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An Introduction to Variational Autoencoders

6 June 2019

Papers citing "An Introduction to Variational Autoencoders"

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Title
Population synthesis for urban resident modeling using deep generative models M. Johnsen Oliver Brandt Sergio Garrido Francisco Câmara Pereira 80 11 0 13 Nov 2020
Reward Conditioned Neural Movement Primitives for Population Based Variational Policy Optimization M. Akbulut Utku Bozdoğan Ahmet E. Tekden Emre Ugur 109 5 0 09 Nov 2020
Data--driven Image Restoration with Option--driven Learning for Big and Small Astronomical Image Datasets P. Jia Ruiyu Ning Ruiqi Sun Xiaoshan Yang Dongmei Cai GAN 44 11 0 07 Nov 2020
Learning a Generative Motion Model from Image Sequences based on a Latent Motion Matrix Julian Krebs H. Delingette N. Ayache Tommaso Mansi MedIm 73 14 0 03 Nov 2020
The ELBO of Variational Autoencoders Converges to a Sum of Three Entropies Simon Damm D. Forster Dmytro Velychko Zhenwen Dai Asja Fischer Jörg Lücke DRL 69 5 0 28 Oct 2020
Improving seasonal forecast using probabilistic deep learning B. Pan G. Anderson André Goncalves Donald D. Lucas C. Bonfils Jiwoo Lee BDL AI4Cl 118 33 0 27 Oct 2020
Wavelet Flow: Fast Training of High Resolution Normalizing Flows Jason J. Yu Konstantinos G. Derpanis Marcus A. Brubaker TPM 166 41 0 26 Oct 2020
Scalable Gaussian Process Variational Autoencoders Metod Jazbec Matthew Ashman Vincent Fortuin Michael Pearce Stephan Mandt Gunnar Rätsch DRL BDL 89 29 0 26 Oct 2020
SUREMap: Predicting Uncertainty in CNN-based Image Reconstruction Using Stein's Unbiased Risk Estimate Ruangrawee Kitichotkul Christopher A. Metzler Frank Ong Gordon Wetzstein UQCV 86 8 0 25 Oct 2020
Two-sample Test using Projected Wasserstein Distance Jie Wang Rui Gao Yao Xie 111 21 0 22 Oct 2020
Principled Interpolation in Normalizing Flows Samuel G. Fadel Sebastian Mair Ricardo da S. Torres Ulf Brefeld 146 3 0 22 Oct 2020
Probabilistic Character Motion Synthesis using a Hierarchical Deep Latent Variable Model Saeed Ghorbani C. Wloka Ali Etemad M. Brubaker N. Troje 3DV 78 32 0 20 Oct 2020
A semi-supervised autoencoder framework for joint generation and classification of breathing O. Pastor-Serrano D. Lathouwers Zoltán Perkó MedIm AI4TS 23 0 0 19 Oct 2020
Variational Capsule Encoder Harish RaviPrakash Syed Muhammad Anwar Ulas Bagci BDL DRL 43 2 0 18 Oct 2020
Deep generative demixing: Recovering Lipschitz signals from noisy subgaussian mixtures Aaron Berk 43 0 0 13 Oct 2020
Controlling the Interaction Between Generation and Inference in Semi-Supervised Variational Autoencoders Using Importance Weighting G. Felhi Joseph Leroux Djamé Seddah BDL 56 1 0 13 Oct 2020
PAST-AI: Physical-layer Authentication of Satellite Transmitters via Deep Learning Gabriele Oligeri Simone Raponi Savio Sciancalepore Roberto Di Pietro 82 79 0 12 Oct 2020
Generating Gameplay-Relevant Art Assets with Transfer Learning Adrián González-Casillas Matthew J. Guzdial Félix Ramos 43 9 0 04 Oct 2020
A Unifying Review of Deep and Shallow Anomaly Detection Lukas Ruff Jacob R. Kauffmann Robert A. Vandermeulen G. Montavon Wojciech Samek Marius Kloft Thomas G. Dietterich Klaus-Robert Muller UQCV 150 806 0 24 Sep 2020
A Variational Auto-Encoder for Reservoir Monitoring K. Gundersen S. Hosseini A. Oleynik G. Alendal 8 1 0 23 Sep 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 197 80 0 17 Sep 2020
That looks interesting! Personalizing Communication and Segmentation with Random Forest Node Embeddings Weiwei Wang Wiebke Eberhardt Stefano Bromuri 114 1 0 13 Sep 2020
MeLIME: Meaningful Local Explanation for Machine Learning Models T. Botari Frederik Hvilshoj Rafael Izbicki A. Carvalho AAML FAtt 75 16 0 12 Sep 2020
Stabilizing Invertible Neural Networks Using Mixture Models Paul Hagemann Sebastian Neumayer 53 39 0 07 Sep 2020
