Generalization Gap in Amortized Inference

Generalization Gap in Amortized Inference

23 May 2022

Papers citing "Generalization Gap in Amortized Inference"

11 / 11 papers shown

Title
Amortized Variational Inference for Deep Gaussian Processes Qiuxian Meng Yongyou Zhang 21 0 0 18 Sep 2024
Improving Variational Autoencoder Estimation from Incomplete Data with Mixture Variational Families Vaidotas Šimkus Michael U. Gutmann 37 2 0 05 Mar 2024
Conditional Sampling of Variational Autoencoders via Iterated Approximate Ancestral Sampling Vaidotas Šimkus Michael U. Gutmann BDL DRL 23 3 0 17 Aug 2023
Moment Matching Denoising Gibbs Sampling Mingtian Zhang Alex Hawkins-Hooker Brooks Paige David Barber DiffM 26 3 0 19 May 2023
Computationally-Efficient Neural Image Compression with Shallow Decoders Yibo Yang Stephan Mandt 11 22 0 13 Apr 2023
Amortized Variational Inference: A Systematic Review Ankush Ganguly Sanjana Jain Ukrit Watchareeruetai 25 14 0 22 Sep 2022
Laplacian Autoencoders for Learning Stochastic Representations M. Miani Frederik Warburg Pablo Moreno-Muñoz Nicke Skafte Detlefsen Søren Hauberg UQCV BDL SSL 30 10 0 30 Jun 2022
Improving VAE-based Representation Learning Mingtian Zhang Tim Z. Xiao Brooks Paige David Barber SSL DRL 10 9 0 28 May 2022
Robust Hybrid Learning With Expert Augmentation Antoine Wehenkel Jens Behrmann Hsiang Hsu Guillermo Sapiro Gilles Louppe and J. Jacobsen 23 8 0 08 Feb 2022
Variational Gibbs Inference for Statistical Model Estimation from Incomplete Data Vaidotas Šimkus Benjamin Rhodes Michael U. Gutmann 15 9 0 25 Nov 2021
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 233 2,547 0 25 Jan 2016