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An Introduction to Variational Autoencoders

6 June 2019

Papers citing "An Introduction to Variational Autoencoders"

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Title
Validating Causal Inference Methods Harsh Parikh Carlos Varjao Louise Xu E. T. Tchetgen CML 87 21 0 09 Feb 2022
Algorithms that get old : the case of generative deep neural networks G. Turinici OOD GAN 16 0 0 07 Feb 2022
CheXstray: Real-time Multi-Modal Data Concordance for Drift Detection in Medical Imaging AI Arjun Soin J. Merkow Jin Long Joseph Paul Cohen Smitha Saligrama Stephen Kaiser Steven Borg Ivan Tarapov M. Lungren OOD 99 17 0 06 Feb 2022
Enhancing variational generation through self-decomposition Andrea Asperti Laura Bugo Daniele Filippini DRL 97 2 0 06 Feb 2022
Robust Vector Quantized-Variational Autoencoder Chieh-Hsin Lai Dongmian Zou Gilad Lerman DRL 119 6 0 04 Feb 2022
Tutorial on amortized optimization Brandon Amos OffRL 177 48 0 01 Feb 2022
A heteroencoder architecture for prediction of failure locations in porous metals using variational inference Wyatt Bridgman Xiaoxuan Zhang G. Teichert M. Khalil K. Garikipati Reese E. Jones UQCV AI4CE 72 5 0 31 Jan 2022
Variational Autoencoder based Metamodeling for Multi-Objective Topology Optimization of Electrical Machines Vivek Parekh D. Flore S. Schöps AI4CE 24 12 0 21 Jan 2022
Simpler is better: spectral regularization and up-sampling techniques for variational autoencoders Sara Bjork Jonas Nordhaug Myhre T. Johansen DRL 77 6 0 19 Jan 2022
Alleviating Cold-start Problem in CTR Prediction with A Variational Embedding Learning Framework Xiaoxiao Xu Chen Yang Qian Yu Zhiwei Fang Jiaxing Wang Chaosheng Fan Yang He Changping Peng Zhangang Lin Jingping Shao CML 49 28 0 17 Jan 2022
Improved Input Reprogramming for GAN Conditioning Tuan Dinh Daewon Seo Zhixu Du Liang Shang Kangwook Lee AI4CE 103 8 0 07 Jan 2022
GenLabel: Mixup Relabeling using Generative Models Jy-yong Sohn Liang Shang Hongxu Chen Jaekyun Moon Dimitris Papailiopoulos Kangwook Lee VLM 93 15 0 07 Jan 2022
An Evaluation Study of Generative Adversarial Networks for Collaborative Filtering F. B. P. Maurera Maurizio Ferrari Dacrema Paolo Cremonesi 103 2 0 05 Jan 2022
Quasi-Taylor Samplers for Diffusion Generative Models based on Ideal Derivatives Hideyuki Tachibana Mocho Go Muneyoshi Inahara Yotaro Katayama Yotaro Watanabe DiffM 78 3 0 26 Dec 2021
Integrating Material Selection with Design Optimization via Neural Networks A. Chandrasekhar S. Sridhara K. Suresh AI4CE 49 6 0 23 Dec 2021
Machine Learning in the Search for New Fundamental Physics G. Karagiorgi Gregor Kasieczka S. Kravitz Benjamin Nachman David Shih AI4CE 90 117 0 07 Dec 2021
Collective variable discovery in the age of machine learning: reality, hype and everything in between S. Bhakat AI4CE 67 26 0 06 Dec 2021
Face Reconstruction with Variational Autoencoder and Face Masks Rafael S. Toledo Eric A. Antonelo CVBM 3DH 22 3 0 03 Dec 2021
Machine learning Hadron Spectral Functions in Lattice QCD Shiyang Chen H. Ding Feiyang Liu G. Papp Chunbin Yang 25 2 0 01 Dec 2021
GALAXY: A Generative Pre-trained Model for Task-Oriented Dialog with Semi-Supervised Learning and Explicit Policy Injection Wanwei He Yinpei Dai Yinhe Zheng Yuchuan Wu Zhen Cao ... Min Yang Feiling Huang Luo Si Jian Sun Yongbin Li VLM 140 159 0 29 Nov 2021
Using Shapley Values and Variational Autoencoders to Explain Predictive Models with Dependent Mixed Features Lars Henry Berge Olsen I. Glad Martin Jullum K. Aas TDI FAtt 109 17 0 26 Nov 2021
Towards Cross-Cultural Analysis using Music Information Dynamics Shlomo Dubnov Kevin Huang Cheng-i Wang 56 1 0 24 Nov 2021
Generalized Normalizing Flows via Markov Chains Paul Hagemann J. Hertrich Gabriele Steidl BDL DiffM AI4CE 103 25 0 24 Nov 2021
Variational encoder geostatistical analysis (VEGAS) with an application to large scale riverine bathymetry M. Forghani Yizhou Qian Jonghyun Lee Matthew W. Farthing T. Hesser P. Kitanidis Eric F. Darve 53 8 0 23 Nov 2021