Deep Learning for the Analysis of Disruption Precursors based on Plasma Tomography D. R. Ferreira P. Carvalho C. Sozzi P. Lomas JET Contributors 13 7 0 06 Sep 2020
Looking for change? Roll the Dice and demand Attention F. Diakogiannis F. Waldner P. Caccetta 121 68 0 04 Sep 2020
DCTRGAN: Improving the Precision of Generative Models with Reweighting S. Diefenbacher E. Eren Gregor Kasieczka A. Korol Benjamin Nachman David Shih 78 44 0 03 Sep 2020
Dynamical Variational Autoencoders: A Comprehensive Review Laurent Girin Simon Leglaive Xiaoyu Bie Julien Diard Thomas Hueber Xavier Alameda-Pineda BDL 143 222 0 28 Aug 2020
Generative chemistry: drug discovery with deep learning generative models Yuemin Bian X. Xie AI4CE 128 97 0 20 Aug 2020
Bayesian neural networks and dimensionality reduction Deborshee Sen Theodore Papamarkou David B. Dunson BDL 61 5 0 18 Aug 2020
GANplifying Event Samples A. Butter S. Diefenbacher Gregor Kasieczka Benjamin Nachman Tilman Plehn GAN 78 73 0 14 Aug 2020
Deep Model-Based Reinforcement Learning for High-Dimensional Problems, a Survey Aske Plaat W. Kosters Mike Preuss BDL OffRL 111 17 0 11 Aug 2020
SAFRON: Stitching Across the Frontier for Generating Colorectal Cancer Histology Images Srijay Deshpande F. Minhas S. Graham Nasir M. Rajpoot MedIm 46 8 0 11 Aug 2020
Diversifying Task-oriented Dialogue Response Generation with Prototype Guided Paraphrasing Phillip Lippe Pengjie Ren H. Haned B. Voorn Maarten de Rijke 38 11 0 07 Aug 2020
Generative Adversarial Networks for Image and Video Synthesis: Algorithms and Applications Xuan Li Xun Huang Jiahui Yu Ting-Chun Wang Arun Mallya GAN 170 155 0 06 Aug 2020
Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications Jihong Park S. Samarakoon Anis Elgabli Joongheon Kim M. Bennis Seong-Lyun Kim Mérouane Debbah 102 164 0 06 Aug 2020
Neural Language Generation: Formulation, Methods, and Evaluation Cristina Garbacea Qiaozhu Mei 158 30 0 31 Jul 2020
Learning Structured Latent Factors from Dependent Data:A Generative Model Framework from Information-Theoretic Perspective Ruixiang Zhang Masanori Koyama Katsuhiko Ishiguro CML 58 6 0 21 Jul 2020
Semi Conditional Variational Auto-Encoder for Flow Reconstruction and Uncertainty Quantification from Limited Observations K. Gundersen A. Oleynik N. Blaser G. Alendal BDL 73 29 0 19 Jul 2020
Deep Learning in Protein Structural Modeling and Design Wenhao Gao S. Mahajan Jeremias Sulam Jeffrey J. Gray 89 161 0 16 Jul 2020
Hands-on Bayesian Neural Networks -- a Tutorial for Deep Learning Users Laurent Valentin Jospin Wray Buntine F. Boussaïd Hamid Laga Bennamoun OOD BDL UQCV 95 635 0 14 Jul 2020
Fisher Auto-Encoders Khalil Elkhalil Ali Hasan Jie Ding Sina Farsiu Vahid Tarokh 36 9 0 12 Jul 2020
Estimating Stochastic Poisson Intensities Using Deep Latent Models Ruixin Wang Prateek Jaiswal Harsha Honnappa 8 7 0 12 Jul 2020
Self-Reflective Variational Autoencoder Ifigeneia Apostolopoulou Elan Rosenfeld A. Dubrawski OOD BDL DRL 52 0 0 10 Jul 2020
Point Set Voting for Partial Point Cloud Analysis Junming Zhang Weijia Chen Yuping Wang Ram Vasudevan Matthew Johnson-Roberson 3DPC 72 34 0 09 Jul 2020
SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows Didrik Nielsen P. Jaini Emiel Hoogeboom Ole Winther Max Welling TPM BDL DRL 84 92 0 06 Jul 2020
Robustifying the Deployment of tinyML Models for Autonomous mini-vehicles Miguel de Prado Manuele Rusci Romain Donze Alessandro Capotondi Serge Monnerat Luca Benini and Nuria Pazos 97 40 0 01 Jul 2020
Diffusion-Weighted Magnetic Resonance Brain Images Generation with Generative Adversarial Networks and Variational Autoencoders: A Comparison Study Alejandro Ungría Hirte Moritz Platscher T. Joyce J. Heit E. Tranvinh C. Federau MedIm DiffM 24 6 0 24 Jun 2020
Locally Masked Convolution for Autoregressive Models Ajay Jain Pieter Abbeel Deepak Pathak DiffM OffRL 120 32 0 22 Jun 2020
A Data-driven Market Simulator for Small Data Environments Hans Bühler Blanka Horvath Terry Lyons Imanol Perez Arribas Ben Wood 90 67 0 21 Jun 2020