Importance Weighted Autoencoders

1 September 2015

Papers citing "Importance Weighted Autoencoders"

50 / 794 papers shown

Title
Deep Gaussian Processes with Importance-Weighted Variational Inference Hugh Salimbeni Vincent Dutordoir J. Hensman M. Deisenroth BDL 31 43 0 14 May 2019
Correlated Variational Auto-Encoders Da Tang Dawen Liang Tony Jebara Nicholas Ruozzi CML GNN 24 21 0 14 May 2019
Learning Hierarchical Priors in VAEs Alexej Klushyn Nutan Chen Richard Kurle Botond Cseke Patrick van der Smagt BDL CML DRL 9 100 0 13 May 2019
Hierarchical Importance Weighted Autoencoders Chin-Wei Huang Kris Sankaran Eeshan Gunesh Dhekane Alexandre Lacoste Aaron Courville BDL 19 15 0 13 May 2019
Boosting Generative Models by Leveraging Cascaded Meta-Models Fan Bao Hang Su Jun Zhu 13 1 0 11 May 2019
Importance Weighted Hierarchical Variational Inference Artem Sobolev Dmitry Vetrov BDL 18 26 0 08 May 2019
Conditionally structured variational Gaussian approximation with importance weights Linda S. L. Tan Aishwarya Bhaskaran David J. Nott 24 13 0 21 Apr 2019
Effective Estimation of Deep Generative Language Models Tom Pelsmaeker Wilker Aziz BDL 26 27 0 17 Apr 2019
Exact Rate-Distortion in Autoencoders via Echo Noise Rob Brekelmans Daniel Moyer Aram Galstyan Greg Ver Steeg 24 17 0 15 Apr 2019
Information Theoretic Lower Bounds on Negative Log Likelihood Luis A. Lastras 17 6 0 12 Apr 2019
Supervised Anomaly Detection based on Deep Autoregressive Density Estimators Tomoharu Iwata Yuki Yamanaka 39 11 0 12 Apr 2019
Autoregressive Energy Machines C. Nash Conor Durkan 31 55 0 11 Apr 2019
Generalized Variational Inference: Three arguments for deriving new Posteriors Jeremias Knoblauch Jack Jewson Theodoros Damoulas DRL BDL 39 105 0 03 Apr 2019
From Variational to Deterministic Autoencoders Partha Ghosh Mehdi S. M. Sajjadi Antonio Vergari Michael J. Black Bernhard Schölkopf DRL 37 269 0 29 Mar 2019
Information Maximizing Visual Question Generation Ranjay Krishna Michael S. Bernstein Li Fei-Fei 23 95 0 27 Mar 2019
Approximate Query Processing using Deep Generative Models Saravanan Thirumuruganathan Shohedul Hasan Nick Koudas Gautam Das 43 50 0 24 Mar 2019
Generative Adversarial Networks: recent developments M. Zamorski Adrian Zdobylak Maciej Ziȩba J. Swiatek GAN 20 15 0 16 Mar 2019
Diagnosing and Enhancing VAE Models Bin Dai David Wipf DRL 20 377 0 14 Mar 2019
Variational Bayesian Optimal Experimental Design Adam Foster M. Jankowiak Eli Bingham Paul Horsfall Yee Whye Teh Tom Rainforth Noah D. Goodman 44 133 0 13 Mar 2019
Imitation Learning of Factored Multi-agent Reactive Models Michael Teng T. Le Adam Scibior Frank Wood DRL 24 1 0 12 Mar 2019
Training Variational Autoencoders with Buffered Stochastic Variational Inference Rui Shu Hung Bui Jay Whang Stefano Ermon BDL 14 3 0 27 Feb 2019
STCN: Stochastic Temporal Convolutional Networks Emre Aksan Otmar Hilliges BDL 19 61 0 18 Feb 2019
Gaussian Mean Field Regularizes by Limiting Learned Information Julius Kunze Louis Kirsch H. Ritter David Barber FedML MLT 16 2 0 12 Feb 2019
A Wrapped Normal Distribution on Hyperbolic Space for Gradient-Based Learning Yoshihiro Nagano Shoichiro Yamaguchi Yasuhiro Fujita Masanori Koyama BDL DRL 11 15 0 08 Feb 2019
Latent Space Cartography: Generalised Metric-Inspired Measures and Measure-Based Transformations for Generative Models M. Frenzel Bogdan Teleaga Asahi Ushio 8 7 0 06 Feb 2019
BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling Lars Maaløe Marco Fraccaro Valentin Liévin Ole Winther BDL DRL 24 213 0 06 Feb 2019
Meta-Amortized Variational Inference and Learning Mike Wu Kristy Choi Noah D. Goodman Stefano Ermon OOD VLM BDL DRL 38 35 0 05 Feb 2019
Multilevel Monte Carlo Variational Inference Masahiro Fujisawa Issei Sato 27 10 0 01 Feb 2019
Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design Jonathan Ho Xi Chen A. Srinivas Yan Duan Pieter Abbeel DRL 20 444 0 01 Feb 2019
Semi-Unsupervised Learning: Clustering and Classifying using Ultra-Sparse Labels M. Willetts Stephen J. Roberts Christopher C Holmes 14 4 0 24 Jan 2019
Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders Emile Mathieu Charline Le Lan Chris J. Maddison Ryota Tomioka Yee Whye Teh BDL DRL 34 172 0 17 Jan 2019
Lagging Inference Networks and Posterior Collapse in Variational Autoencoders Junxian He Daniel M. Spokoyny Graham Neubig Taylor Berg-Kirkpatrick BDL DRL 25 272 0 16 Jan 2019
Conditional deep surrogate models for stochastic, high-dimensional, and multi-fidelity systems Yibo Yang P. Perdikaris SyDa BDL AI4CE 29 55 0 15 Jan 2019
Undirected Graphical Models as Approximate Posteriors Arash Vahdat Evgeny Andriyash W. Macready 22 2 0 11 Jan 2019
Dirichlet Variational Autoencoder Weonyoung Joo Wonsung Lee Sungrae Park Il-Chul Moon BDL DRL 35 101 0 09 Jan 2019
MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders Xuezhe Ma Chunting Zhou Eduard H. Hovy DRL 28 39 0 06 Jan 2019
Learning Nonlinear State Space Models with Hamiltonian Sequential Monte Carlo Sampler Duo Xu 29 2 0 03 Jan 2019
Fast Approximate Geodesics for Deep Generative Models Nutan Chen Francesco Ferroni Alexej Klushyn A. Paraschos Justin Bayer Patrick van der Smagt DRL 30 30 0 19 Dec 2018
A Factorial Mixture Prior for Compositional Deep Generative Models Ulrich Paquet Sumedh Ghaisas O. Tieleman CoGe 20 1 0 18 Dec 2018
A Novel Variational Autoencoder with Applications to Generative Modelling, Classification, and Ordinal Regression J. Jaskari Jyri J. Kivinen BDL DRL 11 6 0 18 Dec 2018
Sparsity in Variational Autoencoders Andrea Asperti BDL DRL 11 10 0 18 Dec 2018
A Tutorial on Deep Latent Variable Models of Natural Language Yoon Kim Sam Wiseman Alexander M. Rush BDL VLM 30 42 0 17 Dec 2018
What is the Effect of Importance Weighting in Deep Learning? Jonathon Byrd Zachary Chase Lipton 17 456 0 08 Dec 2018
Back to square one: probabilistic trajectory forecasting without bells and whistles Ehsan Pajouheshgar Christoph H. Lampert 25 7 0 07 Dec 2018
Embedding-reparameterization procedure for manifold-valued latent variables in generative models Eugene Golikov M. Kretov DRL 16 0 0 06 Dec 2018
$β$ -VAEs can retain label information even at high compression Emily Fertig Aryan Arbabi Alexander A. Alemi 10 6 0 06 Dec 2018
MIWAE: Deep Generative Modelling and Imputation of Incomplete Data Pierre-Alexandre Mattei J. Frellsen SyDa 25 45 0 06 Dec 2018
Neural Joint Source-Channel Coding Kristy Choi Kedar Tatwawadi Aditya Grover Tsachy Weissman Stefano Ermon 13 38 0 19 Nov 2018
Deep Knockoffs Yaniv Romano Matteo Sesia Emmanuel J. Candès BDL 18 139 0 16 Nov 2018
Multi-Source Neural Variational Inference Richard Kurle Stephan Günnemann Patrick van der Smagt BDL SSL DRL 17 25 0 11 Nov 2018