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An Introduction to Variational Autoencoders

6 June 2019

Papers citing "An Introduction to Variational Autoencoders"

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Title
An In-depth Summary of Recent Artificial Intelligence Applications in Drug Design Yi Zhang AI4CE 76 6 0 10 Oct 2021
Towards Principled Causal Effect Estimation by Deep Identifiable Models Pengzhou (Abel) Wu Kenji Fukumizu BDL OOD CML 72 3 0 30 Sep 2021
Challenging the Semi-Supervised VAE Framework for Text Classification G. Felhi Joseph Le Roux Djamé Seddah BDL 59 2 0 27 Sep 2021
Cluster Analysis with Deep Embeddings and Contrastive Learning Ramakrishnan Sundareswaran Jansel Herrera-Gerena John Just Ali Janessari SSL DRL 74 4 0 26 Sep 2021
Assessing the Quality of the Datasets by Identifying Mislabeled Samples Vaibhav Pulastya Gaurav Nuti Yash Kumar Atri Tanmoy Chakraborty NoLa 84 5 0 10 Sep 2021
Relating Graph Neural Networks to Structural Causal Models Matej Zečević Devendra Singh Dhami Petar Velickovic Kristian Kersting AI4CE CML 134 56 0 09 Sep 2021
Efficient Out-of-Distribution Detection Using Latent Space of $β$ -VAE for Cyber-Physical Systems Shreyas Ramakrishna Zahra Rahiminasab G. Karsai Arvind Easwaran Abhishek Dubey OODD 85 28 0 26 Aug 2021
Hybrid quantum-classical machine learning for generative chemistry and drug design A. I. Gircha A. S. Boev K. Avchaciov P. Fedichev A. Fedorov AI4CE BDL 43 31 0 26 Aug 2021
Learning to discover: expressive Gaussian mixture models for multi-dimensional simulation and parameter inference in the physical sciences S. Menary D. Price 137 0 0 25 Aug 2021
Inverse design optimization framework via a two-step deep learning approach: application to a wind turbine airfoil Sunwoong Yang Sanga Lee K. Yee 65 42 0 19 Aug 2021
Autoencoders as Tools for Program Synthesis Sander de Bruin Vadim Liventsev M. Petković 65 4 0 16 Aug 2021
Analysis of ODE2VAE with Examples Batuhan Koyuncu DRL 31 0 0 10 Aug 2021
Regularized Sequential Latent Variable Models with Adversarial Neural Networks Jin Huang Ming Xiao BDL GNN DRL GAN 41 3 0 10 Aug 2021
Few-Shot Domain Adaptation For End-to-End Communication Jayaram Raghuram Yijing Zeng Dolores García R. Ruiz S. Jha Joerg Widmer Suman Banerjee 27 5 0 02 Aug 2021
Speech2AffectiveGestures: Synthesizing Co-Speech Gestures with Generative Adversarial Affective Expression Learning Uttaran Bhattacharya Elizabeth Childs Nicholas Rewkowski Tianyi Zhou SLR GAN 143 83 0 31 Jul 2021
Regularising Inverse Problems with Generative Machine Learning Models Margaret Duff Neill D. F. Campbell Matthias Joachim Ehrhardt GAN MedIm 67 38 0 22 Jul 2021
Establishing process-structure linkages using Generative Adversarial Networks Mohammad Safiuddin CH Likith Reddy Ganesh Vasantada Chjns Harsha Srinu Gangolu GAN AI4CE 21 0 0 20 Jul 2021
GenRadar: Self-supervised Probabilistic Camera Synthesis based on Radar Frequencies Carsten Ditzel Klaus C. J. Dietmayer 49 3 0 19 Jul 2021
High-Accuracy Model-Based Reinforcement Learning, a Survey Aske Plaat W. Kosters Mike Preuss OffRL 75 37 0 17 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 57 2 0 16 Jul 2021
Geometry and Generalization: Eigenvalues as predictors of where a network will fail to generalize S. Agarwala Ben Dees A. Gearhart Corey Lowman 50 2 0 13 Jul 2021
InfoNCE is variational inference in a recognition parameterised model Laurence Aitchison Stoil Ganev BDL 80 10 0 06 Jul 2021
Exploring the Latent Space of Autoencoders with Interventional Assays Felix Leeb Stefan Bauer M. Besserve Bernhard Schölkopf DRL 95 18 0 30 Jun 2021
Learning and Adaptation for Millimeter-Wave Beam Tracking and Training: a Dual Timescale Variational Framework Muddassar Hussain Nicolò Michelusi 74 24 0 27 Jun 2021
