Tutorial on Variational Autoencoders

19 June 2016

Papers citing "Tutorial on Variational Autoencoders"

50 / 199 papers shown

Title
DiffPattern-Flex: Efficient Layout Pattern Generation via Discrete Diffusion Zixiao Wang Wenqian Zhao Yunheng Shen Yang Bai Guojin Chen Farzan Farnia Bei Yu 30 0 0 07 May 2025
Generative Machine Learning in Adaptive Control of Dynamic Manufacturing Processes: A Review Suk Ki Lee Hyunwoong Ko AI4CE 54 0 0 30 Apr 2025
Addressing Concept Mislabeling in Concept Bottleneck Models Through Preference Optimization Emiliano Penaloza Tianyue H. Zhan Laurent Charlin Mateo Espinosa Zarlenga 51 0 0 25 Apr 2025
CIVIL: Causal and Intuitive Visual Imitation Learning Yinlong Dai Robert Ramirez Sanchez Ryan Jeronimus Shahabedin Sagheb Cara M. Nunez Heramb Nemlekar Dylan P. Losey 74 1 0 24 Apr 2025
NNN: Next-Generation Neural Networks for Marketing Mix Modeling Thomas Mulc Mike Anderson Paul Cubre Huikun Zhang Ivy Liu Saket Kumar 152 0 0 08 Apr 2025
Graph ODEs and Beyond: A Comprehensive Survey on Integrating Differential Equations with Graph Neural Networks Ziqiang Liu Xiaoda Wang Bohan Wang Zijie Huang Carl Yang Wei-dong Jin AI4TS AI4CE 167 1 0 29 Mar 2025
Image Watermarking of Generative Diffusion Models Yunzhuo Chen J. Vice Naveed Akhtar Nur Al Hasan Haldar Ajmal Mian WIGM 52 0 0 12 Feb 2025
Functional Complexity-adaptive Temporal Tensor Decomposition Panqi Chen Lei Cheng Jiajun Li Weichang Li Wei Liu Jiang Bian Shikai Fang CML 77 0 0 10 Feb 2025
AI/ML-Based Automatic Modulation Recognition: Recent Trends and Future Possibilities Elaheh Jafarigol Behnoud Alaghband Azadeh Gilanpour Saeid Hosseinipoor Mirhamed Mirmozafari 67 1 0 07 Feb 2025
$Learning Metal Microstructural Heterogeneity through Spatial Mapping of Diffraction Latent Space Features$ Learning Metal Microstructural Heterogeneity through Spatial Mapping of Diffraction Latent Space Features Mathieu Calvat Chris Bean Dhruv Anjaria Hyoungryul Park Haoren Wang Kenneth Vecchio J.C. Stinville AI4CE 50 1 0 30 Jan 2025
Drivetrain simulation using variational autoencoders Pallavi Sharma Jorge-Humberto Urrea-Quintero Bogdan Bogdan Adrian-Dumitru Ciotec Laura Vasilie Henning Wessels Matteo Skull 181 0 0 29 Jan 2025
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy Chen Wang Kaiyi Ji Junyi Geng Zhongqiang Ren Taimeng Fu ... Yi Du Qihang Li Yuqing Yang Xiao Lin Zhipeng Zhao SSL 89 9 0 28 Jan 2025
FedCLEAN: byzantine defense by CLustering Errors of Activation maps in Non-IID federated learning environments Mehdi Ben Ghali Reda Bellafqira Gouenou Coatrieux AAML FedML 48 0 0 21 Jan 2025
Circuit Complexity Bounds for Visual Autoregressive Model Yekun Ke Xiaoyu Li Yingyu Liang Zhenmei Shi Zhao Song 45 5 0 08 Jan 2025
DiffDesign: Controllable Diffusion with Meta Prior for Efficient Interior Design Generation Yuxuan Yang Wenwen Qiang Tao Geng Jingyao Wang Changwen Zheng DiffM 76 0 0 25 Nov 2024
On Diffusion Models for Multi-Agent Partial Observability: Shared Attractors, Error Bounds, and Composite Flow Tonghan Wang Heng Dong Yanchen Jiang David C. Parkes Milind Tambe DiffM 47 2 0 17 Oct 2024
EDADepth: Enhanced Data Augmentation for Monocular Depth Estimation Nischal Khanal Shivanand Venkanna Sheshappanavar MDE 42 0 0 10 Sep 2024
Diffusion based multi-domain neuroimaging harmonization method with preservation of anatomical details Haoyu Lan Bino A. Varghese Nasim Sheikh-Bahaei Farshid Sepehrband A. Toga Jeiran Choupan DiffM MedIm 29 0 0 01 Sep 2024
The Quest for Early Detection of Retinal Disease: 3D CycleGAN-based Translation of Optical Coherence Tomography into Confocal Microscopy Xin Tian Nantheera Anantrasirichai Lindsay B. Nicholson A. Achim 27 1 0 07 Aug 2024
Image Clustering Algorithm Based on Self-Supervised Pretrained Models and Latent Feature Distribution Optimization Qiuyu Zhu Liheng Hu Sijin Wang SSL VLM 34 1 0 04 Aug 2024
State-observation augmented diffusion model for nonlinear assimilation with unknown dynamics Zhuoyuan Li Bin Dong Linyue Chu 36 0 0 31 Jul 2024
Deep Inverse Design for High-Level Synthesis Ping Chang Tosiron Adegbija Yuchao Liao Claudio Talarico Ao Li Janet Roveda 32 0 0 11 Jul 2024
