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An Introduction to Variational Autoencoders

6 June 2019

Papers citing "An Introduction to Variational Autoencoders"

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Title
Explicitly Minimizing the Blur Error of Variational Autoencoders G. Bredell Kyriakos Flouris K. Chaitanya Ertunc Erdil E. Konukoglu 75 25 0 12 Apr 2023
Towards Real-time Text-driven Image Manipulation with Unconditional Diffusion Models Nikita Starodubcev Dmitry Baranchuk Valentin Khrulkov Artem Babenko DiffM 98 4 0 10 Apr 2023
Embarrassingly Simple MixUp for Time-series Karan Aggarwal Jaideep Srivastava AI4TS 46 2 0 09 Apr 2023
Towards Automated Urban Planning: When Generative and ChatGPT-like AI Meets Urban Planning Dongjie Wang Chang-Tien Lu Yanjie Fu AI4CE 77 27 0 08 Apr 2023
Fairness through Aleatoric Uncertainty Anique Tahir Lu Cheng Huan Liu 100 13 0 07 Apr 2023
Zero-shot Medical Image Translation via Frequency-Guided Diffusion Models Yunxiang Li H. Shao Xiao Liang Liyuan Chen Ruiqi Li Steve B. Jiang Jing Wang You Zhang MedIm DiffM 97 52 0 05 Apr 2023
DoE2Vec: Deep-learning Based Features for Exploratory Landscape Analysis Bas van Stein Fu Xing Long M. Frenzel Peter Krause M. Gitterle T.H.W. Bäck 59 19 0 31 Mar 2023
Physics and Chemistry from Parsimonious Representations: Image Analysis via Invariant Variational Autoencoders Mani Valleti Yongtao Liu Sergei V. Kalinin DRL 65 4 0 30 Mar 2023
Manifold Learning by Mixture Models of VAEs for Inverse Problems Giovanni S. Alberti J. Hertrich Matteo Santacesaria Silvia Sciutto DRL 109 7 0 27 Mar 2023
Conjunction Data Messages for Space Collision Behave as a Poisson Process Francisco M. Caldas Cláudia Soares Cláudia Nunes Marta Guimarães 37 1 0 27 Mar 2023
Partially Adaptive Multichannel Joint Reduction of Ego-noise and Environmental Noise Hu Fang Niklas Wittmer Johannes Twiefel S. Wermter Timo Gerkmann 35 3 0 27 Mar 2023
Deep Kernel Methods Learn Better: From Cards to Process Optimization Mani Valleti Rama K Vasudevan M. Ziatdinov Sergei V. Kalinin BDL 36 9 0 25 Mar 2023
Continuous Indeterminate Probability Neural Network T.A. Yang BDL 53 0 0 23 Mar 2023
Anomaly Detection in Aeronautics Data with Quantum-compatible Discrete Deep Generative Model T. Templin Milad Memarzadeh W. Vinci P. A. Lott A. A. Asanjan Anthony Alexiades Armenakas E. Rieffel DRL 51 5 0 22 Mar 2023
Targeted Analysis of High-Risk States Using an Oriented Variational Autoencoder Chenguang Wang Ensieh Sharifnia Simon Tindemans Peter Palensky DRL 49 0 0 20 Mar 2023
Pluralistic Aging Diffusion Autoencoder Peipei Li Rui Wang Huaibo Huang Ran He Zhaofeng He DiffM 56 15 0 20 Mar 2023
Deep Nonparametric Estimation of Intrinsic Data Structures by Chart Autoencoders: Generalization Error and Robustness Hao Liu Alex Havrilla Rongjie Lai Wenjing Liao 77 6 0 17 Mar 2023
A Novel Autoencoders-LSTM Model for Stroke Outcome Prediction using Multimodal MRI Data Nima Hatami L. Mechtouff D. Rousseau Tae-Hee Cho O. Eker Y. Berthezène Carole Frindel 21 3 0 16 Mar 2023
Relax, it doesn't matter how you get there: A new self-supervised approach for multi-timescale behavior analysis Mehdi Azabou Michael J. Mendelson Nauman Ahad Maks Sorokin S. Thakoor Carolina Urzay Eva L. Dyer 76 4 0 15 Mar 2023
Generating symbolic music using diffusion models Lilac Atassi DiffM 90 7 0 15 Mar 2023
Bayesian Beta-Bernoulli Process Sparse Coding with Deep Neural Networks Arunesh Mittal Kai Yang P. Sajda John Paisley BDL 23 0 0 14 Mar 2023
Using VAEs to Learn Latent Variables: Observations on Applications in cryo-EM Daniel G Edelberg Roy R. Lederman CML DRL 56 5 0 13 Mar 2023
Learning Representation for Anomaly Detection of Vehicle Trajectories Ruochen Jiao Juyang Bai Xiangguo Liu Takami Sato Xiao-Fang Yuan Qi Alfred Chen Qiuhan Zhu AI4TS AAML 128 15 0 09 Mar 2023
Synthetic ECG Signal Generation using Probabilistic Diffusion Models Edmond Adib Amanda Fernandez Fatemeh Afghah John J. Prevost DiffM 106 43 0 04 Mar 2023
