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An Introduction to Variational Autoencoders

6 June 2019

Papers citing "An Introduction to Variational Autoencoders"

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Title
Creativity and Machine Learning: A Survey Giorgio Franceschelli Mirco Musolesi VLM AI4CE 129 43 0 06 Apr 2021
Nonlinear Model Based Guidance with Deep Learning Based Target Trajectory Prediction Against Aerial Agile Attack Patterns A. S. Satir Umut Demir Gulay Goktas Sever N. K. Üre 25 4 0 06 Apr 2021
Interpretable Unsupervised Diversity Denoising and Artefact Removal M. Prakash M. Delbracio P. Milanfar Florian Jug 122 34 0 03 Apr 2021
Reconciling the Discrete-Continuous Divide: Towards a Mathematical Theory of Sparse Communication André F. T. Martins 72 1 0 01 Apr 2021
$Learning Scalable $\ell_\infty$-constrained Near-lossless Image Compression via Joint Lossy Image and Residual Compression$ Learning Scalable $\ell_\infty$ -constrained Near-lossless Image Compression via Joint Lossy Image and Residual Compression Yuanchao Bai Xianming Liu W. Zuo Yaowei Wang Xiangyang Ji MQ 62 26 0 31 Mar 2021
3D Reasoning for Unsupervised Anomaly Detection in Pediatric WbMRI Alex Chang Vinith Suriyakumar Abhishek Moturu James Tu Nipaporn Tewattanarat Sayali Joshi A. Doria Anna Goldenberg MedIm 27 1 0 24 Mar 2021
Unsupervised Doppler Radar-Based Activity Recognition for e-Healthcare Yordanka Karayaneva S. Sharifzadeh Wenda Li Yanguo Jing Bo Tan 17 12 0 18 Mar 2021
NEO: Non Equilibrium Sampling on the Orbit of a Deterministic Transform Achille Thin Yazid Janati Sylvain Le Corff Charles Ollion Arnaud Doucet Alain Durmus Eric Moulines C. Robert 77 7 0 17 Mar 2021
Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling DJordje Miladinović Aleksandar Stanić Stefan Bauer Jürgen Schmidhuber J. M. Buhmann DRL 76 9 0 16 Mar 2021
Symmetry meets AI G. Barenboim J. Hirn V. Sanz 65 22 0 10 Mar 2021
BIKED: A Dataset for Computational Bicycle Design with Machine Learning Benchmarks Lyle Regenwetter Brent Curry Faez Ahmed 131 38 0 10 Mar 2021
Deep and Statistical Learning in Biomedical Imaging: State of the Art in 3D MRI Brain Tumor Segmentation K. R. M. Fernando Cris P Tsokos 71 54 0 09 Mar 2021
An Introduction to Deep Generative Modeling Lars Ruthotto E. Haber AI4CE 116 232 0 09 Mar 2021
Machine Learning Techniques to Construct Patched Analog Ensembles for Data Assimilation L. Yang Ian G. Grooms 34 18 0 27 Feb 2021
Countering Malicious DeepFakes: Survey, Battleground, and Horizon Felix Juefei Xu Run Wang Yihao Huang Qing Guo Lei Ma Yang Liu AAML 110 138 0 27 Feb 2021
Towards Solving the DeepFake Problem : An Analysis on Improving DeepFake Detection using Dynamic Face Augmentation Sowmen Das Selim S. Seferbekov Arup Datta Md. Saiful Islam Md Ruhul Amin CVBM 75 66 0 18 Feb 2021
Certifiably Robust Variational Autoencoders Ben Barrett A. Camuto M. Willetts Tom Rainforth AAML DRL 88 16 0 15 Feb 2021
Guided Variational Autoencoder for Speech Enhancement With a Supervised Classifier Guillaume Carbajal Julius Richter Timo Gerkmann DRL SSL 50 17 0 12 Feb 2021
Deep learning approaches to surrogates for solving the diffusion equation for mechanistic real-world simulations J. Q. Toledo-Marín Geoffrey C. Fox J. Sluka J. Glazier MedIm AI4CE 69 9 0 10 Feb 2021
In-game Residential Home Planning via Visual Context-aware Global Relation Learning Lijuan Liu Yin Yang Yi Yuan Tianjia Shao He Wang Kun Zhou 30 5 0 08 Feb 2021
Achieving Explainability for Plant Disease Classification with Disentangled Variational Autoencoders Harshana Habaragamuwa Y. Oishi Kenichi Tanaka 100 9 0 05 Feb 2021
Hierarchical Variational Autoencoder for Visual Counterfactuals Nicolas Vercheval A. Pižurica CML DRL BDL 84 2 0 01 Feb 2021
Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting Kashif Rasul Calvin Seward Ingmar Schuster Roland Vollgraf DiffM 173 320 0 28 Jan 2021
