M. Johansen 43 3 0 30 Jun 2024
Causal Representation Learning Made Identifiable by Grouping of Observational Variables H. Morioka Aapo Hyvarinen OOD CML BDL 30 9 0 24 Oct 2023
Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data Mouad El Bouchattaoui Myriam Tami Benoit Lepetit P. Cournède CML OOD 58 2 0 16 Oct 2023
Discouraging posterior collapse in hierarchical Variational Autoencoders using context Anna Kuzina Jakub M. Tomczak BDL DRL 18 1 0 20 Feb 2023
Identifiability of deep generative models without auxiliary information Bohdan Kivva Goutham Rajendran Pradeep Ravikumar Bryon Aragam DRL 20 48 0 20 Jun 2022
Variational Autoencoder with Disentanglement Priors for Low-Resource Task-Specific Natural Language Generation Zhuang Li Lizhen Qu Qiongkai Xu Tongtong Wu Tianyang Zhan Gholamreza Haffari CoGe UD DRL 34 4 0 27 Feb 2022
Input Convex Neural Networks Brandon Amos Lei Xu J. Zico Kolter 173 597 0 22 Sep 2016