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An Introduction to Variational Autoencoders

6 June 2019

Papers citing "An Introduction to Variational Autoencoders"

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Title
Image Embedding for Denoising Generative Models Andrea Asperti David Evangelista Samuele Marro Fabio Merizzi DiffM 70 10 0 30 Dec 2022
Normalizing flow neural networks by JKO scheme Chen Xu Xiuyuan Cheng Yao Xie 109 30 0 29 Dec 2022
DGNet: Distribution Guided Efficient Learning for Oil Spill Image Segmentation Fang Chen H. Balzter Feixiang Zhou Pengxin Ren Huiyu Zhou 42 14 0 19 Dec 2022
Latent Variable Representation for Reinforcement Learning Zhaolin Ren Chenjun Xiao Tianjun Zhang Na Li Zhaoran Wang Sujay Sanghavi Dale Schuurmans Bo Dai OffRL 104 10 0 17 Dec 2022
Output-Dependent Gaussian Process State-Space Model Zhidi Lin Lei Cheng Feng Yin Le Xu Shuguang Cui UQCV 87 5 0 15 Dec 2022
A Machine Learning Enhanced Approach for Automated Sunquake Detection in Acoustic Emission Maps Vanessa Mercea A. Paraschiv D. Lacatus A. Marginean D. Besliu-Ionescu 114 5 0 13 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 138 288 0 12 Dec 2022
A probabilistic autoencoder for causal discovery M. Feiler CML 20 0 0 08 Dec 2022
Testing Human Ability To Detect Deepfake Images of Human Faces Sergi D. Bray Shane D. Johnson Bennett Kleinberg CVBM 107 48 0 07 Dec 2022
Towards a Taxonomy for the Use of Synthetic Data in Advanced Analytics Peter Kowalczyk Giacomo Welsch Frédéric Thiesse 68 2 0 05 Dec 2022
Split Learning without Local Weight Sharing to Enhance Client-side Data Privacy Ngoc Duy Pham Tran Dang Khoa Phan A. Abuadbba Yansong Gao Doan Nguyen Naveen Chilamkurti 65 5 0 01 Dec 2022
Causal Inference with Conditional Instruments using Deep Generative Models Debo Cheng Ziqi Xu Jiuyong Li Lin Liu Jixue Liu T. Le CML 60 11 0 29 Nov 2022
Expanding Small-Scale Datasets with Guided Imagination Yifan Zhang Daquan Zhou Bryan Hooi Kaixin Wang Jiashi Feng 171 48 0 25 Nov 2022
Robustness Analysis of Deep Learning Models for Population Synthesis D. Mensah Godwin Badu-Marfo Bilal Farooq 68 1 0 23 Nov 2022
OLGA : An Ontology and LSTM-based approach for generating Arithmetic Word Problems (AWPs) of transfer type Suresh Kumar P. Sreenivasa Kumar 47 1 0 22 Nov 2022
Representational dissimilarity metric spaces for stochastic neural networks Lyndon Duong Jingyang Zhou Josue Nassar Jules Berman Jeroen Olieslagers Alex H. Williams 79 22 0 21 Nov 2022
Let Offline RL Flow: Training Conservative Agents in the Latent Space of Normalizing Flows D. Akimov Vladislav Kurenkov Alexander Nikulin Denis Tarasov Sergey Kolesnikov OffRL 86 11 0 20 Nov 2022
EDGE: Editable Dance Generation From Music Jo-Han Tseng Rodrigo Castellon Chenxi Liu 111 242 0 19 Nov 2022
Latent User Intent Modeling for Sequential Recommenders B. Chang Alexandros Karatzoglou Yuyan Wang Can Xu Ed H. Chi Minmin Chen OffRL 45 10 0 17 Nov 2022
Video Unsupervised Domain Adaptation with Deep Learning: A Comprehensive Survey Yuecong Xu Haozhi Cao Zhenghua Chen Xiaoli Li Lihua Xie Jianfei Yang 90 15 0 17 Nov 2022
Automatic Evaluation of Excavator Operators using Learned Reward Functions Pranav Agarwal M. Teichmann Sheldon Andrews Samira Ebrahimi Kahou OffRL 90 2 0 15 Nov 2022
Deep Causal Learning: Representation, Discovery and Inference Zizhen Deng Xiaolong Zheng Hu Tian D. Zeng CML BDL 121 11 0 07 Nov 2022
Variational Inference Aided Estimation of Time Varying Channels Benedikt Bock Michael Baur Valentina Rizzello Wolfgang Utschick 43 6 0 31 Oct 2022
Poisson Reweighted Laplacian Uncertainty Sampling for Graph-based Active Learning Kevin Miller Jeff Calder 74 6 0 27 Oct 2022
DICTION:DynamIC robusT whIte bOx watermarkiNg scheme for deep neural networks Reda Bellafqira Gouenou Coatrieux 102 6 0 27 Oct 2022
