An Introduction to Variational Autoencoders

6 June 2019

Papers citing "An Introduction to Variational Autoencoders"

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Title
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
Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative Tianxin Wei Yuning You Tianlong Chen Yang Shen Jingrui He Zhangyang Wang 27 45 0 07 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 25 4 0 04 Oct 2022
Lightweight Image Codec via Multi-Grid Multi-Block-Size Vector Quantization (MGBVQ) Yifan Wang Zhanxuan Mei Ioannis Katsavounidis C.-C. Jay Kuo MQ 11 1 0 25 Sep 2022
Approximate sampling and estimation of partition functions using neural networks George T. Cantwell BDL DRL 14 1 0 21 Sep 2022
Efficient Unsupervised Learning for Plankton Images P. D. Alfano Marco Rando Marco Letizia Francesca Odone Lorenzo Rosasco Vito Paolo Pastore 8 7 0 14 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 1,300 0 02 Sep 2022
Deception for Cyber Defence: Challenges and Opportunities David Liebowitz Surya Nepal Kristen Moore Cody James Christopher S. Kanhere David D. Nguyen Roelien C. Timmer Michael Longland Keerth Rathakumar 29 10 0 15 Aug 2022
Interpretable Disentangled Parametrization of Measured BRDF with $β$ -VAE A. Benamira Sachin Shah S. Pattanaik 14 3 0 08 Aug 2022
Neural Nets with a Newton Conjugate Gradient Method on Multiple GPUs Severin Reiz T. Neckel H. Bungartz ODL 16 1 0 03 Aug 2022
A Deep Generative Model for Feasible and Diverse Population Synthesis Eui-Jin Kim P. Bansal 12 14 0 01 Aug 2022
Intention-Conditioned Long-Term Human Egocentric Action Forecasting Esteve Valls Mascaro Hyemin Ahn Dongheui Lee EgoV 19 28 0 25 Jul 2022
Statistical Hypothesis Testing Based on Machine Learning: Large Deviations Analysis P. Braca L. Millefiori A. Aubry S. Maranò A. De Maio P. Willett 27 12 0 22 Jul 2022
Comparing the latent space of generative models Andrea Asperti Valerio Tonelli DRL 19 11 0 14 Jul 2022
Deep Learning Approaches to Grasp Synthesis: A Review Rhys Newbury Morris Gu Lachlan Chumbley Arsalan Mousavian Clemens Eppner ... A. Morales Tamim Asfour Danica Kragic D. Fox Akansel Cosgun 29 162 0 06 Jul 2022
GLANCE: Global to Local Architecture-Neutral Concept-based Explanations Avinash Kori Ben Glocker Francesca Toni 19 6 0 05 Jul 2022
Machine Learning-Driven Process of Alumina Ceramics Laser Machining R. Behbahani H. Sarvestani E. Fatehi Elham Kiyani B. Ashrafi M. Karttunen M. Rahmat AI4CE 11 15 0 13 Jun 2022
Convergence for score-based generative modeling with polynomial complexity Holden Lee Jianfeng Lu Yixin Tan DiffM 18 126 0 13 Jun 2022
Recent Advances for Quantum Neural Networks in Generative Learning Jinkai Tian Xiaoyun Sun Yuxuan Du Shanshan Zhao Qing Liu ... Xingyao Wu Min-hsiu Hsieh Tongliang Liu Wen-Bin Yang Dacheng Tao AI4CE 24 80 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 30 19 0 06 Jun 2022
Top-down inference in an early visual cortex inspired hierarchical Variational Autoencoder F. Csikor B. Meszéna Bence Szabó Gergő Orbán BDL DRL 19 5 0 01 Jun 2022
A novel approach to rating transition modelling via Machine Learning and SDEs on Lie groups Kevin Kamm M. Muniz 17 3 0 31 May 2022
Few-Shot Diffusion Models Giorgio Giannone Didrik Nielsen Ole Winther DiffM 180 49 0 30 May 2022
Semi-supervised Semantics-guided Adversarial Training for Trajectory Prediction Ruochen Jiao Xiangguo Liu Takami Sato Qi Alfred Chen Qi Zhu AAML 28 20 0 27 May 2022
