Importance Weighted Autoencoders

1 September 2015

Papers citing "Importance Weighted Autoencoders"

50 / 794 papers shown

Title
Energy-Inspired Models: Learning with Sampler-Induced Distributions Dieterich Lawson George Tucker Bo Dai Rajesh Ranganath 19 31 0 31 Oct 2019
A Prior of a Googol Gaussians: a Tensor Ring Induced Prior for Generative Models Maksim Kuznetsov Daniil Polykovskiy Dmitry Vetrov Alexander Zhebrak GAN 24 18 0 29 Oct 2019
Generative Neural Network based Spectrum Sharing using Linear Sum Assignment Problems A. B. Zaki J. Huang Kaishun Wu B. Elhalawany 22 15 0 12 Oct 2019
R-SQAIR: Relational Sequential Attend, Infer, Repeat Aleksandar Stanić Jürgen Schmidhuber 18 30 0 11 Oct 2019
Customizing Sequence Generation with Multi-Task Dynamical Systems Alex Bird Christopher K. I. Williams AI4CE 28 11 0 11 Oct 2019
Increasing Expressivity of a Hyperspherical VAE Tim R. Davidson Jakub M. Tomczak E. Gavves 13 6 0 07 Oct 2019
SCALOR: Generative World Models with Scalable Object Representations Jindong Jiang Sepehr Janghorbani Gerard de Melo Sungjin Ahn OCL DRL 46 132 0 06 Oct 2019
Neural Multisensory Scene Inference Jae Hyun Lim Pedro H. O. Pinheiro Negar Rostamzadeh C. Pal Sungjin Ahn 22 10 0 06 Oct 2019
Latent-Variable Generative Models for Data-Efficient Text Classification Xiaoan Ding Kevin Gimpel 17 6 0 01 Oct 2019
Tightening Bounds for Variational Inference by Revisiting Perturbation Theory Robert Bamler Cheng Zhang Manfred Opper Stephan Mandt 24 3 0 30 Sep 2019
On the Importance of the Kullback-Leibler Divergence Term in Variational Autoencoders for Text Generation Victor Prokhorov Ehsan Shareghi Yingzhen Li Mohammad Taher Pilehvar Nigel Collier DRL 25 29 0 30 Sep 2019
Particle Smoothing Variational Objectives A. Moretti Zizhao Wang Luhuan Wu Iddo Drori I. Pe’er 32 10 0 20 Sep 2019
Select and Attend: Towards Controllable Content Selection in Text Generation Xiaoyu Shen Jun Suzuki Kentaro Inui Hui Su Dietrich Klakow Satoshi Sekine 32 28 0 10 Sep 2019
Learning Priors for Adversarial Autoencoders Hui-Po Wang Wen-Hsiao Peng Wei-Jan Ko GAN 22 17 0 10 Sep 2019
Balancing Reconstruction Quality and Regularisation in ELBO for VAEs Shuyu Lin Stephen J. Roberts Niki Trigoni R. Clark DRL 21 15 0 09 Sep 2019
FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow Xuezhe Ma Chunting Zhou Xian Li Graham Neubig Eduard H. Hovy AI4TS BDL 11 189 0 05 Sep 2019
Independent Subspace Analysis for Unsupervised Learning of Disentangled Representations Jan Stühmer Richard Turner Sebastian Nowozin DRL BDL CoGe 117 25 0 05 Sep 2019
Improving Disentangled Representation Learning with the Beta Bernoulli Process P. Gyawali Zhiyuan Li Cameron Knight S. Ghimire B. Horácek J. Sapp Linwei Wang CML CoGe DRL 30 12 0 03 Sep 2019
A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text Bohan Li Junxian He Graham Neubig Taylor Berg-Kirkpatrick Yiming Yang DRL 11 70 0 02 Sep 2019
Theory and Evaluation Metrics for Learning Disentangled Representations Kien Do T. Tran CoGe DRL 21 93 0 26 Aug 2019
PixelVAE++: Improved PixelVAE with Discrete Prior Hossein Sadeghi Evgeny Andriyash W. Vinci L. Buffoni Mohammad H. Amin BDL DRL 21 33 0 26 Aug 2019
Improve variational autoEncoder with auxiliary softmax multiclassifier Yao Li DRL 31 0 0 17 Aug 2019
On importance-weighted autoencoders Axel Finke Alexandre Hoang Thiery 6 2 0 24 Jul 2019
Noise Contrastive Variational Autoencoders O. Ganea Yashas Annadani Gary Bécigneul DRL 9 0 0 23 Jul 2019
Towards Verified Stochastic Variational Inference for Probabilistic Programs Wonyeol Lee Hangyeol Yu Xavier Rival Hongseok Yang 24 23 0 20 Jul 2019
