v1v2v3v4 (latest)

Importance Weighted Autoencoders

International Conference on Learning Representations (ICLR), 2015

1 September 2015

Papers citing "Importance Weighted Autoencoders"

50 / 815 papers shown

Title
Deep generative models of genetic variation capture mutation effects Adam J. Riesselman John Ingraham D. Marks DRL BDL 111 25 0 18 Dec 2017
Faithful Inversion of Generative Models for Effective Amortized Inference Stefan Webb Adam Goliñski R. Zinkov Siddharth Narayanaswamy Tom Rainforth Yee Whye Teh Frank Wood TPM 186 52 0 01 Dec 2017
Auxiliary Guided Autoregressive Variational Autoencoders Thomas Lucas Jakob Verbeek GAN DRL 124 21 0 30 Nov 2017
Generalizing Hamiltonian Monte Carlo with Neural Networks Daniel Levy Matthew D. Hoffman Jascha Narain Sohl-Dickstein BDL 248 131 0 25 Nov 2017
Asymmetric Variational Autoencoders Guoqing Zheng Yiming Yang J. Carbonell BDL 122 2 0 20 Nov 2017
Advances in Variational Inference Cheng Zhang Judith Butepage Hedvig Kjellström Stephan Mandt BDL 528 768 0 15 Nov 2017
Z-Forcing: Training Stochastic Recurrent Networks Anirudh Goyal Alessandro Sordoni Marc-Alexandre Côté Nan Rosemary Ke Yoshua Bengio BDL 190 193 0 15 Nov 2017
Adversarial Symmetric Variational Autoencoder Yunchen Pu Weiyao Wang Ricardo Henao Liqun Chen Zhe Gan Chunyuan Li Lawrence Carin DRL GAN 239 79 0 14 Nov 2017
Neural Variational Inference and Learning in Undirected Graphical Models Volodymyr Kuleshov Stefano Ermon BDL 169 34 0 07 Nov 2017
Convolutional Normalizing Flows Guoqing Zheng Yiming Yang J. Carbonell BDL 136 11 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 124 48 0 06 Nov 2017
Metrics for Deep Generative Models Nutan Chen Alexej Klushyn Richard Kurle Xueyan Jiang Justin Bayer Patrick van der Smagt SyDa DRL 144 121 0 03 Nov 2017
Neural Discrete Representation Learning Aaron van den Oord Oriol Vinyals Koray Kavukcuoglu BDL SSL OCL 615 6,256 0 02 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 342 82 0 01 Nov 2017
Latent Space Oddity: on the Curvature of Deep Generative Models Georgios Arvanitidis Lars Kai Hansen Søren Hauberg DRL 269 296 0 31 Oct 2017
Variational Continual LearningInternational Conference on Learning Representations (ICLR), 2017 Cuong V Nguyen Yingzhen Li T. Bui Richard Turner CLL VLM BDL 405 778 0 29 Oct 2017
On the challenges of learning with inference networks on sparse, high-dimensional data Rahul G. Krishnan Dawen Liang Matthew Hoffman CML BDL 139 87 0 17 Oct 2017
Regularizing Deep Neural Networks by Noise: Its Interpretation and Optimization Hyeonwoo Noh Tackgeun You Jonghwan Mun Bohyung Han NoLa 156 216 0 14 Oct 2017
Unsupervised Real-Time Control through Variational Empowerment Maximilian Karl Maximilian Soelch Philip Becker-Ehmck Djalel Benbouzid Patrick van der Smagt Justin Bayer 116 57 0 13 Oct 2017
Perturbative Black Box Variational Inference Kushagra Pandey Cheng Zhang Manfred Opper Stephan Mandt BDL 174 40 0 21 Sep 2017
Variational Memory Addressing in Generative Models J. Bornschein A. Mnih Daniel Zoran Danilo Jimenez Rezende BDL 136 63 0 21 Sep 2017
On Nesting Monte Carlo Estimators Tom Rainforth R. Cornish Hongseok Yang Andrew Warrington Frank Wood 335 146 0 18 Sep 2017
ZhuSuan: A Library for Bayesian Deep Learning Jiaxin Shi Jianfei Chen Jun Zhu Shengyang Sun Yucen Luo Yihong Gu Yuhao Zhou UQCV BDL 135 43 0 18 Sep 2017
Disentangled Variational Auto-Encoder for Semi-supervised Learning Yang Li Quan Pan Suhang Wang Haiyun Peng Tao Yang Xiaoshi Zhong DRL 121 94 0 15 Sep 2017
Meta-Learning MCMC Proposals Tongzhou Wang Yi Wu David A. Moore Stuart J. Russell BDL 366 2 0 21 Aug 2017
