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Ladder Variational Autoencoders

6 February 2016

Papers citing "Ladder Variational Autoencoders"

50 / 335 papers shown

Title
Iterative Amortized Inference Joseph Marino Yisong Yue Stephan Mandt BDL DRL 81 168 0 24 Jul 2018
Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer David Berthelot Colin Raffel Aurko Roy Ian Goodfellow 86 265 0 19 Jul 2018
Item Recommendation with Variational Autoencoders and Heterogenous Priors Giannis Karamanolakis Kevin Raji Cherian A. Narayan Jie Yuan Da Tang Tony Jebara DRL 57 45 0 17 Jul 2018
IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis Huaibo Huang Zhihang Li Ran He Zhenan Sun Tieniu Tan DRL 53 267 0 17 Jul 2018
Avoiding Latent Variable Collapse With Generative Skip Models Adji Bousso Dieng Yoon Kim Alexander M. Rush David M. Blei DRL 67 175 0 12 Jul 2018
A Variational Time Series Feature Extractor for Action Prediction Maxime Chaveroche Adrien Malaisé F. Colas François Charpillet S. Ivaldi AI4TS 42 8 0 06 Jul 2018
Learning in Variational Autoencoders with Kullback-Leibler and Renyi Integral Bounds Septimia Sârbu Riccardo Volpi Alexandra Peste Luigi Malagò DRL 29 0 0 05 Jul 2018
Anomaly Detection for Skin Disease Images Using Variational Autoencoder Yuchen Lu Peng Xu DRL 70 73 0 03 Jul 2018
Hierarchical VampPrior Variational Fair Auto-Encoder P. Botros Jakub M. Tomczak DRL 69 7 0 26 Jun 2018
Tensor Monte Carlo: particle methods for the GPU era Laurence Aitchison BDL DRL 85 13 0 22 Jun 2018
Nonparametric Topic Modeling with Neural Inference Xuefei Ning Yin Zheng Zhuxi Jiang Yu Wang Huazhong Yang Junzhou Huang BDL 68 19 0 18 Jun 2018
Variational Autoencoder with Arbitrary Conditioning Oleg Ivanov Michael Figurnov Dmitry Vetrov BDL DRL 88 147 0 06 Jun 2018
Semi-Implicit Variational Inference Mingzhang Yin Mingyuan Zhou BDL 89 128 0 28 May 2018
Amortized Inference Regularization Rui Shu Hung Bui Shengjia Zhao Mykel J. Kochenderfer Stefano Ermon DRL 57 82 0 23 May 2018
Universal discriminative quantum neural networks Hongxiang Chen Leonard Wossnig Simone Severini Hartmut Neven Masoud Mohseni 69 81 0 22 May 2018
Learning Deep Sketch Abstraction U. Muhammad Yongxin Yang Yi-Zhe Song Tao Xiang Timothy M. Hospedales 47 96 0 13 Apr 2018
A high-bias, low-variance introduction to Machine Learning for physicists Pankaj Mehta Marin Bukov Ching-Hao Wang A. G. Day C. Richardson Charles K. Fisher D. Schwab AI4CE 133 884 0 23 Mar 2018
Probabilistic Video Generation using Holistic Attribute Control Jiawei He Andreas M. Lehrmann Joseph Marino Greg Mori Leonid Sigal VGen DiffM DRL 73 77 0 21 Mar 2018
Sylvester Normalizing Flows for Variational Inference Rianne van den Berg Leonard Hasenclever Jakub M. Tomczak Max Welling BDL DRL 124 253 0 15 Mar 2018
WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling Hao Zhang Bo Chen D. Guo Mingyuan Zhou BDL 80 118 0 04 Mar 2018
Unsupervised Learning of Goal Spaces for Intrinsically Motivated Goal Exploration Alexandre Péré Sébastien Forestier Olivier Sigaud Pierre-Yves Oudeyer SSL DRL 86 95 0 02 Mar 2018
Compressing Neural Networks using the Variational Information Bottleneck Bin Dai Chen Zhu David Wipf MLT 61 182 0 28 Feb 2018
Auto-Encoding Total Correlation Explanation Shuyang Gao Rob Brekelmans Greg Ver Steeg Aram Galstyan BDL DRL 86 78 0 16 Feb 2018
DVAE++: Discrete Variational Autoencoders with Overlapping Transformations Arash Vahdat W. Macready Zhengbing Bian Amir Khoshaman Evgeny Andriyash 99 76 0 14 Feb 2018
Semi-Amortized Variational Autoencoders Yoon Kim Sam Wiseman Andrew C. Miller David Sontag Alexander M. Rush BDL DRL 172 243 0 07 Feb 2018
