Search Results - Conditional Variational Autoencoder*

Optimal Dimensionality Reduction using Conditional Variational AutoEncoder

Authors: Boussam, Sana Carbone, Mathieu Gérard, Benoît et al.

Contributors: Boussam, Sana Carbone, Mathieu Gérard, Benoît et al.

Source: Transactions on Cryptographic Hardware and Embedded Systems, Vol 2025, Iss 3 (2025)

Subject Terms: TK7885-7895, Computer engineering. Computer hardware, Deep Learning, Side-Channel Attacks, Variational AutoEncoder, Generative Models, Information technology, [INFO] Computer Science [cs], Optimal Dimensionality Reduction, T58.5-58.64, Optimal Attacks

File Description: application/pdf

Access URL: https://doaj.org/article/95892bfa2003433ea20557dbfd1de1dd
https://hal.science/hal-05148980v1
https://hal.science/hal-05148980v1/document
https://doi.org/10.46586/tches.v2025.i3.164-211

Multi-modal graph convolutional network for vessel trajectory prediction based on cooperative intention enhance using conditional variational autoencoder

Authors: Jiang, Junhao Zuo, Yi Li, Zhiyuan

Source: Reliability Engineering and System Safety. 267

Subject Terms: Graph convolutional network, Trajectory prediction, Cooperative intention constructor, Intelligent situational awareness systems, Conditional variational autoencoder, Multi-modal interaction extractor

Access URL: https://research.chalmers.se/publication/549377

Conditional variational autoencoders for generated hub genes in human endogenous retrovirus and periodontal inflammasome

Authors: Pradeep Kumar Yadalam

Source: Gaceta Médica de Caracas. 133:709-714

Vessel Trajectory Prediction Based on GAN with Kolmogorov-Arnold Network and Conditional Variational Autoencoder

Authors: Yasi Tian Hui Zhang Weimin Huang

Source: 2025 IEEE 20th International Symposium on Antenna Technology and Applied Electromagnetics (ANTEM). :101-104

Enhanced Seismic Ground Motion Modeling With Conditional Variational Autoencoder

Authors: Pavan Mohan Neelamraju Akshay Pratap Singh STG Raghukanth

Source: Earthquake Engineering and Resilience. 4:178-201

Distributional Drift Adaptation With Temporal Conditional Variational Autoencoder for Multivariate Time Series Forecasting

Authors: Hui He Qi Zhang Kun Yi et al.

Source: IEEE Transactions on Neural Networks and Learning Systems. 36:7287-7301

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, I.2.6, 0202 electrical engineering, electronic engineering, information engineering, 68Txx, 02 engineering and technology, 01 natural sciences, 0105 earth and related environmental sciences, Machine Learning (cs.LG)

Access URL: https://pubmed.ncbi.nlm.nih.gov/38683706
http://arxiv.org/abs/2209.00654

Feasibility of Conditional Variational Autoencoders for Phase-Averaged Synthetic Time Series

Authors: Rüb, Matthias Grüber, Jens Schotten, Hans D

Source: European Conference on Cyber Warfare and Security. 24:614-620

Estimation of the coverage area with ResNet-based Conditional Variational Autoencoder

Authors: Uğur Erbaș Adem Avcı Mehmet Barış Tabakcıoğlu

Source: 2025 33rd Signal Processing and Communications Applications Conference (SIU). :1-4

CSSinger: End-to-End Chunkwise Streaming Singing Voice Synthesis System Based on Conditional Variational Autoencoder

Authors: Cui, Jianwei Gu, Yu Chen, Shihao et al.

Source: Proceedings of the AAAI Conference on Artificial Intelligence. 39:23704-23714

Subject Terms: Audio and Speech Processing (eess.AS), FOS: Electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Audio and Speech Processing

Access URL: http://arxiv.org/abs/2412.08918

Individualized Estimation of Baseline Retinal Nerve Fiber Layer Thickness Using Conditional Variational Autoencoder

Authors: Ou Tan, PhD Keke Liu, MD Aiyin Chen, MD et al.

