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An Introduction to Variational Autoencoders

6 June 2019

Papers citing "An Introduction to Variational Autoencoders"

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Title
Exploring the Potentials and Challenges of Deep Generative Models in Product Design Conception Phillip Mueller Lars Mikelsons AI4CE 120 3 0 15 Jul 2024
Noise Calibration: Plug-and-play Content-Preserving Video Enhancement using Pre-trained Video Diffusion Models Qinyu Yang Haoxin Chen Yong Zhang Menghan Xia Xiaodong Cun Zhixun Su Ying Shan DiffM 77 3 0 14 Jul 2024
InfiniMotion: Mamba Boosts Memory in Transformer for Arbitrary Long Motion Generation Zeyu Zhang Akide Liu Qi Chen Feng Chen Ian Reid Richard Hartley Bohan Zhuang Hao Tang Mamba 72 11 0 14 Jul 2024
TinyGraph: Joint Feature and Node Condensation for Graph Neural Networks Yezi Liu Yanning Shen DD 99 5 0 10 Jul 2024
RodinHD: High-Fidelity 3D Avatar Generation with Diffusion Models Bowen Zhang Yiji Cheng Chunyu Wang Ting Zhang Jiaolong Yang Yansong Tang Feng Zhao Dong Chen Baining Guo DiffM 96 19 0 09 Jul 2024
Entropy-Informed Weighting Channel Normalizing Flow Wei Chen Shian Du Shigui Li Delu Zeng John Paisley 66 0 0 06 Jul 2024
Learning Graph Structures and Uncertainty for Accurate and Calibrated Time-series Forecasting Harshavardhan Kamarthi Lingkai Kong Alexander Rodríguez Chao Zhang B Aditya Prakash AI4TS 79 1 0 02 Jul 2024
Boosting Consistency in Story Visualization with Rich-Contextual Conditional Diffusion Models Fei Shen Hu Ye Sibo Liu Jun Zhang Cong Wang Xiao Han Wei Yang 136 40 0 02 Jul 2024
Joint-Dataset Learning and Cross-Consistent Regularization for Text-to-Motion Retrieval Nicola Messina J. Sedmidubský Fabrizio Falchi Tomáš Rebok 80 0 0 02 Jul 2024
Diffusion Models and Representation Learning: A Survey Michael Fuest Pingchuan Ma Ming Gui Johannes S. Fischer Vincent Tao Hu Bjorn Ommer DiffM 104 24 0 30 Jun 2024
Disentangled Representations for Causal Cognition Filippo Torresan Manuel Baltieri CML 101 2 0 30 Jun 2024
Establishing Deep InfoMax as an effective self-supervised learning methodology in materials informatics Michael Moran Vladimir V. Gusev M. Gaultois Dmytro Antypov M. Rosseinsky AI4CE 70 0 0 30 Jun 2024
ModeConv: A Novel Convolution for Distinguishing Anomalous and Normal Structural Behavior Melanie Schaller Daniel Schlor Andreas Hotho 63 3 0 28 Jun 2024
Subtractive Training for Music Stem Insertion using Latent Diffusion Models Ivan Villa-Renteria Mason L. Wang Zachary Shah Zhe Li Soohyun Kim Neelesh Ramachandran Mert Pilanci 181 0 0 27 Jun 2024
Optimal Transport for Latent Integration with An Application to Heterogeneous Neuronal Activity Data Yubai Yuan Babak Shahbaba Norbert Fortin Keiland W Cooper Qing Nie Annie Qu 44 0 0 27 Jun 2024
Tree-based variational inference for Poisson log-normal models Alexandre Chaussard Anna Bonnet Elisabeth Gassiat Sylvain Le Corff 65 0 0 25 Jun 2024
Sampling Strategies in Bayesian Inversion: A Study of RTO and Langevin Methods Remi Laumont Yiqiu Dong Martin Skovgaard Andersen 59 1 0 24 Jun 2024
Provable Statistical Rates for Consistency Diffusion Models Zehao Dou Minshuo Chen Mengdi Wang Zhuoran Yang DiffM 102 3 0 23 Jun 2024
Stein's Method of Moments on the Sphere Adrian Fischer Robert E. Gaunt Yvik Swan 38 2 0 15 Jun 2024
Neural Concept Binder Wolfgang Stammer Antonia Wüst David Steinmann Kristian Kersting OCL 102 7 0 14 Jun 2024
Sagiri: Low Dynamic Range Image Enhancement with Generative Diffusion Prior Baiang Li Sizhuo Ma Yanhong Zeng Xiaogang Xu Youqing Fang Zhao Zhang Jian Wang Kai Chen DiffM 58 1 0 13 Jun 2024
The Significance of Latent Data Divergence in Predicting System Degradation Miguel Fernandes Catarina Silva Alberto Cardoso Bernardete Ribeiro 33 0 0 13 Jun 2024
FSBI: Deepfakes Detection with Frequency Enhanced Self-Blended Images Ahmed Abul Hasanaath Hamzah Luqman Raed Katib Saeed Anwar 68 4 0 12 Jun 2024
Evolving from Single-modal to Multi-modal Facial Deepfake Detection: Progress and Challenges Ping Liu Qiqi Tao Joey Tianyi Zhou 145 1 0 11 Jun 2024