Improving Bi-directional Generation between Different Modalities with Variational Autoencoders Masahiro Suzuki Kotaro Nakayama Y. Matsuo DRL 52 8 0 26 Jan 2018
Inference Suboptimality in Variational Autoencoders Chris Cremer Xuechen Li David Duvenaud DRL BDL 137 283 0 10 Jan 2018
Variational Autoencoders for Learning Latent Representations of Speech Emotion: A Preliminary Study S. Latif R. Rana Junaid Qadir J. Epps SSL DRL 98 101 0 23 Dec 2017
Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models Jesse Engel Matthew Hoffman Adam Roberts DRL 97 140 0 15 Nov 2017
Advances in Variational Inference Cheng Zhang Judith Butepage Hedvig Kjellström Stephan Mandt BDL 236 698 0 15 Nov 2017
Variational Walkback: Learning a Transition Operator as a Stochastic Recurrent Net Anirudh Goyal Nan Rosemary Ke Surya Ganguli Yoshua Bengio DiffM 151 55 0 07 Nov 2017
Fast amortized inference of neural activity from calcium imaging data with variational autoencoders Artur Speiser Jinyao Yan Evan Archer Lars Buesing Srinivas C. Turaga Jakob H. Macke BDL 59 47 0 06 Nov 2017
Fixing a Broken ELBO Alexander A. Alemi Ben Poole Ian S. Fischer Joshua V. Dillon Rif A. Saurous Kevin Patrick Murphy DRL BDL 112 80 0 01 Nov 2017
Reconstruction of Hidden Representation for Robust Feature Extraction Zeng Yu Tianrui Li Ning Yu Yi Pan Hongmei Chen Bing-Quan Liu 49 27 0 08 Oct 2017
Learning hard quantum distributions with variational autoencoders Andrea Rocchetto Edward Grant Sergii Strelchuk Giuseppe Carleo Simone Severini BDL DRL 110 78 0 02 Oct 2017
Semi-supervised Learning with Deep Generative Models for Asset Failure Prediction A. Yoon Taehoon Lee Yongsub Lim Deokwoo Jung Philgyun Kang Dongwon Kim Keuntae Park Yongjin Choi MedIm 48 60 0 04 Sep 2017
A Generative Model For Zero Shot Learning Using Conditional Variational Autoencoders Ashish Mishra M. K. Reddy Anurag Mittal H. Murthy GAN VLM DRL 95 302 0 03 Sep 2017
A learning framework for winner-take-all networks with stochastic synapses Hesham Mostafa Gert Cauwenberghs BDL 56 14 0 14 Aug 2017
Guiding InfoGAN with Semi-Supervision Adrian Spurr Emre Aksan Otmar Hilliges GAN 76 47 0 14 Jul 2017
A causal framework for explaining the predictions of black-box sequence-to-sequence models David Alvarez-Melis Tommi Jaakkola CML 368 206 0 06 Jul 2017
Channel-Recurrent Autoencoding for Image Modeling Wenling Shang Kihyuk Sohn Yuandong Tian DRL GAN 27 3 0 12 Jun 2017
Tackling Over-pruning in Variational Autoencoders Serena Yeung A. Kannan Yann N. Dauphin Li Fei-Fei DRL 181 63 0 09 Jun 2017
Improving Variational Auto-Encoders using convex combination linear Inverse Autoregressive Flow Jakub M. Tomczak Max Welling DRL 85 24 0 07 Jun 2017
InfoVAE: Information Maximizing Variational Autoencoders Shengjia Zhao Jiaming Song Stefano Ermon DRL 111 447 0 07 Jun 2017
Learning Disentangled Representations with Semi-Supervised Deep Generative Models Siddharth Narayanaswamy Brooks Paige Jan-Willem van de Meent Alban Desmaison Noah D. Goodman Pushmeet Kohli Frank Wood Philip Torr DRL CoGe 193 363 0 01 Jun 2017
Model Selection in Bayesian Neural Networks via Horseshoe Priors S. Ghosh Finale Doshi-Velez BDL 86 120 0 29 May 2017
Bayesian Compression for Deep Learning Christos Louizos Karen Ullrich Max Welling UQCV BDL 207 481 0 24 May 2017
VAE with a VampPrior Jakub M. Tomczak Max Welling GAN BDL 139 638 0 19 May 2017
Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning Thomas M. Moerland Joost Broekens Catholijn M. Jonker OffRL 96 31 0 01 May 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 64 9 0 17 Apr 2017