The continuous Bernoulli: fixing a pervasive error in variational autoencoders Gabriel Loaiza-Ganem John P. Cunningham DRL 29 83 0 16 Jul 2019
Vector Quantized Bayesian Neural Network Inference for Data Streams Namuk Park Taekyu Lee Songkuk Kim MQ 22 9 0 12 Jul 2019
Variational Autoencoders and Nonlinear ICA: A Unifying Framework Ilyes Khemakhem Diederik P. Kingma Ricardo Pio Monti Aapo Hyvarinen OOD 13 574 0 10 Jul 2019
Mixed-Variable Bayesian Optimization Erik A. Daxberger Anastasia Makarova M. Turchetta Andreas Krause 24 51 0 02 Jul 2019
Augmenting and Tuning Knowledge Graph Embeddings Robert Bamler Farnood Salehi Stephan Mandt 19 7 0 01 Jul 2019
The Thermodynamic Variational Objective Vaden Masrani T. Le Frank Wood 22 48 0 28 Jun 2019
Teaching deep neural networks to localize single molecules for super-resolution microscopy Artur Speiser Lucas-Raphael Müller Ulf Matti Christopher J. Obara Wesley R. Legant Jonas Ries Jakob H. Macke Srinivas C. Turaga 18 17 0 27 Jun 2019
Divide and Couple: Using Monte Carlo Variational Objectives for Posterior Approximation Justin Domke Daniel Sheldon 26 18 0 24 Jun 2019
Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting Aditya Grover Jiaming Song Alekh Agarwal Kenneth Tran Ashish Kapoor Eric Horvitz Stefano Ermon 26 123 0 23 Jun 2019
Neural Topographic Factor Analysis for fMRI Data Eli Sennesh Zulqarnain Khan Yiyu Wang Jennifer Dy Ajay B. Satpute J. B. Hutchinson Jan-Willem van de Meent 26 4 0 21 Jun 2019
Data Interpolating Prediction: Alternative Interpretation of Mixup Takuya Shimada Shoichiro Yamaguchi K. Hayashi Sosuke Kobayashi 42 7 0 20 Jun 2019
Amortized Bethe Free Energy Minimization for Learning MRFs Sam Wiseman Yoon Kim TPM DRL 21 11 0 14 Jun 2019
Reweighted Expectation Maximization Adji Bousso Dieng John Paisley VLM DRL 16 17 0 13 Jun 2019
Learning Deep Generative Models with Annealed Importance Sampling Xinqiang Ding David J. Freedman VLM BDL GAN 28 10 0 12 Jun 2019
Explicit Disentanglement of Appearance and Perspective in Generative Models N. Detlefsen Søren Hauberg CoGe DRL 30 47 0 11 Jun 2019
Neural Spline Flows Conor Durkan Artur Bekasov Iain Murray George Papamakarios DRL 41 748 0 10 Jun 2019
Note on the bias and variance of variational inference Chin-Wei Huang Aaron Courville 6 4 0 09 Jun 2019
Importance Weighted Adversarial Variational Autoencoders for Spike Inference from Calcium Imaging Data Daniel Jiwoong Im Sridhama Prakhya Jinyao Yan Srinivas C. Turaga K. Branson BDL 18 2 0 07 Jun 2019
An Introduction to Variational Autoencoders Diederik P. Kingma Max Welling BDL SSL DRL 33 2,295 0 06 Jun 2019
Improving VAEs' Robustness to Adversarial Attack M. Willetts A. Camuto Tom Rainforth Stephen J. Roberts Chris Holmes DRL AAML 24 5 0 01 Jun 2019
On the Necessity and Effectiveness of Learning the Prior of Variational Auto-Encoder Haowen Xu Wenxiao Chen Jinlin Lai Zhihan Li Youjian Zhao Dan Pei DRL BDL 38 14 0 31 May 2019
Particle Filter Recurrent Neural Networks Xiao Ma Peter Karkus David Hsu Wee Sun Lee 16 82 0 30 May 2019
Efficient Amortised Bayesian Inference for Hierarchical and Nonlinear Dynamical Systems Geoffrey Roeder Paul K. Grant Andrew Phillips Neil Dalchau Edward Meeds 19 23 0 28 May 2019
Practical and Consistent Estimation of f-Divergences Paul Kishan Rubenstein Olivier Bousquet Josip Djolonga C. Riquelme Ilya O. Tolstikhin 12 44 0 27 May 2019
MaxEntropy Pursuit Variational Inference Evgenii Egorov Kirill Neklyudov R. Kostoev Evgeny Burnaev BDL 16 3 0 20 May 2019