Multi-level Data Representation For Training Deep Helmholtz Machines J. M. Ramos Luis Sa-Couto Andreas Wichert 59 0 0 26 Oct 2022
On the failure of variational score matching for VAE models W. K. Li DRL 47 2 0 24 Oct 2022
Deep Learning in Single-Cell Analysis Dylan Molho Jiayuan Ding Zhaoheng Li Haifang Wen Wenzhuo Tang ... P. Danaher Robert Yang Y. Lei Yuying Xie Jiliang Tang 108 23 0 22 Oct 2022
Sample Efficient Robot Learning with Structured World Models T. Akbulut Max Merlin Shane Parr Benedict Quartey Skye Thompson 44 0 0 21 Oct 2022
Auto-Encoder Neural Network Incorporating X-Ray Fluorescence Fundamental Parameters with Machine Learning Matthew C. Dirks David Poole 33 5 0 21 Oct 2022
Solving Reasoning Tasks with a Slot Transformer Ryan Faulkner Daniel Zoran LRM 56 1 0 20 Oct 2022
Representation Learning with Diffusion Models Jeremias Traub DiffM 97 8 0 20 Oct 2022
Language Does More Than Describe: On The Lack Of Figurative Speech in Text-To-Image Models Ricardo Kleinlein Cristina Luna Jiménez Fernando Fernández-Martínez DiffM 49 3 0 19 Oct 2022
Amortized Inference for Heterogeneous Reconstruction in Cryo-EM Axel Levy Gordon Wetzstein Julien N. P. Martel Frédéric Poitevin Ellen D. Zhong 78 38 0 13 Oct 2022
Fast Estimation of Bayesian State Space Models Using Amortized Simulation-Based Inference R. Khabibullin S. Seleznev 59 1 0 13 Oct 2022
Microscopy is All You Need Sergei V. Kalinin Rama K Vasudevan Yongtao Liu Ayana Ghosh Kevin M. Roccapriore M. Ziatdinov 76 0 0 12 Oct 2022
LION: Latent Point Diffusion Models for 3D Shape Generation Fangyin Wei Arash Vahdat Francis Williams Zan Gojcic Or Litany Sanja Fidler Karsten Kreis DiffM 189 506 0 12 Oct 2022
Auto-Encoding Goodness of Fit A. Palmer Zhiyi Chi Derek Aguiar J. Bi 119 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 Wang 90 43 0 11 Oct 2022
Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative Tianxin Wei Yuning You Tianlong Chen Yang Shen Jingrui He Zhangyang Wang 72 50 0 07 Oct 2022
A deep learning approach for detection and localization of leaf anomalies David M. Calabro Massimiliano Lupo Pasini Nicola Ferro S. Perotto 39 1 0 07 Oct 2022
Probabilistic partition of unity networks for high-dimensional regression problems Tiffany Fan N. Trask M. DÉlia Eric F. Darve 63 1 0 06 Oct 2022
Movement Analytics: Current Status, Application to Manufacturing, and Future Prospects from an AI Perspective Peter Baumgartner Daniel V. Smith Mashud Rana Reena Kapoor Elena Tartaglia A. Schutt Ashfaqur Rahman John Taylor S. Dunstall 71 4 0 04 Oct 2022
Deep Invertible Approximation of Topologically Rich Maps between Manifolds Michael Puthawala Matti Lassas Ivan Dokmanić Pekka Pankka Maarten V. de Hoop MedIm 70 0 0 02 Oct 2022
Holographic-(V)AE: an end-to-end SO(3)-Equivariant (Variational) Autoencoder in Fourier Space Gian Marco Visani Michael N. Pun Arman Angaji Armita Nourmohammad BDL 50 3 0 30 Sep 2022
Cooperation in the Latent Space: The Benefits of Adding Mixture Components in Variational Autoencoders Oskar Kviman Ricky Molén A. Hotti Semih Kurt Victor Elvira J. Lagergren 73 11 0 30 Sep 2022
Leveraging variational autoencoders for multiple data imputation Breeshey Roskams-Hieter J. Wells S. Wade DRL 54 5 0 30 Sep 2022
Digital and Physical Face Attacks: Reviewing and One Step Further Chen Kong Shiqi Wang Haoliang Li AAML 135 26 0 29 Sep 2022
Automated Urban Planning aware Spatial Hierarchies and Human Instructions Dongjie Wang Kunpeng Liu Yanyong Huang Leilei Sun Bowen Du Yanjie Fu AI4CE 67 3 0 26 Sep 2022
Lightweight Image Codec via Multi-Grid Multi-Block-Size Vector Quantization (MGBVQ) Yifan Wang Zhanxuan Mei Ioannis Katsavounidis C.-C. Jay Kuo MQ 107 1 0 25 Sep 2022