Search Results - (( conditional variational autoencoder ) OR ( conditioning variational autoencoder ))

Conditioning of variational autoencoder by user traits for item recommendation

Authors: Tachioka, Yuuki

Subject Terms: recommendation model, user traits, OCEAN (BigFive) traits, conditional variational autoencoder

Synthetic data generation for the optimization of strains in metabolic engineering using latent space representations derived from a Conditional Variational Autoencoder

Authors: Alwani, Neil (author)

Index Terms: Metabolic Flux Analysis, Variational Autoencoder (VAE), Probabilistic analysis, Principal Component Analysis (PCA), Combinatorial Optimization, bachelor thesis

URL: http://resolver.tudelft.nl/uuid:0f0fbe65-257d-491d-9fe5-5c1b3864dfd4

Learning Manifold Dimensions with Conditional Variational Autoencoders

Authors: Zheng, Yijia He, Tong Qiu, Yixuan et al.

Index Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Statistics - Machine Learning, text

URL: http://arxiv.org/abs/2302.11756

A Variational Autoencoder Approach to Conditional Generation of Possible Future Volatility Surfaces.

Authors: Chen, Jacky Hull, John Poulos, Zissis et al.

Source: Journal of Financial Data Science; Summer2025, Vol. 7 Issue 3, p86-114, 29p

Subject Terms: LONG short-term memory, PROBABILISTIC generative models, LATENT variables, RETROSPECTIVE studies, ECONOMIC forecasting

Health Indicator for Low-Speed Axial Bearings Using Variational Autoencoders

Authors: Martin Hemmer Andreas Klausen Huynh Van Khang et al.

Source: IEEE Access, Vol 8, Pp 35842-35852 (2020)
35842-35852
IEEE Access

Subject Terms: Bearing fault detection, generative models, condition monitoring, VDP::Teknologi: 500::Maskinfag: 570, 0202 electrical engineering, electronic engineering, information engineering, variational autoencoder, conditional variational autoencoder, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, unsupervised learning, TK1-9971

File Description: application/pdf

Access URL: https://ieeexplore.ieee.org/ielx7/6287639/8948470/09001012.pdf
https://doaj.org/article/0991e1280a1a494ca8807df0ebcf2aff
https://dblp.uni-trier.de/db/journals/access/access8.html#HemmerKKRW20
https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202002275770300589
https://norceresearch.brage.unit.no/norceresearch-xmlui/handle/11250/2650394
https://uia.brage.unit.no/uia-xmlui/handle/11250/2726712
https://ieeexplore.ieee.org/document/9001012/
https://doi.org/10.1109/ACCESS.2020.2974942
https://hdl.handle.net/11250/2726712
https://hdl.handle.net/11250/2650394

Variational Autoencoder-Regulated Data Augmentation for Precise Estimation of Organic Pollutants in Water with Deeplearning Neural Network.

Authors: Ashiquzzaman, Akm Kim, Jinsul Kim, Chihoon

Source: Applied Artificial Intelligence; Dec2025, Vol. 39 Issue 1, p1-12, 12p

Deep conditional generative model for personalization of 12-lead electrocardiograms and cardiovascular risk prediction

Authors: Yuling Sang Abhirup Banerjee Marcel Beetz et al.

Source: Front Digit Health
Frontiers in Digital Health, Vol 7 (2025)

Subject Terms: cardiovascular disease, ECG electrodes, Electronic computers. Computer science, cardiac MRI, cardiovascular risk prediction, Medicine, Digital Health, variational autoencoder, QA75.5-76.95, Public aspects of medicine, RA1-1270, ECG generation

Access URL: https://pubmed.ncbi.nlm.nih.gov/40309320
https://doaj.org/article/2a10921b18e7497d98cab78e66c9b407
https://ora.ox.ac.uk/objects/uuid:e5ae4f89-fe9e-4dee-b8f3-051c410e9671
https://doi.org/10.3389/fdgth.2025.1558589

Generating multiperspective process traces using conditional variational autoencoders

Authors: Riccardo Graziosi Massimiliano Ronzani Andrei Buliga et al.

Source: Process Science. 2

Subject Terms: Conditional models, Generative AI, Process mining, Deep learning

File Description: application/pdf

Att-Adapter: A Robust and Precise Domain-Specific Multi-Attributes T2I Diffusion Adapter via Conditional Variational Autoencoder

Authors: Cho, Wonwoong Chen, Yan-Ying Klenk, Matthew et al.