Structured Uncertainty in the Observation Space of Variational Autoencoders James A. G. Langley M. Monteiro Charles Jones Nick Pawlowski Ben Glocker CML OOD BDL DRL 31 2 0 25 May 2022
Variational Autoencoder Leveraged MMSE Channel Estimation Michael Baur B. Fesl M. Koller Wolfgang Utschick 11 19 0 11 May 2022
Data-driven emotional body language generation for social robotics Mina Marmpena Fernando García Angelica Lim Nikolas J. Hemion T. Wennekers 6 2 0 02 May 2022
Fast Sampling of Diffusion Models with Exponential Integrator Qinsheng Zhang Yongxin Chen DiffM 20 414 0 29 Apr 2022
Gaussian mixture modeling of nodes in Bayesian network according to maximal parental cliques Yiran Dong Chuanhou Gao 19 0 0 20 Apr 2022
Artificial Intelligence for Imaging Cherenkov Detectors at the EIC C. Fanelli A. Mahmood 14 2 0 19 Apr 2022
Open-Source Tools for Behavioral Video Analysis: Setup, Methods, and Development Kevin Luxem Jennifer J. Sun S. P. Bradley K. Krishnan Eric A. Yttri Jan Zimmermann Talmo D. Pereira M. Laubach 29 35 0 06 Apr 2022
SIERRA: Ranking Anomalous Activities in Enterprise Networks Jehyun Lee Farren Tang Phyo May Thet Desmond Yeoh Mitch Rybczynski D. Divakaran 17 4 0 31 Mar 2022
Efficient-VDVAE: Less is more Louay Hazami Rayhane Mama Ragavan Thurairatnam BDL 19 28 0 25 Mar 2022
Pixel VQ-VAEs for Improved Pixel Art Representation Akash Saravanan Matthew J. Guzdial 17 8 0 23 Mar 2022
Machine Learning in NextG Networks via Generative Adversarial Networks E. Ayanoglu Kemal Davaslioglu Y. Sagduyu GAN 18 34 0 09 Mar 2022
Diffusion Models for Medical Anomaly Detection J. Wolleb Florentin Bieder Robin Sandkühler Philippe C. Cattin MedIm DiffM 39 261 0 08 Mar 2022
Variational Autoencoder with Disentanglement Priors for Low-Resource Task-Specific Natural Language Generation Zhuang Li Lizhen Qu Qiongkai Xu Tongtong Wu Tianyang Zhan Gholamreza Haffari CoGe UD DRL 34 4 0 27 Feb 2022
Supported Policy Optimization for Offline Reinforcement Learning Jialong Wu Haixu Wu Zihan Qiu Jianmin Wang Mingsheng Long OffRL 27 64 0 13 Feb 2022
Validating Causal Inference Methods Harsh Parikh Carlos Varjao Louise Xu E. T. Tchetgen CML 13 20 0 09 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 I. Tarapov M. Lungren OOD 48 15 0 06 Feb 2022
Tutorial on amortized optimization Brandon Amos OffRL 75 43 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 11 5 0 31 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 18 27 0 17 Jan 2022
Quasi-Taylor Samplers for Diffusion Generative Models based on Ideal Derivatives Hideyuki Tachibana Mocho Go Muneyoshi Inahara Yotaro Katayama Yotaro Watanabe DiffM 16 3 0 26 Dec 2021
Integrating Material Selection with Design Optimization via Neural Networks A. Chandrasekhar S. Sridhara K. Suresh AI4CE 8 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 31 113 0 07 Dec 2021
Collective variable discovery in the age of machine learning: reality, hype and everything in between S. Bhakat AI4CE 28 25 0 06 Dec 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 16 17 0 26 Nov 2021
Towards Cross-Cultural Analysis using Music Information Dynamics Shlomo Dubnov Kevin Huang Cheng-i Wang 12 1 0 24 Nov 2021
Generalized Normalizing Flows via Markov Chains Paul Hagemann J. Hertrich Gabriele Steidl BDL DiffM AI4CE 22 22 0 24 Nov 2021