One-class Damage Detector Using Deeper Fully-Convolutional Data Descriptions for Civil Application Takato Yasuno Masahiro Okano Junichiro Fujii 58 7 0 03 Mar 2023
Learning to Retain while Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation Gaurav Patel Konda Reddy Mopuri Qiang Qiu 76 28 0 28 Feb 2023
Learning Electron Bunch Distribution along a FEL Beamline by Normalising Flows Anna Willmann J. C. Cabadağ Yen-Yu Chang R. Pausch Amin Ghaith A. Debus A. Irman Michael Bussmann Steve Schmerler Nico Hoffmann 35 0 0 27 Feb 2023
Chaotic Variational Auto encoder-based Adversarial Machine Learning Pavan Venkata Sainadh Reddy Yelleti Vivek Gopi Pranay V. Ravi DRL AAML 85 1 0 25 Feb 2023
Imputing Knowledge Tracing Data with Subject-Based Training via LSTM Variational Autoencoders Frameworks J. Shen Dongwon Lee 26 0 0 24 Feb 2023
Towards Zero-trust Security for the Metaverse Ruizhi Cheng Songqing Chen Bo Han 56 32 0 17 Feb 2023
Qualitative Data Augmentation for Performance Prediction in VLSI circuits Prashast Srivastava Kiran Ravish Zia Abbas 60 1 0 15 Feb 2023
Learning to Scale Temperature in Masked Self-Attention for Image Inpainting Xiang Zhou Yuan Zeng Yi Gong 83 2 0 13 Feb 2023
Stochastic Surprisal: An inferential measurement of Free Energy in Neural Networks Mohit Prabhushankar Ghassan Al-Regib 51 3 0 11 Feb 2023
Learning to Simulate Daily Activities via Modeling Dynamic Human Needs Yuan Yuan Huandong Wang Jingtao Ding Depeng Jin Yong Li AI4TS AI4CE 56 31 0 09 Feb 2023
Combining Variational Autoencoders and Physical Bias for Improved Microscopy Data Analysis Arpan Biswas M. Ziatdinov Sergei V. Kalinin 61 5 0 08 Feb 2023
Futuristic Variations and Analysis in Fundus Images Corresponding to Biological Traits M. Hassan Hao Zhang Ahmed Fateh Ameen Home Wu Zeng Shuyue Ma ... Dongmei Wu Can Zhang You Zhou Awiwu Ain Peiwu Qin MedIm 60 0 0 08 Feb 2023
Prior Density Learning in Variational Bayesian Phylogenetic Parameters Inference Amine M. Remita Golrokh Vitae Abdoulaye Baniré Diallo BDL 75 0 0 06 Feb 2023
This Intestine Does Not Exist: Multiscale Residual Variational Autoencoder for Realistic Wireless Capsule Endoscopy Image Generation Dimitrios E. Diamantis Panagiota Gatoula Anastasios Koulaouzidis D. Iakovidis MedIm 91 6 0 04 Feb 2023
Deep networks for system identification: a Survey G. Pillonetto Aleksandr Aravkin Daniel Gedon L. Ljung Antônio H. Ribeiro Thomas B. Schon OOD 105 45 0 30 Jan 2023
Predicting Visit Cost of Obstructive Sleep Apnea using Electronic Healthcare Records with Transformer Zhaoyang Chen Lina Siltala-Li Mikko Lassila Pekka Malo Eeva Vilkkumaa T. Saaresranta A. Virkki 69 5 0 28 Jan 2023
$FInC Flow: Fast and Invertible $k \times k$ Convolutions for Normalizing Flows$ FInC Flow: Fast and Invertible $k \times k$ Convolutions for Normalizing Flows Aditya Kallappa Sandeep Nagar Girish Varma 73 2 0 23 Jan 2023
Towards Flexibility and Interpretability of Gaussian Process State-Space Model Zhidi Lin Feng Yin Juan Maroñas 117 7 0 21 Jan 2023
DiME: Maximizing Mutual Information by a Difference of Matrix-Based Entropies Oscar Skean J. Hoyos-Osorio A. Brockmeier L. S. Giraldo 80 13 0 19 Jan 2023
Targeted Image Reconstruction by Sampling Pre-trained Diffusion Model Jiageng Zheng DiffM 59 2 0 18 Jan 2023
Intrinsic Gaussian Process on Unknown Manifolds with Probabilistic Metrics Mu Niu Zhenwen Dai P. Cheung Yizhu Wang 74 5 0 16 Jan 2023
Pixelated Reconstruction of Foreground Density and Background Surface Brightness in Gravitational Lensing Systems using Recurrent Inference Machines Alexandre Adam Laurence Perreault Levasseur Y. Hezaveh Max Welling 70 7 0 10 Jan 2023
Manifold Restricted Interventional Shapley Values Muhammad Faaiz Taufiq Patrick Blobaum Lenon Minorics FAtt 159 8 0 10 Jan 2023
Multiscale Metamorphic VAE for 3D Brain MRI Synthesis J. Kapoor Jakob H. Macke Christian F. Baumgartner MedIm 50 8 0 09 Jan 2023
Isotonic Recalibration under a Low Signal-to-Noise Ratio M. Wüthrich Johanna Fasciati-Ziegel 39 13 0 06 Jan 2023
A Tutorial on Parametric Variational Inference Jens Sjölund BDL 70 6 0 03 Jan 2023