An Introduction to Variational Autoencoders

6 June 2019

Papers citing "An Introduction to Variational Autoencoders"

50 / 199 papers shown

Title
A new computationally efficient algorithm to solve Feature Selection for Functional Data Classification in high-dimensional spaces Tobia Boschi Francesca Bonin Rodrigo Ordonez-Hurtado Alessandra Pascale Jonathan Epperlein 29 4 0 11 Jan 2024
PULASki: Learning inter-rater variability using statistical distances to improve probabilistic segmentation S. Chatterjee Franziska Gaidzik Alessandro Sciarra Hendrik Mattern G. Janiga Oliver Speck Andreas Nürnberger S. Pathiraja 44 0 0 25 Dec 2023
HeadCraft: Modeling High-Detail Shape Variations for Animated 3DMMs Artem Sevastopolsky Philip-William Grassal Simon Giebenhain ShahRukh Athar Luisa Verdoliva Matthias Niessner 3DH 50 4 0 21 Dec 2023
Touring sampling with pushforward maps Vivien A. Cabannes Charles Arnal 26 0 0 23 Nov 2023
Convolutional Bidirectional Variational Autoencoder for Image Domain Translation of Dotted Arabic Expiration Ahmed Zidane Ghada Soliman 6 0 0 21 Oct 2023
Advancing Pose-Guided Image Synthesis with Progressive Conditional Diffusion Models Fei Shen Hu Ye Jun Zhang Cong Wang Xiao Han Wei Yang DiffM 38 56 0 10 Oct 2023
Generalizing Across Domains in Diabetic Retinopathy via Variational Autoencoders Sharon Chokuwa M. H. Khan 23 5 0 20 Sep 2023
Distributed Variational Inference for Online Supervised Learning P. Paritosh Nikolay A. Atanasov Sonia Martinez 27 1 0 05 Sep 2023
Single-Channel Speech Enhancement with Deep Complex U-Networks and Probabilistic Latent Space Models E. J. Nustede Jörn Anemüller 19 3 0 04 Sep 2023
A Unified Masked Autoencoder with Patchified Skeletons for Motion Synthesis Esteve Valls Mascaro Hyemin Ahn Dongheui Lee CVBM 29 4 0 14 Aug 2023
Precipitation nowcasting with generative diffusion models Andrea Asperti Fabio Merizzi Alberto Paparella G. Pedrazzi M. Angelinelli Stefano Colamonaco DiffM 25 18 0 13 Aug 2023
Illumination and Shadows in Head Rotation: experiments with Denoising Diffusion Models Andrea Asperti Gabriele Colasuonno António Guerra DiffM 62 1 0 11 Aug 2023
Bringing Chemistry to Scale: Loss Weight Adjustment for Multivariate Regression in Deep Learning of Thermochemical Processes Franz M. Rohrhofer S. Posch C. Gößnitzer J. M. García-Oliver Bernhard C. Geiger 21 1 0 03 Aug 2023
VLUCI: Variational Learning of Unobserved Confounders for Counterfactual Inference Yonghe Zhao Q. Huang Siwei Wu Yun Peng H. Sun BDL CML 19 0 0 02 Aug 2023
Enhancing Continuous Time Series Modelling with a Latent ODE-LSTM Approach C. Coelho M. F. P. Costa L. L. Ferrás BDL AI4TS 19 13 0 11 Jul 2023
Exploring the Effectiveness of Dataset Synthesis: An application of Apple Detection in Orchards A. V. Meekeren Maya Aghaei K. Dijkstra DiffM 21 1 0 20 Jun 2023
Disaster Anomaly Detector via Deeper FCDDs for Explainable Initial Responses Takato Yasuno Masahiro Okano Junichiro Fujii 14 0 0 05 Jun 2023
A Comprehensive Overview and Comparative Analysis on Deep Learning Models: CNN, RNN, LSTM, GRU Farhad Shiri Thinagaran Perumal N. Mustapha Raihani Mohamed AILaw SyDa ELM AI4TS 35 127 0 27 May 2023
Conditional Generative Modeling for High-dimensional Marked Temporal Point Processes Zheng Dong Zekai Fan Shixiang Zhu DiffM 24 4 0 21 May 2023
A One-Class Classifier for the Detection of GAN Manipulated Multi-Spectral Satellite Images Lydia Abady Giovanna Maria Dimitri Mauro Barni 30 3 0 19 May 2023
TSGM: A Flexible Framework for Generative Modeling of Synthetic Time Series Alexander Nikitin Letizia Iannucci Samuel Kaski TTA SyDa AI4TS 23 10 0 19 May 2023
Massively Parallel Reweighted Wake-Sleep Thomas Heap Gavin Leech Laurence Aitchison BDL 11 2 0 18 May 2023
