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An Introduction to Variational Autoencoders

6 June 2019

Papers citing "An Introduction to Variational Autoencoders"

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Title
Geometric Autoencoders -- What You See is What You Decode Philipp Nazari Sebastian Damrich Fred Hamprecht 92 13 0 30 Jun 2023
An Integral Projection-based Semantic Autoencoder for Zero-Shot Learning William Heyden Habib Ullah M. Salman Siddiqui Fadi Al Machot VLM 68 4 0 26 Jun 2023
A clustering and graph deep learning-based framework for COVID-19 drug repurposing Chaarvi Bansal Rohitash Chandra Vinti Agarwal P. R. Deepa OOD 53 0 0 24 Jun 2023
On the Convergence Rate of Gaussianization with Random Rotations Felix Dräxler Lars Kühmichel Armand Rousselot Jens Müller Christoph Schnörr Ullrich Kothe 65 3 0 23 Jun 2023
Exploring the Effectiveness of Dataset Synthesis: An application of Apple Detection in Orchards A. V. Meekeren Maya Aghaei K. Dijkstra DiffM 60 1 0 20 Jun 2023
Identifiable causal inference with noisy treatment and no side information Antti Pöllänen Pekka Marttinen CML 31 2 0 18 Jun 2023
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects Kexin Zhang Qingsong Wen Chaoli Zhang Rongyao Cai Ming Jin ... James Y. Zhang Yuxuan Liang Guansong Pang Dongjin Song Shirui Pan AI4TS 229 117 0 16 Jun 2023
Fusing Structural and Functional Connectivities using Disentangled VAE for Detecting MCI Qiankun Zuo Yanfei Zhu Libin Lu Zhi Yang Yuhui Li Ning Zhang 89 2 0 16 Jun 2023
Deep learning based Meta-modeling for Multi-objective Technology Optimization of Electrical Machines Vivek Parekh D. Flore S. Schöps 13 5 0 15 Jun 2023
Tree Variational Autoencoders Laura Manduchi Moritz Vandenhirtz Alain Ryser Julia E. Vogt BDL DRL 86 10 0 15 Jun 2023
Unbiased Learning of Deep Generative Models with Structured Discrete Representations H. Bendekgey Gabriel Hope Erik B. Sudderth OCL BDL DRL 58 1 0 14 Jun 2023
A Simple Unified Uncertainty-Guided Framework for Offline-to-Online Reinforcement Learning Siyuan Guo Yanchao Sun Jifeng Hu Sili Huang Hechang Chen Haiyin Piao Lichao Sun Yi-Ju Chang OffRL OnRL 83 7 0 13 Jun 2023
Latent Dynamical Implicit Diffusion Processes Mohammadreza Rezaei DiffM 113 1 0 12 Jun 2023
Image Vectorization: a Review Maria Dziuba Ivan Jarsky Valeria Efimova Andrey Filchenkov 3DV DiffM 64 10 0 10 Jun 2023
The Age of Synthetic Realities: Challenges and Opportunities J. P. Cardenuto Jing Yang Rafael Padilha Renjie Wan Daniel Moreira Haoliang Li Shiqi Wang Fernanda A. Andaló Sébastien Marcel Anderson de Rezende Rocha DeLMO 115 30 0 09 Jun 2023
Boosting Fast and High-Quality Speech Synthesis with Linear Diffusion Hao Liu Tao Wang Jie Cao Ran He J. Tao DiffM 74 4 0 09 Jun 2023
Disaster Anomaly Detector via Deeper FCDDs for Explainable Initial Responses Takato Yasuno Masahiro Okano Junichiro Fujii 53 0 0 05 Jun 2023
Independent Modular Networks H. Damirchi Forest Agostinelli Pooyan Jamshidi 41 0 0 02 Jun 2023
StyleGAN knows Normal, Depth, Albedo, and More Anand Bhattad Daniel McKee Derek Hoiem David A. Forsyth GAN 67 36 0 01 Jun 2023
Adversarial Robustness in Unsupervised Machine Learning: A Systematic Review Mathias Lundteigen Mohus Jinyue Li AAML 87 1 0 01 Jun 2023
Challenges and Remedies to Privacy and Security in AIGC: Exploring the Potential of Privacy Computing, Blockchain, and Beyond Chuan Chen Zhenpeng Wu Yan-Hao Lai Wen-chao Ou Tianchi Liao Zibin Zheng 136 36 0 01 Jun 2023
Efficient Training of Energy-Based Models Using Jarzynski Equality D. Carbone Mengjian Hua Simon Coste Eric Vanden-Eijnden 58 7 0 30 May 2023
Conceptual Design Generation Using Large Language Models Kevin Ma Daniele Grandi Christopher McComb K. Goucher-Lambert 116 24 0 30 May 2023