Subject Terms: FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Artificial Intelligence, Computer Vision and Pattern Recognition (cs.CV), Computer Vision and Pattern Recognition

Access URL: http://arxiv.org/abs/2503.11937

Predicting Head Pose from Speech with a Conditional Variational Autoencoder

Authors: Greenwood, David Laycock, Stephen Matthews, Iain

Source: Interspeech 2017. :3991-3995

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

File Description: application/pdf

Access URL: https://ueaeprints.uea.ac.uk/id/eprint/64846/1/greenwood_Interspeech.pdf
https://ueaeprints.uea.ac.uk/id/eprint/64846/

CSCVAE-NID: A Conditionally Symmetric Two-Stage CVAE Framework with Cost-Sensitive Learning for Imbalanced Network Intrusion Detection

Authors: Zhenyu Wang Xuejun Yu

Source: Entropy, Vol 27, Iss 11, p 1086 (2025)

Subject Terms: network intrusion detection, anomaly detection, class imbalance, conditional variational autoencoder, cost-sensitive learning, Science, Astrophysics, QB460-466, Physics, QC1-999

File Description: electronic resource

Relation: https://www.mdpi.com/1099-4300/27/11/1086; https://doaj.org/toc/1099-4300

Access URL: https://doaj.org/article/436eedb3471148739d14d3a679d990a3

Hierarchical Variational Autoencoder for Visual Counterfactuals

Authors: Vercheval, Nicolas Pizurica, Aleksandra

Index Terms: Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2102.00854

Trans-cVAE-GAN: Transformer-Based cVAE-GAN for High-Fidelity EEG Signal Generation

Authors: Yiduo Yao Xiao Wang Xudong Hao et al.

Source: Bioengineering, Vol 12, Iss 10, p 1028 (2025)

Subject Terms: generative modeling, conditional variational autoencoder, generative adversarial network, transformer, Technology, Biology (General), QH301-705.5

File Description: electronic resource

Relation: https://www.mdpi.com/2306-5354/12/10/1028; https://doaj.org/toc/2306-5354

Access URL: https://doaj.org/article/b176dbfe8b9a4183a92e65214ca23f89

Diverse Image Captioning via Conditional Variational Autoencoder and Dual Contrastive Learning.

Authors: JING XU BING LIU YONG ZHOU et al.

Source: ACM Transactions on Multimedia Computing, Communications & Applications; Jan2024, Vol. 20 Issue 1, p1-16, 16p

Subject Terms: SEQUENTIAL learning, LEARNING, ENTROPY

Conditional Variational Autoencoder Networks for Autonomous Vehicle Path Prediction.

Authors: Jagadish, D. N. Chauhan, Arun Mahto, Lakshman

Source: Neural Processing Letters; Oct2022, Vol. 54 Issue 5, p3965-3978, 14p

Subject Terms: NETWORK performance, FORECASTING, DEEP learning, AUTONOMOUS vehicles

Generating Multiperspective Process Traces Using Conditional Variational Autoencoders

Authors: Graziosi, Riccardo Ronzani, Massimiliano Buliga, Andrei et al.

Availability: https://doi.org/10.21203/rs.3.rs-5653604/v1
https://www.researchsquare.com/article/rs-5653604/v1
https://www.researchsquare.com/article/rs-5653604/v1.html

Diversifying Furniture Recommendations: A User-Profile-Enhanced Recommender VAE Approach.

Authors: Izawa, Shin Ono, Keiko Adamidis, Panagiotis

Source: Applied Sciences (2076-3417); Mar2025, Vol. 15 Issue 5, p2761, 20p

Subject Terms: AUTOENCODERS, ACQUISITION of data, FURNITURE, ELECTRONIC commerce

Semi Conditional Variational Auto-Encoder for Flow Reconstruction and Uncertainty Quantification from Limited Observations

Authors: Gundersen, Kristian Oleynik, Anna Blaser, Nello et al.

Index Terms: Statistics - Machine Learning, Computer Science - Machine Learning, Physics - Fluid Dynamics, text

URL: http://arxiv.org/abs/2007.09644

Deep Learning Algorithm for Maximizing the Spectral Efficiency of Wireless Systems.

Authors: Bobrov, Evgeny

Source: Pattern Recognition & Image Analysis; Dec2022, Vol. 32 Issue 4, p763-771, 9p

Improving Conditional Level Generation using Automated Validation in Match-3 Games

Authors: Aylagas, Monica Villanueva Bergdahl, Joakim Gillberg, Jonas et al.

Index Terms: Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2409.06349