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An Introduction to Variational Autoencoders

6 June 2019

Papers citing "An Introduction to Variational Autoencoders"

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Title
Soft Convex Quantization: Revisiting Vector Quantization with Convex Optimization Tanmay Gautam Reid Pryzant Ziyi Yang Chenguang Zhu Somayeh Sojoudi MQ 58 4 0 04 Oct 2023
Learning Interpretable Deep Disentangled Neural Networks for Hyperspectral Unmixing R. Borsoi Deniz Erdoğmuş Tales Imbiriba 79 6 0 03 Oct 2023
Conceptual Framework for Autonomous Cognitive Entities David Shapiro Wangfan Li Manuel Delaflor Carlos Toxtli 83 1 0 03 Oct 2023
Self-supervised Learning for Anomaly Detection in Computational Workflows Hongwei Jin Krishnan Raghavan George Papadimitriou Cong Wang A. Mandal Ewa Deelman Prasanna Balaprakash 66 1 0 02 Oct 2023
Segmenting the motion components of a video: A long-term unsupervised model E. Meunier P. Bouthemy 110 0 0 02 Oct 2023
On the Stability of Iterative Retraining of Generative Models on their own Data Quentin Bertrand A. Bose Alexandre Duplessis Marco Jiralerspong Gauthier Gidel 164 51 0 30 Sep 2023
Augmenting LLMs with Knowledge: A survey on hallucination prevention Shaocong Long Lizhuang Ma KELM RALM HILM 61 18 0 28 Sep 2023
Bayesian Cramér-Rao Bound Estimation with Score-Based Models Evan Scope Crafts Xianyang Zhang Ye Zhao 18 2 0 28 Sep 2023
Text-image guided Diffusion Model for generating Deepfake celebrity interactions Yunzhu Chen Nur Al Hasan Haldar Naveed Akhtar Ajmal Mian 52 10 0 26 Sep 2023
AdaMap: High-Scalable Real-Time Cooperative Perception at the Edge Li-Yu Daisy Liu Yongjie Xue Yuru Zhang Dawei Chen Kyungtae Han 49 1 0 24 Sep 2023
How to train your VAE Mariano Rivera DRL 37 1 0 22 Sep 2023
World Modeling for Autonomous Wheel Loaders Kojiro Aoshima Arvid Fälldin E. Wadbro Martin Servin 64 4 0 21 Sep 2023
Generalizing Across Domains in Diabetic Retinopathy via Variational Autoencoders Sharon Chokuwa M. H. Khan 95 5 0 20 Sep 2023
AmbientFlow: Invertible generative models from incomplete, noisy measurements Varun A. Kelkar Rucha Deshpande Arindam Banerjee M. Anastasio DRL MedIm 120 7 0 09 Sep 2023
TCGAN: Convolutional Generative Adversarial Network for Time Series Classification and Clustering F. Huang Yangdong Deng GAN AI4TS 64 1 0 09 Sep 2023
Variations and Relaxations of Normalizing Flows Keegan Kelly Lorena Piedras Sukrit Rao David Samuel Roth BDL 79 1 0 08 Sep 2023
DiffDefense: Defending against Adversarial Attacks via Diffusion Models Hondamunige Prasanna Silva Lorenzo Seidenari A. Bimbo DiffM 59 7 0 07 Sep 2023
Distributed Variational Inference for Online Supervised Learning P. Paritosh Nikolay Atanasov Sonia Martinez 77 1 0 05 Sep 2023
Single-Channel Speech Enhancement with Deep Complex U-Networks and Probabilistic Latent Space Models E. J. Nustede Jörn Anemüller 41 3 0 04 Sep 2023
Towards Efficient Modeling and Inference in Multi-Dimensional Gaussian Process State-Space Models Zhidi Lin Juan Maroñas Ying Li Feng Yin Sergios Theodoridis 93 3 0 03 Sep 2023
Multi-scale, Data-driven and Anatomically Constrained Deep Learning Image Registration for Adult and Fetal Echocardiography M. Hasan Haobo Zhu Guang Yang Choon Hwai Yap 87 1 0 02 Sep 2023
Multi-plane denoising diffusion-based dimensionality expansion for 2D-to-3D reconstruction of microstructures with harmonized sampling Kang-Hyun Lee G. Yun DiffM 75 11 0 27 Aug 2023
Residual Denoising Diffusion Models Jiawei Liu Qiang Wang Huijie Fan Yinong Wang Yandong Tang Liangqiong Qu DiffM 132 44 0 25 Aug 2023
Is Deep Learning Network Necessary for Image Generation? Chenqiu Zhao Guanfang Dong Anup Basu OOD 43 0 0 25 Aug 2023
Quantum-Noise-Driven Generative Diffusion Models Marco Parigi Stefano Martina Filippo Caruso DiffM 101 19 0 23 Aug 2023
Harmonization Across Imaging Locations(HAIL): One-Shot Learning for Brain MRI Abhijeet Parida Zhifan Jiang Syed Muhammad Anwar N. Foreman N. Stence Michael Fisher Roger J. Packer Robert A. Avery M. Linguraru MedIm 28 1 0 21 Aug 2023