Improving Deep Learning-based Automatic Cranial Defect Reconstruction by Heavy Data Augmentation: From Image Registration to Latent Diffusion Models Marek Wodzinski K. Kwarciak Mateusz Daniol D. Hemmerling DiffM MedIm 61 6 0 10 Jun 2024
A Comprehensive Evaluation of Generative Models in Calorimeter Shower Simulation Farzana Yasmin Ahmad Vanamala Venkataswamy Geoffrey Fox DiffM 62 6 0 08 Jun 2024
A Survey of Meta-features Used for Automated Selection of Algorithms for Black-box Single-objective Continuous Optimization Gjorgjina Cenikj Ana Nikolikj Gašper Petelin Niki van Stein Carola Doerr T. Eftimov 81 1 0 08 Jun 2024
Efficient Differentially Private Fine-Tuning of Diffusion Models Jing Liu Andrew Lowy T. Koike-Akino K. Parsons Ye Wang 102 0 0 07 Jun 2024
VQUNet: Vector Quantization U-Net for Defending Adversarial Atacks by Regularizing Unwanted Noise Zhixun He Mukesh Singhal 79 1 0 05 Jun 2024
Pancreatic Tumor Segmentation as Anomaly Detection in CT Images Using Denoising Diffusion Models Reza Babaei Samuel Cheng Theresa Thai Shangqing Zhao MedIm DiffM 94 4 0 04 Jun 2024
A Diffusion Model Framework for Unsupervised Neural Combinatorial Optimization Sebastian Sanokowski Sepp Hochreiter Sebastian Lehner 113 23 0 03 Jun 2024
Learning to Play Atari in a World of Tokens Pranav Agarwal Sheldon Andrews Samira Ebrahimi Kahou OffRL 93 2 0 03 Jun 2024
A Survey of Deep Learning Audio Generation Methods Matej Bozic Marko Horvat VLM MedIm 104 2 0 31 May 2024
Navigating Tabular Data Synthesis Research: Understanding User Needs and Tool Capabilities Maria F. Davila Sven Groen Fabian Panse Wolfram Wingerath LMTD 65 2 0 31 May 2024
Intersectional Unfairness Discovery Gezheng Xu Qi Chen Charles Ling Boyu Wang Changjian Shui 73 3 0 31 May 2024
Poisson Variational Autoencoder Hadi Vafaii Dekel Galor Jacob L. Yates DRL 75 2 0 23 May 2024
Alternators For Sequence Modeling Mohammad Reza Rezaei Adji Bousso Dieng 70 2 0 20 May 2024
Diversity-Aware Sign Language Production through a Pose Encoding Variational Autoencoder Mohamed Ilyes Lakhal Richard Bowden 61 0 0 16 May 2024
FuXi-ENS: A machine learning model for medium-range ensemble weather forecasting Xiaohui Zhong Lei Chen Hao Li Jun Liu Xu Fan ... Kan Dai Jing-Jia Luo Jie Wu Yuan Qi Bo Lu AI4Cl 85 12 0 09 May 2024
Geometry-aware framework for deep energy method: an application to structural mechanics with hyperelastic materials Thi Nguyen Khoa Nguyen T. Dairay Raphael Meunier Christophe Millet Mathilde Mougeot AI4CE PINN 79 0 0 06 May 2024
A deep causal inference model for fully-interpretable travel behaviour analysis K. Kamal Bilal Farooq 59 0 0 02 May 2024
A Method of Moments Embedding Constraint and its Application to Semi-Supervised Learning Michael Majurski Sumeet Menon Parniyan Farvardin David Chapman 84 4 0 27 Apr 2024
Variational Bayesian surrogate modelling with application to robust design optimisation Thomas A. Archbold Ieva Kazlauskaite F. Cirak 111 1 0 23 Apr 2024
EncodeNet: A Framework for Boosting DNN Accuracy with Entropy-driven Generalized Converting Autoencoder Hasanul Mahmud Kevin Desai P. Lama Sushil Prasad 85 0 0 21 Apr 2024
ODE-DPS: ODE-based Diffusion Posterior Sampling for Inverse Problems in Partial Differential Equation Enze Jiang Jishen Peng Zheng Ma Xiong-bin Yan 86 0 0 21 Apr 2024
uTRAND: Unsupervised Anomaly Detection in Traffic Trajectories Giacomo DÁmicantonio Egor Bondarau Peter H. N. de With AI4TS 89 0 0 19 Apr 2024
Semantic Communication for Cooperative Multi-Task Processing over Wireless Networks Ahmad Halimi Razlighi C. Bockelmann Armin Dekorsy 79 5 0 12 Apr 2024
An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization Minshuo Chen Song Mei Jianqing Fan Mengdi Wang VLM MedIm DiffM 124 59 0 11 Apr 2024
V-MAD: Video-based Morphing Attack Detection in Operational Scenarios Guido Borghi Annalisa Franco Nicolò Di Domenico Matteo Ferrara Davide Maltoni 50 0 0 10 Apr 2024
Transformers for molecular property prediction: Lessons learned from the past five years Afnan Sultan Jochen Sieg M. Mathea Andrea Volkamer AI4CE 66 12 0 05 Apr 2024