Explicitly Minimizing the Blur Error of Variational Autoencoders G. Bredell Kyriakos Flouris K. Chaitanya Ertunc Erdil E. Konukoglu 24 22 0 12 Apr 2023
Towards Real-time Text-driven Image Manipulation with Unconditional Diffusion Models Nikita Starodubcev Dmitry Baranchuk Valentin Khrulkov Artem Babenko DiffM 47 4 0 10 Apr 2023
Towards Automated Urban Planning: When Generative and ChatGPT-like AI Meets Urban Planning Dongjie Wang Chang-Tien Lu Yanjie Fu AI4CE 13 25 0 08 Apr 2023
Physics and Chemistry from Parsimonious Representations: Image Analysis via Invariant Variational Autoencoders Mani Valleti Yongtao Liu Sergei V. Kalinin DRL 17 4 0 30 Mar 2023
Deep Nonparametric Estimation of Intrinsic Data Structures by Chart Autoencoders: Generalization Error and Robustness Hao Liu Alex Havrilla Rongjie Lai Wenjing Liao 32 6 0 17 Mar 2023
Towards Zero-trust Security for the Metaverse Ruizhi Cheng Songqing Chen Bo Han 19 28 0 17 Feb 2023
Learning to Simulate Daily Activities via Modeling Dynamic Human Needs Yuan Yuan Huandong Wang Jingtao Ding Depeng Jin Yong Li AI4TS AI4CE 14 30 0 09 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 21 0 0 08 Feb 2023
Prior Density Learning in Variational Bayesian Phylogenetic Parameters Inference Amine M. Remita Golrokh Vitae Abdoulaye Baniré Diallo BDL 16 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 33 5 0 04 Feb 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 25 2 0 23 Jan 2023
Towards Flexibility and Interpretability of Gaussian Process State-Space Model Zhidi Lin Feng Yin Juan Maroñas 21 7 0 21 Jan 2023
Intrinsic Gaussian Process on Unknown Manifolds with Probabilistic Metrics Mu Niu Zhenwen Dai P. Cheung Yizhu Wang 21 5 0 16 Jan 2023
A Tutorial on Parametric Variational Inference Jens Sjölund BDL 22 6 0 03 Jan 2023
DGNet: Distribution Guided Efficient Learning for Oil Spill Image Segmentation Fang Chen H. Balzter Feixiang Zhou Pengxin Ren Huiyu Zhou 17 13 0 19 Dec 2022
Rodin: A Generative Model for Sculpting 3D Digital Avatars Using Diffusion Tengfei Wang Bo Zhang Ting Zhang Shuyang Gu Jianmin Bao ... Jingjing Shen Dong Chen Fang Wen Qifeng Chen B. Guo 35 279 0 12 Dec 2022
Representational dissimilarity metric spaces for stochastic neural networks Lyndon Duong Jingyang Zhou Josue Nassar Jules Berman Jeroen Olieslagers Alex H. Williams 14 19 0 21 Nov 2022
Video Unsupervised Domain Adaptation with Deep Learning: A Comprehensive Survey Yuecong Xu Haozhi Cao Zhenghua Chen Xiaoli Li Lihua Xie Jianfei Yang 24 14 0 17 Nov 2022
Automatic Evaluation of Excavator Operators using Learned Reward Functions Pranav Agarwal M. Teichmann Sheldon Andrews Samira Ebrahimi Kahou OffRL 22 2 0 15 Nov 2022
Deep Causal Learning: Representation, Discovery and Inference Zizhen Deng Xiaolong Zheng Hu Tian D. Zeng CML BDL 28 11 0 07 Nov 2022
DICTION: DynamIC robusT whIte bOx watermarkiNg scheme R. Bellafqira G. Coatrieux 8 5 0 27 Oct 2022
Multi-level Data Representation For Training Deep Helmholtz Machines J. M. Ramos Luis Sa-Couto Andreas Wichert 16 0 0 26 Oct 2022
On the failure of variational score matching for VAE models W. K. Li DRL 8 1 0 24 Oct 2022
Sample Efficient Robot Learning with Structured World Models T. Akbulut Max Merlin Shane Parr Benedict Quartey Skye Thompson 16 0 0 21 Oct 2022
Auto-Encoder Neural Network Incorporating X-Ray Fluorescence Fundamental Parameters with Machine Learning Matthew C. Dirks David Poole 16 4 0 21 Oct 2022
Representation Learning with Diffusion Models Jeremias Traub DiffM 22 8 0 20 Oct 2022
Auto-Encoding Goodness of Fit A. Palmer Zhiyi Chi Derek Aguiar J. Bi 25 1 0 12 Oct 2022
Application of Deep Learning on Single-Cell RNA-sequencing Data Analysis: A Review M. Brendel Chang Su Zilong Bai Hao Zhang O. Elemento Fei-Yue Wang 22 39 0 11 Oct 2022