Tutorial on Variational Autoencoders

19 June 2016

Papers citing "Tutorial on Variational Autoencoders"

50 / 210 papers shown

Title
Solving Reasoning Tasks with a Slot Transformer Ryan Faulkner Daniel Zoran LRM 26 1 0 20 Oct 2022
Autoencoded sparse Bayesian in-IRT factorization, calibration, and amortized inference for the Work Disability Functional Assessment Battery Joshua C. Chang Carson C. Chow Julia Porcino 47 1 0 20 Oct 2022
Auto-Encoding Goodness of Fit A. Palmer Zhiyi Chi Derek Aguiar J. Bi 46 1 0 12 Oct 2022
Self-supervised similarity models based on well-logging data S. Egorov Narek Gevorgyan Alexey Zaytsev SSL 35 5 0 26 Sep 2022
Generative Graphical Inverse Kinematics Oliver Limoyo Filip Marić Matthew Giamou Petra Alexson Ivan Petrović Jonathan Kelly 45 1 0 19 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Bin Cui Ming-Hsuan Yang DiffM MedIm 224 1,311 0 02 Sep 2022
Tackling Multimodal Device Distributions in Inverse Photonic Design using Invertible Neural Networks Michel Frising J. Bravo-Abad F. Prins 27 2 0 29 Aug 2022
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey Yanbei Chen Massimiliano Mancini Xiatian Zhu Zeynep Akata 45 113 0 24 Aug 2022
Auto-regressive Image Synthesis with Integrated Quantization Fangneng Zhan Yingchen Yu Rongliang Wu Jiahui Zhang Kai Cui Changgong Zhang Shijian Lu 38 10 0 21 Jul 2022
Text to Image Synthesis using Stacked Conditional Variational Autoencoders and Conditional Generative Adversarial Networks Haileleol Tibebu Aadin Malik V. D. Silva GAN 20 7 0 06 Jul 2022
Multi-Modal and Multi-Factor Branching Time Active Inference Théophile Champion Marek Grze's Howard L. Bowman 26 2 0 24 Jun 2022
Towards Understanding and Mitigating Audio Adversarial Examples for Speaker Recognition Guangke Chen Zhe Zhao Fu Song Sen Chen Lingling Fan Feng Wang Jiashui Wang AAML 25 37 0 07 Jun 2022
Embrace the Gap: VAEs Perform Independent Mechanism Analysis Patrik Reizinger Luigi Gresele Jack Brady Julius von Kügelgen Dominik Zietlow Bernhard Schölkopf Georg Martius Wieland Brendel M. Besserve DRL 35 19 0 06 Jun 2022
How do Variational Autoencoders Learn? Insights from Representational Similarity Lisa Bonheme M. Grzes CoGe SSL DRL 35 10 0 17 May 2022
Physics-aware Reduced-order Modeling of Transonic Flow via $β$ -Variational Autoencoder Yu-Eop Kang Sunwoong Yang K. Yee DRL AI4CE 19 25 0 02 May 2022
Novel Applications for VAE-based Anomaly Detection Systems Luca Bergamin Tommaso Carraro Mirko Polato F. Aiolli DRL 24 6 0 26 Apr 2022
Deep Interactive Motion Prediction and Planning: Playing Games with Motion Prediction Models J. Vázquez Alexander Liniger Wilko Schwarting Daniela Rus Luc Van Gool 27 45 0 05 Apr 2022
Hybrid Predictive Coding: Inferring, Fast and Slow Alexander Tschantz Beren Millidge A. Seth Christopher L. Buckley 27 36 0 05 Apr 2022
Proactive Anomaly Detection for Robot Navigation with Multi-Sensor Fusion Tianchen Ji A. N. Sivakumar Girish Chowdhary Katherine Driggs-Campbell AAML 22 49 0 03 Apr 2022
Diverse Preference Augmentation with Multiple Domains for Cold-start Recommendations Yan Zhang Changyu Li Ivor W. Tsang Hui Xu Lixin Duan Hongzhi Yin Wen Li Jie Shao 29 9 0 01 Apr 2022
Reprogramming FairGANs with Variational Auto-Encoders: A New Transfer Learning Model Beatrice Nobile G. Santin Bruno Lepri P. Brutti SyDa 14 1 0 11 Mar 2022
Data-to-text Generation with Variational Sequential Planning Ratish Puduppully Yao Fu Mirella Lapata 61 21 0 28 Feb 2022
Tutorial on amortized optimization Brandon Amos OffRL 75 43 0 01 Feb 2022
Contextual road lane and symbol generation for autonomous driving Ajay Soni Pratik Padamwar Krishna Reddy Konda GAN 21 5 0 18 Jan 2022
Data Augmentation for Depression Detection Using Skeleton-Based Gait Information Jingjing Yang Hai Lu Chengming Li Xiping Hu Bin Hu CVBM 40 13 0 04 Jan 2022
Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification Junwen Bai Shufeng Kong Carla P. Gomes SSL DRL 35 36 0 02 Dec 2021
