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An Introduction to Variational Autoencoders

6 June 2019

Papers citing "An Introduction to Variational Autoencoders"

38 / 838 papers shown

Title
Data Driven Control with Learned Dynamics: Model-Based versus Model-Free Approach Wenjian Hao Yiqiang Han 26 6 0 16 Jun 2020
Fully Unsupervised Diversity Denoising with Convolutional Variational Autoencoders M. Prakash Alexander Krull Florian Jug DiffM 47 20 0 10 Jun 2020
Learning Robust Decision Policies from Observational Data Muhammad Osama Dave Zachariah Petre Stoica OOD OffRL 26 5 0 03 Jun 2020
Continual Learning of Predictive Models in Video Sequences via Variational Autoencoders Damian Campo Giulia Slavic Mohamad Baydoun L. Marcenaro C. Regazzoni CLL BDL 29 3 0 02 Jun 2020
Analog ensemble data assimilation and a method for constructing analogs with variational autoencoders Ian G. Grooms 65 29 0 01 Jun 2020
Constrained Variational Autoencoder for improving EEG based Speech Recognition Systems G. Krishna Co Tran Mason Carnahan Ahmed H. Tewfik DRL 15 7 0 01 Jun 2020
Introducing Latent Timbre Synthesis Kıvanç Tatar D. Bisig Philippe Pasquier 48 14 0 31 May 2020
Investigation Into the Viability of Neural Networks as a Means for Anomaly Detection in Experiments Like Atlas at the LHC Sully Billingsley 36 0 0 29 May 2020
Semi-supervised source localization with deep generative modeling Michael J. Bianco Sharon Gannot Peter Gerstoft DRL 66 21 0 27 May 2020
VarFA: A Variational Factor Analysis Framework For Efficient Bayesian Learning Analytics Zichao Wang Yi Gu Andrew Lan Richard Baraniuk 57 10 0 27 May 2020
Color Visual Illusions: A Statistics-based Computational Model Elad Hirsch A. Tal AAML 20 0 0 18 May 2020
A Deeper Look at the Unsupervised Learning of Disentangled Representations in $β$ -VAE from the Perspective of Core Object Recognition Harshvardhan Digvijay Sikka OCL OOD BDL DRL 98 1 0 25 Apr 2020
Amortized Bayesian model comparison with evidential deep learning Stefan T. Radev Marco D’Alessandro U. Mertens A. Voss Ullrich Kothe Paul-Christian Bürkner BDL 96 34 0 22 Apr 2020
Variational Policy Propagation for Multi-agent Reinforcement Learning Chao Qu Hui Li Chang-rui Liu Junwu Xiong James Y. Zhang Wei Chu Weiqiang Wang Yuan Qi L. Song 38 0 0 19 Apr 2020
A Hybrid Objective Function for Robustness of Artificial Neural Networks -- Estimation of Parameters in a Mechanical System J. Sokołowski V. Schulz Udo Schröder H. Beise AAML 16 0 0 16 Apr 2020
Sequential View Synthesis with Transformer Phong Nguyen-Ha Lam Huynh Esa Rahtu J. Heikkilä ViT 50 2 0 09 Apr 2020
State of the Art on Neural Rendering A. Tewari Ohad Fried Justus Thies Vincent Sitzmann Stephen Lombardi ... Christian Theobalt Maneesh Agrawala Eli Shechtman Dan B. Goldman Michael Zollhöfer 3DH 3DV 131 473 0 08 Apr 2020
Anomaly Detection in Video Data Based on Probabilistic Latent Space Models Giulia Slavic Damian Campo Mohamad Baydoun P. Marín David Martín L. Marcenaro C. Regazzoni DRL 99 13 0 17 Mar 2020
Towards a Resilient Machine Learning Classifier -- a Case Study of Ransomware Detection Chih-Yuan Yang R. Sahita AAML 8 3 0 13 Mar 2020
Variational Inference for Deep Probabilistic Canonical Correlation Analysis Mahdi Karami Dale Schuurmans BDL 21 4 0 09 Mar 2020
mmFall: Fall Detection using 4D MmWave Radar and a Hybrid Variational RNN AutoEncoder Feng Jin Arindam Sengupta Siyang Cao DRL 8 2 0 05 Mar 2020
Warwick Electron Microscopy Datasets Jeffrey M. Ede 105 14 0 02 Mar 2020
$π$ VAE: a stochastic process prior for Bayesian deep learning with MCMC Swapnil Mishra Seth Flaxman Tresnia Berah Harrison Zhu Mikko S. Pakkanen Samir Bhatt BDL 31 3 0 17 Feb 2020
Semi-supervised Grasp Detection by Representation Learning in a Vector Quantized Latent Space Mridul Mahajan Tryambak Bhattacharjee Arya Krishnan Priya Shukla G. C. Nandi DRL SSL 41 3 0 23 Jan 2020
Unsupervised Distribution Learning for Lunar Surface Anomaly Detection Adam Lesnikowski V. Bickel Daniel Angerhausen 13 10 0 14 Jan 2020
Parameter-Conditioned Sequential Generative Modeling of Fluid Flows Jeremy Morton F. Witherden Mykel J. Kochenderfer GAN MedIm AI4CE 41 10 0 14 Dec 2019
A Closer Look at Disentangling in $β$ -VAE Harshvardhan Digvijay Sikka Weishun Zhong J. Yin Cengiz Pehlevan CML CoGe BDL DRL 58 15 0 11 Dec 2019
Representational Rényi heterogeneity Abraham Nunes M. Alda T. Bardouille Thomas Trappenberg 23 4 0 10 Dec 2019
Adversarial Robustness of Flow-Based Generative Models Phillip E. Pope Yogesh Balaji Soheil Feizi AAML 48 20 0 20 Nov 2019
DeVLearn: A Deep Visual Learning Framework for Localizing Temporary Faults in Power Systems Shuchismita Biswas Rounak Meyur Virgilio Centeno 26 0 0 09 Nov 2019
Toward a Better Monitoring Statistic for Profile Monitoring via Variational Autoencoders N. Sergin Hao Yan DRL 63 22 0 01 Nov 2019
Fluid Flow Mass Transport for Generative Networks Jingrong Lin Keegan Lensink Dirk Soffker GAN 78 8 0 03 Oct 2019
Multi-task Batch Reinforcement Learning with Metric Learning Jiachen Li Q. Vuong Shuang Liu Minghua Liu K. Ciosek George Andriopoulos Henrik I. Christensen H. Su OffRL 65 2 0 25 Sep 2019
Prediction of rare feature combinations in population synthesis: Application of deep generative modelling Sergio Garrido S. Borysov Francisco Câmara Pereira Jeppe Rich 50 42 0 17 Sep 2019
Normalizing Flows: An Introduction and Review of Current Methods I. Kobyzev S. Prince Marcus A. Brubaker TPM MedIm 100 58 0 25 Aug 2019
DeepClean -- self-supervised artefact rejection for intensive care waveform data using deep generative learning Tom Edinburgh P. Smielewski M. Czosnyka S. Eglen A. Ercole MedIm 13 9 0 08 Aug 2019
Informed Machine Learning -- A Taxonomy and Survey of Integrating Knowledge into Learning Systems Laura von Rueden S. Mayer Katharina Beckh B. Georgiev Sven Giesselbach ... Rajkumar Ramamurthy Michal Walczak Jochen Garcke Christian Bauckhage Jannis Schuecker 157 653 0 29 Mar 2019
Learning the dynamics of technical trading strategies Nicholas Murphy Tim Gebbie 16 5 0 06 Mar 2019