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An Introduction to Variational Autoencoders

6 June 2019

Papers citing "An Introduction to Variational Autoencoders"

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Title
aMUSEd: An Open MUSE Reproduction Suraj Patil William Berman Robin Rombach Patrick von Platen VLM 72 20 0 03 Jan 2024
WildGEN: Long-horizon Trajectory Generation for Wildlife Ali Al-Lawati Elsayed M. Eshra Prasenjit Mitra 27 2 0 30 Dec 2023
Density estimation using the perceptron P. R. Gerber Tianze Jiang Yury Polyanskiy Rui Sun 84 0 0 29 Dec 2023
Hybrid quantum cycle generative adversarial network for small molecule generation Matvei Anoshin Asel Sagingalieva Christopher Mansell Vishal Shete M. Pflitsch Alexey A. Melnikov BDL GAN 79 8 0 28 Dec 2023
PULASki: Learning inter-rater variability using statistical distances to improve probabilistic segmentation S. Chatterjee Franziska Gaidzik Alessandro Sciarra Hendrik Mattern G. Janiga Oliver Speck Andreas Nürnberger S. Pathiraja 78 0 0 25 Dec 2023
HeadCraft: Modeling High-Detail Shape Variations for Animated 3DMMs Artem Sevastopolsky Philip-William Grassal Simon Giebenhain ShahRukh Athar Luisa Verdoliva Matthias Niessner 3DH 239 4 0 21 Dec 2023
Real-Time Diagnostic Integrity Meets Efficiency: A Novel Platform-Agnostic Architecture for Physiological Signal Compression Neel Vora Amir Hajighasemi Cody T. Reynolds Amir Radmehr Mohamed Mohamed ... Helen H Shang Jay Harvey Kan Ding Phuc Nguyen Jacob M. Luber 64 1 0 19 Dec 2023
Bayesian ECG reconstruction using denoising diffusion generative models Gabriel Victorino Cardoso Lisa Bedin J. Duchâteau Rémi Dubois Eric Moulines DiffM 74 1 0 18 Dec 2023
Deep Generative Models for Detector Signature Simulation: A Taxonomic Review Baran Hashemi Claudius Krause 70 16 0 15 Dec 2023
Distributional Latent Variable Models with an Application in Active Cognitive Testing Robert Kasumba D. Marticorena A. Pahor Geetha B. Ramani I. Goffney Susanne M. Jaeggi Aaron R Seitz Jacob R Gardner Dennis L Barbour 6 1 0 14 Dec 2023
Task-Agnostic Privacy-Preserving Representation Learning for Federated Learning Against Attribute Inference Attacks Caridad Arroyo Arevalo Sayedeh Leila Noorbakhsh Yun Dong Yuan Hong Binghui Wang 98 16 0 12 Dec 2023
Disentangled Latent Representation Learning for Tackling the Confounding M-Bias Problem in Causal Inference Debo Cheng Yang Xie Ziqi Xu Jiuyong Li Lin Liu Jixue Liu Yinghao Zhang Zaiwen Feng CML BDL 64 1 0 08 Dec 2023
Visual Hindsight Self-Imitation Learning for Interactive Navigation Kibeom Kim Kisung Shin Min Whoo Lee Moonhoen Lee Minsu Lee Byoung-Tak Zhang 92 2 0 05 Dec 2023
UniGS: Unified Representation for Image Generation and Segmentation Lu Qi Lehan Yang Weidong Guo Yu-Syuan Xu Bo Du Varun Jampani Ming-Hsuan Yang 94 19 0 04 Dec 2023
Neural Network Characterization and Entropy Regulated Data Balancing through Principal Component Analysis David Yevick Karolina Hutchison 41 1 0 03 Dec 2023
Investigating a domain adaptation approach for integrating different measurement instruments in a longitudinal clinical registry Maren Hackenberg Michelle Pfaffenlehner Max Behrens Astrid Pechmann Janbernd Kirschner Harald Binder 55 0 0 01 Dec 2023
HiPA: Enabling One-Step Text-to-Image Diffusion Models via High-Frequency-Promoting Adaptation Yifan Zhang Bryan Hooi VLM 76 10 0 30 Nov 2023
On the Impact of Sampling on Deep Sequential State Estimation Helena Calatrava R. Borsoi Tales Imbiriba Pau Closas BDL 30 0 0 28 Nov 2023
A statistical approach to latent dynamic modeling with differential equations Maren Hackenberg Astrid Pechmann Clemens Kreutz Janbernd Kirschner Harald Binder 67 1 0 27 Nov 2023
Touring sampling with pushforward maps Vivien A. Cabannes Charles Arnal 56 0 0 23 Nov 2023
Robot at the Mirror: Learning to Imitate via Associating Self-supervised Models Andrej Lúcny Kristína Malinovská Igor Farkas SSL 31 1 0 22 Nov 2023
Random Linear Projections Loss for Hyperplane-Based Optimization in Neural Networks Shyam Venkatasubramanian Ahmed Aloui Vahid Tarokh 99 0 0 21 Nov 2023
Quantum Inception Score Akira Sone Akira Tanji Naoki Yamamoto 75 2 0 20 Nov 2023
Gaussian Interpolation Flows Yuan Gao Jianxia Huang Yuling Jiao AI4CE 81 3 0 20 Nov 2023
FDDM: Unsupervised Medical Image Translation with a Frequency-Decoupled Diffusion Model Yunxiang Li H. Shao Xiaoxue Qian You Zhang MedIm DiffM 70 4 0 19 Nov 2023