Semi-supervised source localization in reverberant environments with deep generative modeling Michael J. Bianco Sharon Gannot Efren Fernandez-Grande Peter Gerstoft 66 21 0 26 Jan 2021
High-fidelity Prediction of Megapixel Longitudinal Phase-space Images of Electron Beams using Encoder-Decoder Neural Networks Jun Zhu Ye Chen F. Brinker W. Decking S. Tomin H. Schlarb AI4CE 47 25 0 25 Jan 2021
Knowledge Generation -- Variational Bayes on Knowledge Graphs Florian Wolf BDL 27 0 0 21 Jan 2021
Unsupervised Imputation of Non-ignorably Missing Data Using Importance-Weighted Autoencoders David K. Lim N. Rashid Junier B. Oliva J. Ibrahim 38 3 0 18 Jan 2021
Intact-VAE: Estimating Treatment Effects under Unobserved Confounding Pengzhou (Abel) Wu Kenji Fukumizu CML 101 13 0 17 Jan 2021
Convex Smoothed Autoencoder-Optimal Transport model Aratrika Mustafi GAN DRL 44 1 0 14 Jan 2021
Scaling Up Bayesian Uncertainty Quantification for Inverse Problems using Deep Neural Networks Shiwei Lan Shuyi Li Babak Shahbaba UQCV BDL 86 16 0 11 Jan 2021
Advances in Electron Microscopy with Deep Learning Jeffrey M. Ede 105 3 0 04 Jan 2021
A Novel Resampling Technique for Imbalanced Dataset Optimization Ivan Letteri Antonio Di Cecco Abeer Dyoub G. D. Penna AI4TS 8 13 0 30 Dec 2020
Emergent Hand Morphology and Control from Optimizing Robust Grasps of Diverse Objects Xinlei Pan Animesh Garg Anima Anandkumar Yuke Zhu 94 15 0 22 Dec 2020
Variational Transport: A Convergent Particle-BasedAlgorithm for Distributional Optimization Zhuoran Yang Yufeng Zhang Yongxin Chen Zhaoran Wang OT 91 5 0 21 Dec 2020
Planning from Pixels in Atari with Learned Symbolic Representations Andrea Dittadi Frederik K. Drachmann Thomas Bolander 94 11 0 16 Dec 2020
Generative Deep Learning Techniques for Password Generation D. Biesner K. Cvejoski B. Georgiev R. Sifa Erik Krupicka 42 5 0 10 Dec 2020
Solving Inverse Problems for Spectral Energy Distributions with Deep Generative Networks Agapi Rissaki Orestis Pavlou Dimitris Fotakis V. P. Lesta A. Efstathiou GAN 28 0 0 09 Dec 2020
Enhance Convolutional Neural Networks with Noise Incentive Block Menghan Xia Yi Wang Chu Han T. Wong 43 1 0 09 Dec 2020
Application of deep learning to large scale riverine flow velocity estimation M. Forghani Yizhou Qian Jonghyun Lee Matthew W. Farthing T. Hesser P. Kitanidis Eric F. Darve 51 21 0 04 Dec 2020
Generative Capacity of Probabilistic Protein Sequence Models Francisco McGee Quentin Novinger R. Levy Vincenzo Carnevale A. Haldane 85 34 0 03 Dec 2020
Classification and reconstruction of optical quantum states with deep neural networks Shahnawaz Ahmed C. Muñoz Franco Nori A. F. Kockum 88 64 0 03 Dec 2020
Recursive Tree Grammar Autoencoders Benjamin Paassen I. Koprinska K. Yacef 52 8 0 03 Dec 2020
Meta-Generating Deep Attentive Metric for Few-shot Classification Lei Zhang Fei Zhou Wei Wei Yanning Zhang VLM 111 28 0 03 Dec 2020
Intrusion Detection Systems for IoT: opportunities and challenges offered by Edge Computing and Machine Learning Pietro Spadaccino F. Cuomo 43 19 0 02 Dec 2020
Deep dynamic modeling with just two time points: Can we still allow for individual trajectories? Maren Hackenberg Philipp Harms Michelle Pfaffenlehner Astrid Pechmann Janbernd Kirschner Thorsten Schmidt Harald Binder 45 4 0 01 Dec 2020
A Convenient Infinite Dimensional Framework for Generative Adversarial Learning H. Asatryan Hanno Gottschalk Marieke Lippert Matthias Rottmann GAN 143 10 0 24 Nov 2020
Synthesizing Optical and SAR Imagery From Land Cover Maps and Auxiliary Raster Data Gerald Baier Antonin Deschemps M. Schmitt Naoto Yokoya GAN 79 36 0 23 Nov 2020
Deep Smartphone Sensors-WiFi Fusion for Indoor Positioning and Tracking L. Antsfeld Boris Chidlovskii Emilio Sansano-Sansano 42 7 0 21 Nov 2020
Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images R. Child BDL VLM 192 353 0 20 Nov 2020
FAIR: Fair Adversarial Instance Re-weighting Andrija Petrović Mladen Nikolic Sandro Radovanović Boris Delibavsić Milovs Jovanović FaML AAML 53 34 0 15 Nov 2020