One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models Ba-Hien Tran Giulio Franzese Pietro Michiardi Maurizio Filippone DiffM 128 4 0 30 May 2023
RAPHAEL: Text-to-Image Generation via Large Mixture of Diffusion Paths Zeyue Xue Guanglu Song Qiushan Guo Boxiao Liu Zhuofan Zong Yu Liu Ping Luo DiffM 173 137 0 29 May 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 133 156 0 27 May 2023
Counterfactual Generative Models for Time-Varying Treatments Shenghao Wu Wen-liang Zhou Minshuo Chen Shixiang Zhu DiffM CML 107 8 0 25 May 2023
KARNet: Kalman Filter Augmented Recurrent Neural Network for Learning World Models in Autonomous Driving Tasks Hemanth Manjunatha A. Pak Dimitar Filev Panagiotis Tsiotras 77 5 0 24 May 2023
Conditional Generative Modeling for High-dimensional Marked Temporal Point Processes Zheng Dong Zekai Fan Shixiang Zhu DiffM 115 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 72 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 110 14 0 19 May 2023
Massively Parallel Reweighted Wake-Sleep Thomas Heap Gavin Leech Laurence Aitchison BDL 64 2 0 18 May 2023
Score Operator Newton transport N. Chandramoorthy F. Schaefer Youssef Marzouk OT 83 1 0 16 May 2023
Conditional variational autoencoder with Gaussian process regression recognition for parametric models Xuehan Zhang Lijian Jiang BDL DRL 21 9 0 16 May 2023
A Comparative Study of Methods for Estimating Conditional Shapley Values and When to Use Them Lars Henry Berge Olsen I. Glad Martin Jullum K. Aas FAtt 90 12 0 16 May 2023
ELSA -- Enhanced latent spaces for improved collider simulations Benjamin Nachman R. Winterhalder 67 14 0 12 May 2023
Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy T. Shaik Xiaohui Tao Haoran Xie Lin Li Xiaofeng Zhu Qingyuan Li MU 148 30 0 10 May 2023
Multi-object Video Generation from Single Frame Layouts Yang Wu Zhi-Bin Liu Hefeng Wu Liang Lin 140 3 0 06 May 2023
Unpaired Downscaling of Fluid Flows with Diffusion Bridges Tobias Bischoff Katherine Deck 93 14 0 02 May 2023
A novel algorithm can generate data to train machine learning models in conditions of extreme scarcity of real world data O. Niel SyDa 16 1 0 01 May 2023
Towards AI-Architecture Liberty: A Comprehensive Survey on Design and Generation of Virtual Architecture by Deep Learning Anqi Wang Jiahua Dong Lik-Hang Lee Jiachuan Shen Pan Hui 3DV AI4CE 97 1 0 30 Apr 2023
Effect of latent space distribution on the segmentation of images with multiple annotations Ishaan Bhat J. Pluim M. Viergever Hugo J. Kuijf 41 6 0 26 Apr 2023
Separability, Contextuality, and the Quantum Frame Problem C. Fields J. Glazebrook 16 6 0 19 Apr 2023
To Compress or Not to Compress- Self-Supervised Learning and Information Theory: A Review Ravid Shwartz-Ziv Yann LeCun SSL 127 75 0 19 Apr 2023
Goal-oriented Uncertainty Quantification for Inverse Problems via Variational Encoder-Decoder Networks B. Afkham Julianne Chung Matthias Chung 64 1 0 17 Apr 2023
The Deep Latent Position Topic Model for Clustering and Representation of Networks with Textual Edges Rémi Boutin Pierre Latouche C. Bouveyron 33 2 0 14 Apr 2023
AutoSplice: A Text-prompt Manipulated Image Dataset for Media Forensics Shan Jia Mingzhen Huang Zhou Zhou Yan Ju Jialing Cai Siwei Lyu DiffM 102 32 0 14 Apr 2023
Sample Average Approximation for Black-Box VI Javier Burroni Justin Domke Daniel Sheldon 69 4 0 13 Apr 2023
Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions Luyang Luo Xi Wang Yi Lin Xiaoqi Ma Andong Tan R. Chan V. Vardhanabhuti W. C. Chu Kwang-Ting Cheng Hao Chen 108 60 0 13 Apr 2023
DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-Efficient Fine-Tuning Enze Xie Lewei Yao Han Shi Zhili Liu Daquan Zhou Zhaoqiang Liu Jiawei Li Zhenguo Li 74 81 0 13 Apr 2023