Advancements in Generative AI: A Comprehensive Review of GANs, GPT, Autoencoders, Diffusion Model, and Transformers Staphord Bengesi Hoda El-Sayed Md Kamruzzaman Sarker Yao Houkpati John Irungu T. Oladunni 128 93 0 17 Nov 2023
DIFFNAT: Improving Diffusion Image Quality Using Natural Image Statistics Aniket Roy Maiterya Suin Anshul B. Shah Ketul Shah Jiang-Long Liu Rama Chellappa DiffM 83 4 0 16 Nov 2023
Uncertainty Quantification in Machine Learning for Biosignal Applications -- A Review Ivo Pascal de Jong A. Sburlea Matias Valdenegro-Toro 89 2 0 15 Nov 2023
How to Do Machine Learning with Small Data? -- A Review from an Industrial Perspective I. Kraljevski Yong Chul Ju Dmitrij Ivanov Constanze Tschope M. Wolff AI4CE 70 4 0 13 Nov 2023
PGODE: Towards High-quality System Dynamics Modeling Xiao Luo Yiyang Gu Huiyu Jiang Hang Zhou Jinsheng Huang Wei Ju Zhiping Xiao Ming Zhang Yizhou Sun AI4CE 116 7 0 11 Nov 2023
Scale-MIA: A Scalable Model Inversion Attack against Secure Federated Learning via Latent Space Reconstruction Shanghao Shi Ning Wang Yang Xiao Chaoyu Zhang Yi Shi Y. T. Hou W. Lou 69 8 0 10 Nov 2023
Perceptual Quality Improvement in Videoconferencing using Keyframes-based GAN Lorenzo Agnolucci L. Galteri Marco Bertini A. Bimbo 76 5 0 07 Nov 2023
Multi-Resolution Diffusion for Privacy-Sensitive Recommender Systems Derek Lilienthal Paul Mello Magdalini Eirinaki Stas Tiomkin SyDa DiffM 100 5 0 06 Nov 2023
ViDa: Visualizing DNA hybridization trajectories with biophysics-informed deep graph embeddings Chenwei Zhang Jordan Lovrod Boyan Beronov K. D. Duc Anne Condon 28 0 0 06 Nov 2023
Visualizing DNA reaction trajectories with deep graph embedding approaches Chenwei Zhang K. D. Duc Anne Condon GNN 52 2 0 06 Nov 2023
Towards Practical Non-Adversarial Distribution Matching Ziyu Gong Ben Usman Han Zhao David I. Inouye OOD 59 2 0 30 Oct 2023
Transformation vs Tradition: Artificial General Intelligence (AGI) for Arts and Humanities Zheng Liu Yiwei Li Qian Cao Junwen Chen Tianze Yang ... John Gibbs Khaled Rasheed Ninghao Liu Gengchen Mai Tianming Liu AI4CE 129 10 0 30 Oct 2023
Convergence of flow-based generative models via proximal gradient descent in Wasserstein space Xiuyuan Cheng Jianfeng Lu Yixin Tan Yao Xie 218 19 0 26 Oct 2023
Using Autodiff to Estimate Posterior Moments, Marginals and Samples Sam Bowyer Thomas Heap Laurence Aitchison 73 1 0 26 Oct 2023
Learning an Inventory Control Policy with General Inventory Arrival Dynamics Sohrab Andaz Carson Eisenach Dhruv Madeka Kari Torkkola Randy Jia Dean Phillips Foster Sham Kakade 59 2 0 26 Oct 2023
Convolutional Bidirectional Variational Autoencoder for Image Domain Translation of Dotted Arabic Expiration Ahmed Zidane Ghada Soliman 28 0 0 21 Oct 2023
Uncertainty-aware transfer across tasks using hybrid model-based successor feature reinforcement learning Parvin Malekzadeh Ming Hou Konstantinos N. Plataniotis 92 1 0 16 Oct 2023
BiomedJourney: Counterfactual Biomedical Image Generation by Instruction-Learning from Multimodal Patient Journeys Yu Gu Jianwei Yang Naoto Usuyama Chun-yue Li Sheng Zhang M. Lungren Jianfeng Gao Hoifung Poon MedIm 111 24 0 16 Oct 2023
Enhancing ML model accuracy for Digital VLSI circuits using diffusion models: A study on synthetic data generation Prasha Srivastava Pawan Kumar Zia Abbas 37 0 0 15 Oct 2023
Variational autoencoder with weighted samples for high-dimensional non-parametric adaptive importance sampling J. Demange-Chryst François Bachoc Jérome Morio Timothé Krauth 66 2 0 13 Oct 2023
A Deep Neural Network -- Mechanistic Hybrid Model to Predict Pharmacokinetics in Rat Florian Führer Andrea Gruber Holger Diedam A. Göller Stephan Menz S. Schneckener 120 3 0 13 Oct 2023
Advancing Pose-Guided Image Synthesis with Progressive Conditional Diffusion Models Fei Shen Hu Ye Jun Zhang Cong Wang Xiao Han Wei Yang DiffM 138 64 0 10 Oct 2023
HyperSINDy: Deep Generative Modeling of Nonlinear Stochastic Governing Equations Mozes Jacobs Bingni W. Brunton Steven L. Brunton J. Nathan Kutz Ryan V. Raut 67 10 0 07 Oct 2023
Diffusion Random Feature Model Esha Saha Giang Tran DiffM 70 0 0 06 Oct 2023
FLAIM: AIM-based Synthetic Data Generation in the Federated Setting Samuel Maddock Graham Cormode Carsten Maple 65 5 0 05 Oct 2023