Counterfactual Explanations via Latent Space Projection and Interpolation Brian Barr Matthew R. Harrington Samuel Sharpe Capital One BDL 33 10 0 02 Dec 2021
CLMB: deep contrastive learning for robust metagenomic binning Pengfei Zhang Zhengyuan Jiang Yixuan Wang Yu Li 39 11 0 18 Nov 2021
IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization Mingliang Xu Mingbao Lin Gongrui Nan Jianzhuang Liu Baochang Zhang Yonghong Tian Rongrong Ji MQ 46 71 0 17 Nov 2021
LILA: Language-Informed Latent Actions Siddharth Karamcheti Megha Srivastava Percy Liang Dorsa Sadigh LM&Ro 30 31 0 05 Nov 2021
Generating Multivariate Load States Using a Conditional Variational Autoencoder Chenguang Wang Ensieh Sharifnia Zhi Gao Simon Tindemans Peter Palensky 29 22 0 21 Oct 2021
$β$ -Intact-VAE: Identifying and Estimating Causal Effects under Limited Overlap Pengzhou (Abel) Wu Kenji Fukumizu CML 35 14 0 11 Oct 2021
Towards Principled Causal Effect Estimation by Deep Identifiable Models Pengzhou (Abel) Wu Kenji Fukumizu BDL OOD CML 30 3 0 30 Sep 2021
Be More Active! Understanding the Differences between Mean and Sampled Representations of Variational Autoencoders Lisa Bonheme M. Grzes DRL 19 6 0 26 Sep 2021
Neural network based order parameter for phase transitions and its applications in high-entropy alloys Junqi Yin Zongrui Pei M. Gao 31 27 0 12 Sep 2021
Learning from Multiple Noisy Augmented Data Sets for Better Cross-Lingual Spoken Language Understanding Yingmei Guo Linjun Shou J. Pei Ming Gong Mingxing Xu Zhiyong Wu Daxin Jiang 32 5 0 03 Sep 2021
ExamGAN and Twin-ExamGAN for Exam Script Generation Zhengyang Wu Kefeng Deng Judy Qiu Yong Tang 16 1 0 22 Aug 2021
Audio2Gestures: Generating Diverse Gestures from Speech Audio with Conditional Variational Autoencoders Jing Li Di Kang Wenjie Pei Xuefei Zhe Ying Zhang Zhenyu He Linchao Bao SLR 43 101 0 15 Aug 2021
A Framework for Joint Unsupervised Learning of Cluster-Aware Embedding for Heterogeneous Networks R. A. Khan M. Kleinsteuber 27 3 0 09 Aug 2021
Machine learning of Kondo physics using variational autoencoders and symbolic regression Cole Miles Matthew R. Carbone Erica J. Sturm D. Lu A. Weichselbaum K. Barros R. Konik 6 8 0 16 Jul 2021
Automated Label Generation for Time Series Classification with Representation Learning: Reduction of Label Cost for Training S. Bandyopadhyay Anish Datta A. Pal AI4TS 19 2 0 12 Jul 2021
On the Use of Time Series Kernel and Dimensionality Reduction to Identify the Acquisition of Antimicrobial Multidrug Resistance in the Intensive Care Unit Óscar Escudero-Arnanz Joaquín Rodríguez-Álvarez Karl Øyvind Mikalsen Robert Jenssen C. Soguero-Ruíz 16 3 0 07 Jul 2021
Bi-level Feature Alignment for Versatile Image Translation and Manipulation Fangneng Zhan Yingchen Yu Rongliang Wu Jiahui Zhang Kaiwen Cui Aoran Xiao Shijian Lu Ling Shao 39 32 0 07 Jul 2021
Feature Alignment as a Generative Process T. S. Farias Jonas Maziero DiffM BDL 26 1 0 23 Jun 2021
The Imaginative Generative Adversarial Network: Automatic Data Augmentation for Dynamic Skeleton-Based Hand Gesture and Human Action Recognition Junxiao Shen John J. Dudley Per Ola Kristensson SLR GAN 33 23 0 27 May 2021
DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data Damien Dablain Bartosz Krawczyk Nitesh V. Chawla 29 262 0 05 May 2021
Applications of physics-informed scientific machine learning in subsurface science: A survey A. Sun H. Yoon C. Shih Zhi Zhong AI4CE 29 9 0 10 Apr 2021
Protein sequence design with deep generative models Zachary Wu Kadina E. Johnston F. Arnold Kevin Kaichuang Yang 24 134 0 09 Apr 2021
Cloth-Changing Person Re-identification from A Single Image with Gait Prediction and Regularization Xin Jin Tianyu He Kecheng Zheng Zhiheng Yin Xu Shen Zhen Huang Ruoyu Feng Jianqiang Huang Xiansheng Hua Zhibo Chen CVBM 24 125 0 29 Mar 2021
A Self-adaptive SAC-PID Control Approach based on Reinforcement Learning for Mobile Robots Xinyi Yu Yu Fan Siyu Xu L. Ou 32 32 0 19 Mar 2021