Coding for Intelligence from the Perspective of Category Wenhan Yang Zixuan Hu Lilang Lin Jiaying Liu Ling-Yu Duan AI4CE 51 1 0 01 Jul 2024
Uncertainty-enabled machine learning for emulation of regional sea-level change caused by the Antarctic Ice Sheet Myungsoo Yoo Giri Gopalan Matthew J. Hoffman Sophie Coulson Holly Kyeore Han C. Wikle Trevor Hillebrand AI4Cl 26 2 0 21 Jun 2024
Deep-learning-assisted reconfigurable metasurface antenna for real-time holographic beam steering Hyunjun Ma Jin-Soo Kim J. Choe Q. Park LLMSV 30 6 0 19 Jun 2024
A Survey of Transformer Enabled Time Series Synthesis Alexander Sommers Logan Cummins Sudip Mittal Shahram Rahimi Maria Seale Joseph Jaboure Thomas Arnold AI4TS 43 2 0 04 Jun 2024
VADA: a Data-Driven Simulator for Nanopore Sequencing Jonas Niederle Simon Koop Marc Pagès-Gallego Vlado Menkovski 17 0 0 12 Apr 2024
From Discrete to Continuous: Deep Fair Clustering With Transferable Representations Xiang Zhang 32 0 0 24 Mar 2024
Automated Contrastive Learning Strategy Search for Time Series Baoyu Jing Yansen Wang Guoxin Sui Jing Hong Jingrui He Yuqing Yang Dongsheng Li Kan Ren AI4TS 32 6 0 19 Mar 2024
A Primer on Temporal Graph Learning Aniq Ur Rahman J. Coon AI4CE 42 1 0 08 Jan 2024
Defense Against Adversarial Attacks using Convolutional Auto-Encoders Shreyasi Mandal AAML 23 1 0 06 Dec 2023
Wafer Map Defect Patterns Semi-Supervised Classification Using Latent Vector Representation Qiyu Wei Wei Zhao Xiaoyan Zheng Zeng Zeng 29 6 0 06 Oct 2023
EquiDiff: A Conditional Equivariant Diffusion Model For Trajectory Prediction Kehua Chen Xianda Chen Zihan Yu Meixin Zhu Hai Yang DiffM 48 18 0 12 Aug 2023
VLUCI: Variational Learning of Unobserved Confounders for Counterfactual Inference Yonghe Zhao Q. Huang Siwei Wu Yun Peng H. Sun BDL CML 19 0 0 02 Aug 2023
A brief review of contrastive learning applied to astrophysics M. Huertas-Company R. Sarmiento J. Knapen 32 9 0 08 Jun 2023
Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders Dingsu Wang Yuchen Yan Ruizhong Qiu Yada Zhu Kaiyu Guan A. Margenot Hanghang Tong AI4TS 43 27 0 29 May 2023
How good are variational autoencoders at transfer learning? Lisa Bonheme M. Grzes OOD DRL 23 2 0 21 Apr 2023
Reconstruction-driven Dynamic Refinement based Unsupervised Domain Adaptation for Joint Optic Disc and Cup Segmentation Ziyang Chen Yongsheng Pan Yong-quan Xia MedIm 20 11 0 10 Apr 2023
Training Invertible Neural Networks as Autoencoders The-Gia Leo Nguyen Lynton Ardizzone Ullrich Kothe BDL DRL SSL 30 9 0 20 Mar 2023
DA-VEGAN: Differentiably Augmenting VAE-GAN for microstructure reconstruction from extremely small data sets Yichi Zhang P. Seibert Alexandra Otto Alexander Raßloff M. Ambati M. Kastner SyDa 29 21 0 17 Feb 2023
Audio2Gestures: Generating Diverse Gestures from Audio Jing Li Di Kang Wenjie Pei Xuefei Zhe Ying Zhang Linchao Bao Zhenyu He DiffM SLR 32 8 0 17 Jan 2023
Reliable Measures of Spread in High Dimensional Latent Spaces Anna C. Marbut Katy McKinney-Bock Travis J. Wheeler 30 2 0 15 Dec 2022
Representation Learning for Continuous Action Spaces is Beneficial for Efficient Policy Learning Tingting Zhao Ying Wang Weidong Sun Yarui Chen Gang Niu Masashi Sugiyama 19 1 0 23 Nov 2022
SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation Wenxuan Zhang Xiaodong Cun Xuan Wang Yong Zhang Xiaodong Shen Yu-Xiao Guo Ying Shan Fei Wang VGen 35 233 0 22 Nov 2022
DiffBP: Generative Diffusion of 3D Molecules for Target Protein Binding Haitao Lin Yufei Huang Odin Zhang Siqi Ma Meng Liu X. Li Lirong Wu Shuiwang Ji Tingjun Hou Stan Z. Li DiffM 26 60 0 21 Nov 2022
CR-LSO: Convex Neural Architecture Optimization in the Latent Space of Graph Variational Autoencoder with Input Convex Neural Networks Xuan Rao Bo Zhao Xiaosong Yi 74 4 0 11 Nov 2022
Extending Temporal Data Augmentation for Video Action Recognition Artjoms Gorpincenko Michal Mackiewicz ViT 29 4 0 09 Nov 2022
Deep Causal Learning: Representation, Discovery and Inference Zizhen Deng Xiaolong Zheng Hu Tian D. Zeng CML BDL 36 11 0 07 Nov 2022
Efficient Hair Style Transfer with Generative Adversarial Networks Muhammed Pektas Baris Gecer Aybars Uğur 3DH 24 1 0 22 Oct 2022
Solving Reasoning Tasks with a Slot Transformer Ryan Faulkner Daniel Zoran LRM 26 1 0 20 Oct 2022