An Introduction to Variational Autoencoders

6 June 2019

Papers citing "An Introduction to Variational Autoencoders"

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Title
Unsupervised Learning Architecture for Classifying the Transient Noise of Interferometric Gravitational-wave Detectors Yusuke Sakai Y. Itoh P. Jung K. Kokeyama C. Kozakai ... T. Uchiyama G. Ueshima T. Washimi Takahiro Yamamoto T. Yokozawa 14 12 0 19 Nov 2021
CSI Clustering with Variational Autoencoding Michael Baur M. Würth M. Koller V. Andrei Wolfgang Utschick DRL 17 2 0 18 Nov 2021
A Vertical Federated Learning Method For Multi-Institutional Credit Scoring: MICS Yusuf Efe FedML 15 5 0 17 Nov 2021
Probabilistic Autoencoder using Fisher Information J. Zacherl Philipp Frank T. Ensslin EgoV AI4CE 19 2 0 28 Oct 2021
Machine learning spectral functions in lattice QCD S.-Y. Chen H. Ding Feng Liu G. Papp C.-B. Yang 14 20 0 26 Oct 2021
Discrete Acoustic Space for an Efficient Sampling in Neural Text-To-Speech Mu-Wei Li Jonas Rohnke A. Bonafonte Mateusz Lajszczak Trevor Wood DRL 17 2 0 24 Oct 2021
MUGL: Large Scale Multi Person Conditional Action Generation with Locomotion Shubh Maheshwari Debtanu Gupta Ravi Kiran Sarvadevabhatla 32 19 0 21 Oct 2021
Generating Multivariate Load States Using a Conditional Variational Autoencoder Chenguang Wang Ensieh Sharifnia Zhi Gao Simon Tindemans Peter Palensky 24 22 0 21 Oct 2021
Deep Generative Models in Engineering Design: A Review Lyle Regenwetter A. Nobari Faez Ahmed 3DV AI4CE 24 175 0 21 Oct 2021
Physics-guided Deep Markov Models for Learning Nonlinear Dynamical Systems with Uncertainty Wei Liu Zhilu Lai Kiran Bacsa Eleni Chatzi PINN BDL AI4CE 18 33 0 16 Oct 2021
Challenges for Unsupervised Anomaly Detection in Particle Physics Katherine Fraser S. Homiller Rashmish K. Mishra B. Ostdiek M. Schwartz DRL 27 43 0 13 Oct 2021
$β$ -Intact-VAE: Identifying and Estimating Causal Effects under Limited Overlap Pengzhou (Abel) Wu Kenji Fukumizu CML 33 14 0 11 Oct 2021
Towards Principled Causal Effect Estimation by Deep Identifiable Models Pengzhou (Abel) Wu Kenji Fukumizu BDL OOD CML 22 3 0 30 Sep 2021
Challenging the Semi-Supervised VAE Framework for Text Classification G. Felhi Joseph Le Roux Djamé Seddah BDL 18 2 0 27 Sep 2021
Assessing the Quality of the Datasets by Identifying Mislabeled Samples Vaibhav Pulastya Gaurav Nuti Yash Kumar Atri Tanmoy Chakraborty NoLa 25 5 0 10 Sep 2021
Relating Graph Neural Networks to Structural Causal Models Matej Zečević D. Dhami Petar Velickovic Kristian Kersting AI4CE CML 60 53 0 09 Sep 2021
Speech2AffectiveGestures: Synthesizing Co-Speech Gestures with Generative Adversarial Affective Expression Learning Uttaran Bhattacharya Elizabeth Childs Nicholas Rewkowski Dinesh Manocha SLR GAN 16 80 0 31 Jul 2021
Joint Semi-supervised 3D Super-Resolution and Segmentation with Mixed Adversarial Gaussian Domain Adaptation N. Savioli A. de Marvao Wenjia Bai Shuo Wang S. Cook C. Chin Daniel Rueckert D. O’Regan MedIm 17 2 0 16 Jul 2021
Exploring the Latent Space of Autoencoders with Interventional Assays Felix Leeb Stefan Bauer M. Besserve Bernhard Schölkopf DRL 41 17 0 30 Jun 2021
Latent Space Refinement for Deep Generative Models R. Winterhalder Marco Bellagente Benjamin Nachman BDL GAN DRL DiffM 10 27 0 01 Jun 2021
