Predicting distributions with Linearizing Belief Networks

17 November 2015

Papers citing "Predicting distributions with Linearizing Belief Networks"

9 / 9 papers shown

Title
SemSegDepth: A Combined Model for Semantic Segmentation and Depth Completion J. Lagos Esa Rahtu VLM 3DV 19 5 0 01 Sep 2022
A Deeper Look at Salient Object Detection: Bi-stream Network with a Small Training Dataset Zhenyu Wu Shuai Li Chenglizhao Chen Aimin Hao Hong Qin ObjD 18 8 0 07 Aug 2020
Left ventricle segmentation By modelling uncertainty in prediction of deep convolutional neural networks and adaptive thresholding inference Alireza Norouzi Ali Emami S. M. Reza Soroushmehr N. Karimi S. Samavi Kayvan Najarian UQCV 22 1 0 23 Feb 2018
Layer-wise Learning of Stochastic Neural Networks with Information Bottleneck Thanh T. Nguyen Jaesik Choi 20 13 0 04 Dec 2017
Improving Variational Auto-Encoders using convex combination linear Inverse Autoregressive Flow Jakub M. Tomczak Max Welling DRL 16 24 0 07 Jun 2017
Multimodal Prediction and Personalization of Photo Edits with Deep Generative Models A. Saeedi Matthew D. Hoffman S. DiVerdi Asma Ghandeharioun Matthew J. Johnson Ryan P. Adams DiffM 21 9 0 17 Apr 2017
Language Modeling with Gated Convolutional Networks Yann N. Dauphin Angela Fan Michael Auli David Grangier 27 2,357 0 23 Dec 2016
Improving Variational Auto-Encoders using Householder Flow Jakub M. Tomczak Max Welling BDL DRL 23 173 0 29 Nov 2016
Variational inference for Monte Carlo objectives A. Mnih Danilo Jimenez Rezende DRL BDL 52 288 0 22 Feb 2016