Using Autoencoders and AutoDiff to Reconstruct Missing Variables in a Set of Time Series Jan-Philipp Roche Oliver Niggemann J. Friebe 39 2 0 21 Aug 2023
HumanLiff: Layer-wise 3D Human Generation with Diffusion Model Shou-Yong Hu Fangzhou Hong Tao Hu Liang Pan Haiyi Mei Weiye Xiao Lei Yang Ziwei Liu 93 20 0 18 Aug 2023
Hierarchical Uncertainty Estimation for Medical Image Segmentation Networks Xinyu Bai Wenjia Bai UQCV 33 0 0 16 Aug 2023
Monte Carlo guided Diffusion for Bayesian linear inverse problems Gabriel Victorino Cardoso Yazid Janati Sylvain Le Corff Eric Moulines DiffM 101 32 0 15 Aug 2023
A Unified Masked Autoencoder with Patchified Skeletons for Motion Synthesis Esteve Valls Mascaro Hyemin Ahn Dongheui Lee CVBM 75 7 0 14 Aug 2023
Precipitation nowcasting with generative diffusion models Andrea Asperti Fabio Merizzi Alberto Paparella G. Pedrazzi M. Angelinelli Stefano Colamonaco DiffM 81 20 0 13 Aug 2023
Bringing Chemistry to Scale: Loss Weight Adjustment for Multivariate Regression in Deep Learning of Thermochemical Processes Franz M. Rohrhofer S. Posch C. Gößnitzer J. M. García-Oliver Bernhard C. Geiger 60 1 0 03 Aug 2023
VLUCI: Variational Learning of Unobserved Confounders for Counterfactual Inference Yonghe Zhao Q. Huang Siwei Wu Yun Peng Huashan Sun BDL CML 32 0 0 02 Aug 2023
Proactive Resource Request for Disaster Response: A Deep Learning-based Optimization Model Hongzhe Zhang Xiaohang Zhao Xiao Fang Bintong Chen 61 6 0 31 Jul 2023
A Survey on Generative Modeling with Limited Data, Few Shots, and Zero Shot Milad Abdollahzadeh Touba Malekzadeh Christopher T. H. Teo Keshigeyan Chandrasegaran Guimeng Liu Ngai-Man Cheung VLM MedIm 129 24 0 26 Jul 2023
$Comparing Forward and Inverse Design Paradigms: A Case Study on Refractory High-Entropy Alloys$ Comparing Forward and Inverse Design Paradigms: A Case Study on Refractory High-Entropy Alloys Arindam Debnath Lavanya Raman Wenjie Li Adam M Krajewski Marcia Ahn Shuang Lin S. Shang A. Beese Zibai Liu Wesley F. Reinhart AI4CE 36 11 0 25 Jul 2023
$Few-shot $\mathbf{1/a}$ Anomalies Feedback : Damage Vision Mining Opportunity and Embedding Feature Imbalance$ Few-shot $\mathbf{1/a}$ Anomalies Feedback : Damage Vision Mining Opportunity and Embedding Feature Imbalance Takato Yasuno AI4TS 137 0 0 24 Jul 2023
InVAErt networks: a data-driven framework for model synthesis and identifiability analysis Guoxiang Grayson Tong Carlos A. Sing Long Daniele E. Schiavazzi 61 7 0 24 Jul 2023
Attention to Entropic Communication T. Enßlin Carolin Weidinger Philipp Frank 105 1 0 21 Jul 2023
Federated Learning-Empowered AI-Generated Content in Wireless Networks Xumin Huang Peichun Li Hongyang Du Jiawen Kang Dusit Niyato Dong In Kim Yuehua Wu 72 59 0 14 Jul 2023
Robust scalable initialization for Bayesian variational inference with multi-modal Laplace approximations Wyatt Bridgman Reese E. Jones Mohammad Khalil 66 1 0 12 Jul 2023
Transformers in Reinforcement Learning: A Survey Pranav Agarwal A. Rahman P. St-Charles Simon J. D. Prince Samira Ebrahimi Kahou OffRL 108 21 0 12 Jul 2023
Deep Probabilistic Movement Primitives with a Bayesian Aggregator Michael Przystupa Faezeh Haghverd Martin Jägersand Samuele Tosatto 54 6 0 11 Jul 2023
Enhancing Continuous Time Series Modelling with a Latent ODE-LSTM Approach C. Coelho M. F. P. Costa L. L. Ferrás BDL AI4TS 57 15 0 11 Jul 2023
Pathway toward prior knowledge-integrated machine learning in engineering Xia Chen Philipp Geyer AI4CE 61 4 0 10 Jul 2023
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection Ming Jin Huan Yee Koh Qingsong Wen Daniele Zambon Cesare Alippi G. I. Webb Irwin King Shirui Pan AI4TS AI4CE 130 174 0 07 Jul 2023
Human Trajectory Forecasting with Explainable Behavioral Uncertainty Jiangbei Yue Tianyi Zhou He Wang BDL 75 5 0 04 Jul 2023
Transport meets Variational Inference: Controlled Monte Carlo Diffusions Francisco Vargas Shreyas Padhy Denis Blessing Nikolas Nusken DiffM OT 139 8 0 03 Jul 2023
Causal Structure Learning by Using Intersection of Markov Blankets Yiran Dong Chuanhou Gao CML 59 0 0 01 Jul 2023