Scene Uncertainty and the Wellington Posterior of Deterministic Image Classifiers Stephanie Tsuei Aditya Golatkar Stefano Soatto UQCV 46 0 0 25 Jun 2021
Feature Alignment as a Generative Process T. S. Farias Jonas Maziero DiffM BDL 72 1 0 23 Jun 2021
Finding simplicity: unsupervised discovery of features, patterns, and order parameters via shift-invariant variational autoencoders M. Ziatdinov C. Wong Sergei V. Kalinin OOD 126 10 0 23 Jun 2021
A variational autoencoder approach for choice set generation and implicit perception of alternatives in choice modeling Rui Yao S. Bekhor DRL 50 13 0 19 Jun 2021
Model Selection for Bayesian Autoencoders Ba-Hien Tran Simone Rossi Dimitrios Milios Pietro Michiardi Edwin V. Bonilla Maurizio Filippone BDL 82 13 0 11 Jun 2021
Improving multi-speaker TTS prosody variance with a residual encoder and normalizing flows Iván Vallés-Pérez Julian Roth Grzegorz Beringer Roberto Barra-Chicote J. Droppo 100 8 0 10 Jun 2021
Artificial Intelligence in Drug Discovery: Applications and Techniques Jianyuan Deng Zhibo Yang Iwao Ojima Dimitris Samaras Fusheng Wang AI4TS 124 113 0 09 Jun 2021
SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video Decomposition Rishabh Kabra Daniel Zoran Goker Erdogan Loic Matthey Antonia Creswell M. Botvinick Alexander Lerchner Christopher P. Burgess OCL 123 79 0 07 Jun 2021
An Attribute-Aligned Strategy for Learning Speech Representation Yu-Lin Huang Bo-Hao Su Y.-W. Peter Hong Chi-Chun Lee 44 5 0 05 Jun 2021
Neural Distributed Source Coding Jay Whang Alliot Nagle Anish Acharya Hyeji Kim A. Dimakis 85 21 0 05 Jun 2021
Latent Space Refinement for Deep Generative Models R. Winterhalder Marco Bellagente Benjamin Nachman BDL GAN DRL DiffM 126 27 0 01 Jun 2021
Deconvolutional Density Network: Modeling Free-Form Conditional Distributions Bing Chen Mazharul Islam Jisuo Gao Lin Wang BDL CML 42 7 0 29 May 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 136 614 0 27 May 2021
Feature Space Exploration For Planning Initial Benthic AUV Surveys J. Shields Oscar Pizarro Stefan B. Williams 54 2 0 25 May 2021
Improving Semiconductor Device Modeling for Electronic Design Automation by Machine Learning Techniques Zeheng Wang Liang Li R. Leon Jinlin Yang Ju-Ran Shi Timothy van der Laan Muhammad Usman 18 17 0 25 May 2021
Disentanglement Learning for Variational Autoencoders Applied to Audio-Visual Speech Enhancement Guillaume Carbajal Julius Richter Timo Gerkmann DRL 87 15 0 19 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 67 78 0 16 May 2021
Conjunction Data Messages behave as a Poisson Process Francisco M. Caldas Cláudia Soares Cláudia Nunes Marta Guimarães Mariana Filipe R. Ventura 21 1 0 14 May 2021
Learning deep autoregressive models for hierarchical data Carl R. Andersson Niklas Wahlström Thomas B. Schon BDL 55 3 0 28 Apr 2021
Genetic Constrained Graph Variational Autoencoder for COVID-19 Drug Discovery Tianyue Cheng T. Fan Landi Wang 34 0 0 23 Apr 2021
Fusing Sufficient Dimension Reduction with Neural Networks Daniel Kapla L. Fertl E. Bura 76 10 0 20 Apr 2021
Fast ABC with joint generative modelling and subset simulation Eliane Maalouf D. Ginsbourger N. Linde 63 0 0 16 Apr 2021
Variational Autoencoder Analysis of Ising Model Statistical Distributions and Phase Transitions D. Yevick DRL 50 7 0 13 Apr 2021
Revisiting Bayesian Autoencoders with MCMC Rohitash Chandra Mahir Jain Manavendra Maharana P. Krivitsky UQCV BDL 112 18 0 13 Apr 2021
Understanding Event-Generation Networks via Uncertainties Marco Bellagente Manuel Haussmann Michel Luchmann Tilman Plehn BDL 118 55 0 09 Apr 2021
Autoencoder-based Representation Learning from Heterogeneous Multivariate Time Series Data of Mechatronic Systems Karl-Philipp Kortmann M. Fehsenfeld M. Wielitzka AI4TS 26 2 0 06 Apr 2021