Energy-based Models for Video Anomaly Detection H. Vu Dinh Q. Phung T. Nguyen Anthony Trevors Svetha Venkatesh 137 23 0 17 Aug 2017
Learning to Draw Samples with Amortized Stein Variational Gradient Descent Yihao Feng Dilin Wang Qiang Liu GAN BDL 173 83 0 20 Jul 2017
Guiding InfoGAN with Semi-Supervision Adrian Spurr Emre Aksan Otmar Hilliges GAN 180 47 0 14 Jul 2017
Bayesian Semisupervised Learning with Deep Generative Models Jonathan Gordon José Miguel Hernández-Lobato BDL UQCV GAN 154 27 0 29 Jun 2017
An online sequence-to-sequence model for noisy speech recognition Chung-Cheng Chiu Dieterich Lawson Yuping Luo George Tucker Kevin Swersky Ilya Sutskever Navdeep Jaitly 114 7 0 16 Jun 2017
Channel-Recurrent Autoencoding for Image Modeling Wenling Shang Kihyuk Sohn Yuandong Tian DRL GAN 124 3 0 12 Jun 2017
Tackling Over-pruning in Variational Autoencoders Serena Yeung A. Kannan Yann N. Dauphin Li Fei-Fei DRL 357 64 0 09 Jun 2017
Sliced Wasserstein Generative Models Jiqing Wu Zhiwu Huang Dinesh Acharya Wen Li Janine Thoma Danda Pani Paudel Luc Van Gool DiffM 146 0 0 08 Jun 2017
InfoVAE: Information Maximizing Variational Autoencoders Shengjia Zhao Jiaming Song Stefano Ermon DRL 401 472 0 07 Jun 2017
DeLiGAN : Generative Adversarial Networks for Diverse and Limited DataComputer Vision and Pattern Recognition (CVPR), 2017 Swaminathan Gurumurthy Ravi Kiran Sarvadevabhatla R. Venkatesh Babu GAN 194 292 0 07 Jun 2017
On Unifying Deep Generative ModelsInternational Conference on Learning Representations (ICLR), 2017 Zhiting Hu Zichao Yang Ruslan Salakhutdinov Eric Xing DRL GAN 345 128 0 02 Jun 2017
Learning Disentangled Representations with Semi-Supervised Deep Generative ModelsNeural Information Processing Systems (NeurIPS), 2017 Siddharth Narayanaswamy Brooks Paige Jan-Willem van de Meent Alban Desmaison Noah D. Goodman Pushmeet Kohli Frank Wood Juil Sock DRL CoGe 376 374 0 01 Jun 2017
Variational Sequential Monte CarloInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2017 C. A. Naesseth Scott W. Linderman Rajesh Ranganath David M. Blei BDL 478 226 0 31 May 2017
Auto-Encoding Sequential Monte Carlo T. Le Maximilian Igl Tom Rainforth Tom Jin Frank Wood BDL DRL 434 158 0 29 May 2017
Lifelong Generative Modeling Jason Ramapuram Magda Gregorova Alexandros Kalousis BDL CLL 421 128 0 27 May 2017
Filtering Variational Objectives Chris J. Maddison Dieterich Lawson George Tucker N. Heess Mohammad Norouzi A. Mnih Arnaud Doucet Yee Whye Teh FedML 439 218 0 25 May 2017
Proximity Variational Inference Jaan Altosaar Rajesh Ranganath David M. Blei BDL 115 22 0 24 May 2017
VAE with a VampPrior Jakub M. Tomczak Max Welling GAN BDL 450 675 0 19 May 2017
Spatial Variational Auto-Encoding via Matrix-Variate Normal Distributions Zhengyang Wang Hao Yuan Shuiwang Ji DRL 144 8 0 18 May 2017
Learning Hard Alignments with Variational Inference Dieterich Lawson Chung-Cheng Chiu George Tucker Colin Raffel Kevin Swersky Navdeep Jaitly DRL 133 29 0 16 May 2017
Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning Thomas M. Moerland Joost Broekens Catholijn M. Jonker OffRL 308 32 0 01 May 2017
Semi-supervised Bayesian Deep Multi-modal Emotion Recognition Changde Du Changying Du Jinpeng Li Wei-Long Zheng Bao-Liang Lu Huiguang He 73 9 0 25 Apr 2017
VAE Learning via Stein Variational Gradient Descent Yunchen Pu Zhe Gan Ricardo Henao Chunyuan Li Shaobo Han Lawrence Carin DRL 194 6 0 18 Apr 2017
Creativity: Generating Diverse Questions using Variational Autoencoders Unnat Jain Ziyu Zhang Alex Schwing 163 157 0 11 Apr 2017
Continuously tempered Hamiltonian Monte Carlo Matthew M. Graham Amos J. Storkey 132 29 0 11 Apr 2017