Recent advances and clinical applications of deep learning in medical image analysis Xuxin Chen Ximing Wang Kecheng Zhang K. Fung T. Thai K. Moore Robert S. Mannel Hong Liu B. Zheng Y. Qiu OOD 18 569 0 27 May 2021
AtomAI: A Deep Learning Framework for Analysis of Image and Spectroscopy Data in (Scanning) Transmission Electron Microscopy and Beyond M. Ziatdinov Ayana Ghosh Tommy Wong Sergei V. Kalinin 10 72 0 16 May 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 15 7 0 17 Mar 2021
Symmetry meets AI G. Barenboim J. Hirn V. Sanz 17 21 0 10 Mar 2021
An Introduction to Deep Generative Modeling Lars Ruthotto E. Haber AI4CE 16 220 0 09 Mar 2021
Guided Variational Autoencoder for Speech Enhancement With a Supervised Classifier Guillaume Carbajal Julius Richter Timo Gerkmann DRL SSL 8 16 0 12 Feb 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 19 25 0 25 Jan 2021
Scaling Up Bayesian Uncertainty Quantification for Inverse Problems using Deep Neural Networks Shiwei Lan Shuyi Li B. Shahbaba UQCV BDL 17 16 0 11 Jan 2021
Advances in Electron Microscopy with Deep Learning Jeffrey M. Ede 27 2 0 04 Jan 2021
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 6 21 0 04 Dec 2020
Meta-Generating Deep Attentive Metric for Few-shot Classification Lei Zhang Fei Zhou Wei Wei Yanning Zhang VLM 31 28 0 03 Dec 2020
Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images R. Child BDL VLM 31 336 0 20 Nov 2020
Population synthesis for urban resident modeling using deep generative models M. Johnsen Oliver Brandt Sergio Garrido Francisco Câmara Pereira 19 11 0 13 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 6 11 0 07 Nov 2020
Wavelet Flow: Fast Training of High Resolution Normalizing Flows Jason J. Yu Konstantinos G. Derpanis Marcus A. Brubaker TPM 24 41 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 28 8 0 25 Oct 2020
Principled Interpolation in Normalizing Flows Samuel G. Fadel Sebastian Mair Ricardo da S. Torres Ulf Brefeld 75 3 0 22 Oct 2020
A semi-supervised autoencoder framework for joint generation and classification of breathing O. Pastor-Serrano D. Lathouwers Zoltán Perkó MedIm AI4TS 4 0 0 19 Oct 2020
Variational Capsule Encoder Harish RaviPrakash Syed Muhammad Anwar Ulas Bagci BDL DRL 8 2 0 18 Oct 2020
Deep generative demixing: Recovering Lipschitz signals from noisy subgaussian mixtures Aaron Berk 14 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 16 1 0 13 Oct 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 22 79 0 17 Sep 2020
Looking for change? Roll the Dice and demand Attention F. Diakogiannis F. Waldner P. Caccetta 19 66 0 04 Sep 2020
Generative Adversarial Networks for Image and Video Synthesis: Algorithms and Applications Ming-Yu Liu Xun Huang Jiahui Yu Ting-Chun Wang Arun Mallya GAN 28 153 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 23 161 0 06 Aug 2020
Semi Conditional Variational Auto-Encoder for Flow Reconstruction and Uncertainty Quantification from Limited Observations K. Gundersen A. Oleynik N. Blaser G. Alendal BDL 14 27 0 19 Jul 2020
Deep Learning in Protein Structural Modeling and Design Wenhao Gao S. Mahajan Jeremias Sulam Jeffrey J. Gray 21 159 0 16 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 17 39 0 01 Jul 2020
Locally Masked Convolution for Autoregressive Models Ajay Jain Pieter Abbeel Deepak Pathak DiffM OffRL 28 31 0 22 Jun 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 19 1 0 25 Apr 2020