Source: Ophthalmology Science, Vol 5, Iss 6, Pp 100849- (2025)

Subject Terms: Conditional variational autoencoder, Glaucoma, Nerve fiber layer thickness, OCT, Ophthalmology, RE1-994

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2666914525001472; https://doaj.org/toc/2666-9145

Access URL: https://doaj.org/article/2533b76a4100467c80b14765360ef5b5

Generative Design of Thermoset Shape Memory Polymers Driven by Chemical Group: A Conditional Variational Autoencoder Approach

Authors: Borun Das Andrew Peters Guoqiang Li et al.

Source: Journal of Polymer Science. 63:1334-1344

Speech Audio Generation from Dynamic MRI via a Knowledge Enhanced Conditional Variational Autoencoder

Authors: Yaxuan Li Han Jiang Yifei Ma et al.

Source: Lecture Notes in Computer Science ISBN: 9783032049469

STO-CVAE: state transition-oriented conditional variational autoencoder for data augmentation in disability classification

Authors: Seong Jin Bang Min Jung Kang Min-Goo Lee et al.

Source: Complex & Intelligent Systems, Vol 10, Iss 3, Pp 4201-4222 (2024)

Subject Terms: Conditional variational autoencoder, Human pose estimation, Electronic computers. Computer science, 0202 electrical engineering, electronic engineering, information engineering, QA75.5-76.95, Information technology, 02 engineering and technology, Class imbalance problem, Human action recognition, T58.5-58.64

Access URL: https://doaj.org/article/c72756fe6c6b4986a006e7d63158d538

Enhancing Global Surface Soil Moisture Estimation From ESA CCI and SMAP Product With a Conditional Variational Autoencoder

Authors: Changjiang Shi Zhijie Zhang Shengqing Xiong et al.

Source: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 9337-9359 (2024)

Subject Terms: Conditional variational autoencoder (CVAE), SMAP L4, QC801-809, Geophysics. Cosmic physics, 0207 environmental engineering, 02 engineering and technology, 15. Life on land, surface soil moisture (SM), 01 natural sciences, Ocean engineering, product reconstruction, 13. Climate action, ESA climate change initiative (CCI), TC1501-1800, 0105 earth and related environmental sciences

Access URL: https://doaj.org/article/172f29a7106a48fb9baccd27a3d5514e

Anomaly detection in KOMAC high-power systems using transformer-based conditional variational autoencoder

Authors: Gi-Hu Kim Hae-Seong Jeong Han-Sung Kim et al.

Source: Journal of the Korean Physical Society. 87:883-891

Enhancing NER by Harnessing Multiple Datasets with Conditional Variational Autoencoders

Authors: Taku Oi Makoto Miwa

Source: Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). :1107-1117

Automated Anomaly Detection and Risk Stratification in Polymerization Reactor Systems via Multi-Modal Data Fusion and Conditional Variational Autoencoders

Authors: Freederia AI Researcher

Synthetic Data Generation for Enhancing Text Classification Performance Using Conditional Variational Autoencoders

Authors: Ömer Faruk Cebeci Mehmet Fatih Amasyali

Source: Orclever Proceedings of Research and Development. 5:498-514

Accented Text-to-Speech Synthesis with a Conditional Variational Autoencoder

Authors: Melechovsky, Jan Mehrish, Ambuj Sisman, Berrak et al.

Source: TENCON 2024 - 2024 IEEE Region 10 Conference (TENCON). :343-346

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, 03 medical and health sciences, Sound (cs.SD), Audio and Speech Processing (eess.AS), 0202 electrical engineering, electronic engineering, information engineering, FOS: Electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 0305 other medical science, Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing, Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2211.03316

Daily Power Scenario Generation Method for Multiple Wind Farms Based on Gaussian Mixture Clustering and Improved Conditional Variational Autoencoder

Authors: Dan LI Yunyan LIANG Shuwei MIAO et al.

Source: Zhongguo dianli, Vol 57, Iss 12, Pp 17-29 (2024)

Subject Terms: QC501-721, hyperspherical distribution, TK1001-1841, Production of electric energy or power. Powerplants. Central stations, Electricity, feature extraction, wind power scenario generation, conditional variational autoencoder, gaussian mixture model, regularization technique

Access URL: https://doaj.org/article/4465b91aecc5458fbe897fd9f023c8fb