Deep learning-based fast solver of the shallow water equations M. Forghani Yizhou Qian Jonghyun Lee Matthew W. Farthing T. Hesser P. Kitanidis Eric F. Darve 29 2 0 23 Nov 2021
Bootstrap Your Flow Laurence Illing Midgley Vincent Stimper G. Simm José Miguel Hernández-Lobato 73 5 0 22 Nov 2021
Unsupervised Learning Architecture for Classifying the Transient Noise of Interferometric Gravitational-wave Detectors Yusuke Sakai Y. Itoh P. Jung K. Kokeyama C. Kozakai ... T. Uchiyama G. Ueshima T. Washimi Takahiro Yamamoto T. Yokozawa 66 12 0 19 Nov 2021
CSI Clustering with Variational Autoencoding Michael Baur M. Würth M. Koller V. Andrei Wolfgang Utschick DRL 57 2 0 18 Nov 2021
A Vertical Federated Learning Method For Multi-Institutional Credit Scoring: MICS Yusuf Efe FedML 66 5 0 17 Nov 2021
Exploring Story Generation with Multi-task Objectives in Variational Autoencoders Zhuohan Xie Trevor Cohn Jey Han Lau DRL 52 6 0 15 Nov 2021
Physics-informed neural networks via stochastic Hamiltonian dynamics learning Minh Nguyen Chandrajit Bajaj 40 1 0 15 Nov 2021
ELBD: Efficient score algorithm for feature selection on latent variables of VAE Yiran Dong Chuanhou Gao 25 1 0 15 Nov 2021
Inverting brain grey matter models with likelihood-free inference: a tool for trustable cytoarchitecture measurements Maëliss Jallais Pedro L. C. Rodrigues Alexandre Gramfort Demian Wassermann 124 11 0 15 Nov 2021
Online-compatible Unsupervised Non-resonant Anomaly Detection Vinicius Mikuni Benjamin Nachman David Shih 72 35 0 11 Nov 2021
Entropy optimized semi-supervised decomposed vector-quantized variational autoencoder model based on transfer learning for multiclass text classification and generation Shivani Malhotra Vinay Kumar A. K. Agarwal DRL 29 0 0 10 Nov 2021
DAGSurv: Directed Acyclic Graph Based Survival Analysis Using Deep Neural Networks Anshujit Sharma Rahul Kukreja Ranjitha Prasad Shilpa Rao CML 27 0 0 02 Nov 2021
Multivariate rank via entropic optimal transport: sample efficiency and generative modeling Shoaib Bin Masud Matthew Werenski James M. Murphy Shuchin Aeron OT 59 9 0 29 Oct 2021
Probabilistic Autoencoder using Fisher Information J. Zacherl Philipp Frank T. Ensslin EgoV AI4CE 52 2 0 28 Oct 2021
Machine learning spectral functions in lattice QCD S.-Y. Chen H. Ding Feng Liu G. Papp C.-B. Yang 44 20 0 26 Oct 2021
Discrete Acoustic Space for an Efficient Sampling in Neural Text-To-Speech Mu Li Jonas Rohnke Antonio Bonafonte Mateusz Lajszczak Trevor Wood DRL 92 2 0 24 Oct 2021
Generative Networks for Precision Enthusiasts A. Butter Theo Heimel Sander Hummerich Tobias Krebs Tilman Plehn Armand Rousselot Sophia Vent AI4CE 82 60 0 22 Oct 2021
Conditional Variational Autoencoder for Learned Image Reconstruction Chen Zhang Riccardo Barbano Bangti Jin DRL 51 20 0 22 Oct 2021
MUGL: Large Scale Multi Person Conditional Action Generation with Locomotion Shubh Maheshwari Debtanu Gupta Ravi Kiran Sarvadevabhatla 113 20 0 21 Oct 2021
Generating Multivariate Load States Using a Conditional Variational Autoencoder Chenguang Wang Ensieh Sharifnia Zhi Gao Simon Tindemans Peter Palensky 48 26 0 21 Oct 2021
Deep Generative Models in Engineering Design: A Review Lyle Regenwetter Amin Heyrani Nobari Faez Ahmed 3DV AI4CE 136 192 0 21 Oct 2021
Tackling Dynamics in Federated Incremental Learning with Variational Embedding Rehearsal Tae Jin Park K. Kumatani Dimitrios Dimitriadis 38 18 0 19 Oct 2021
Physics-guided Deep Markov Models for Learning Nonlinear Dynamical Systems with Uncertainty Wei Liu Zhilu Lai Kiran Bacsa Eleni Chatzi PINN BDL AI4CE 67 33 0 16 Oct 2021
Simultaneous Missing Value Imputation and Structure Learning with Groups Pablo Morales-Álvarez Wenbo Gong A. Lamb Simon Woodhead Simon L. Peyton Jones Nick Pawlowski Miltiadis Allamanis Cheng Zhang 140 18 0 15 Oct 2021
Challenges for Unsupervised Anomaly Detection in Particle Physics Katherine Fraser S. Homiller Rashmish K. Mishra B. Ostdiek M. Schwartz DRL 71 45 0 13 Oct 2021
$β$ -Intact-VAE: Identifying and Estimating Causal Effects under Limited Overlap Pengzhou (Abel) Wu Kenji Fukumizu CML 77 15 0 11 Oct 2021