Výsledky vyhľadávania - "((\"conditional autoencoder\") OR (\"conditioning autoencoder\"))~"

A conditional masked autoencoder network based on efficient multiple-head self-attention for characterizing heterogeneous reservoirs.

Autori: Chen, Qiyu Zhou, Ruihong Chen, Dajie a ďalší

Zdroj: Expert Systems with Applications. Jan2026:Part A, Vol. 296, pN.PAG-N.PAG. 1p.

Predmety: *PETROLEUM reservoirs, *AUTOENCODERS, *GEOLOGICAL modeling, *OPTIMIZATION algorithms, *PETROLEUM engineering, *SPATIAL analysis (Statistics)

Caesynth: Real-Time Timbre Interpolation and Pitch Control with Conditional Autoencoders

Autori: Sukhan Lee Aaron Valero Puche

Zdroj: 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP). :1-6

Predmety: FOS: Computer and information sciences, Computer Science - Machine Learning, Sound (cs.SD), Audio and Speech Processing (eess.AS), FOS: Electrical engineering, electronic engineering, information engineering, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences, Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing, Machine Learning (cs.LG), 0105 earth and related environmental sciences

Prístupová URL adresa: http://arxiv.org/pdf/2111.05174
http://arxiv.org/abs/2111.05174
https://dblp.uni-trier.de/db/journals/corr/corr2111.html#abs-2111-05174
https://arxiv.org/pdf/2111.05174

CAESynth: Real-Time Timbre Interpolation and Pitch Control with Conditional Autoencoders

Autori: Puche, Aaron Valero Lee, Sukhan

Témy: Computer Science - Sound, Computer Science - Machine Learning, Electrical Engineering and Systems Science - Audio and Speech Processing, text

URL: http://arxiv.org/abs/2111.05174

Structural Dynamics Feature Learning Using a Supervised Variational Autoencoder.

Autori: Bacsa, Kiran Liu, Wei Abdallah, Imad a ďalší

Zdroj: Journal of Engineering Mechanics. Feb2025, Vol. 151 Issue 2, p1-14. 14p.

Predmety: *STRUCTURAL health monitoring, *WIND turbine blades, *AUTOENCODERS, *STRUCTURAL dynamics, *SUPERVISED learning

ERLD-HC: Entropy-Regularized Latent Diffusion for Harmony-Constrained Symbolic Music Generation.

Autori: Li, Yang¹ (AUTHOR)

Zdroj: Entropy. Sep2025, Vol. 27 Issue 9, p901. 21p.

Predmety: *HARMONICS (Music theory), *AUTOENCODERS, *SONGWRITING, *MIDI (Standard), *DEEP learning, *PROBABILISTIC generative models, *MACHINE learning, *MUSICAL notation

Variable Rate Deep Image Compression With a Conditional Autoencoder

Autori: Jungwon Lee Yoojin Choi Mostafa El-Khamy

Zdroj: 2019 IEEE/CVF International Conference on Computer Vision (ICCV). :3146-3154

Predmety: FOS: Computer and information sciences, 03 medical and health sciences, 0302 clinical medicine, Computer Vision and Pattern Recognition (cs.CV), Image and Video Processing (eess.IV), Computer Science - Computer Vision and Pattern Recognition, FOS: Electrical engineering, electronic engineering, information engineering, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Electrical Engineering and Systems Science - Image and Video Processing

Prístupová URL adresa: http://arxiv.org/pdf/1909.04802
http://arxiv.org/abs/1909.04802
https://openaccess.thecvf.com/content_ICCV_2019/papers/Choi_Variable_Rate_Deep_Image_Compression_With_a_Conditional_Autoencoder_ICCV_2019_paper.pdf
https://dblp.uni-trier.de/db/conf/iccv/iccv2019.html#ChoiEL19
https://openaccess.thecvf.com/content_ICCV_2019/html/Choi_Variable_Rate_Deep_Image_Compression_With_a_Conditional_Autoencoder_ICCV_2019_paper.html
http://dblp.uni-trier.de/db/journals/corr/corr1909.html#abs-1909-04802
https://www.arxiv-vanity.com/papers/1909.04802/

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

Autori: Yuling Sang Abhirup Banerjee Marcel Beetz a ďalší

Zdroj: Frontiers in Digital Health, Vol 7 (2025)

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

Popis súboru: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fdgth.2025.1558589/full; https://doaj.org/toc/2673-253X

Prístupová URL adresa: https://doaj.org/article/2a10921b18e7497d98cab78e66c9b407

Variable Rate Deep Image Compression With a Conditional Autoencoder

Autori: Choi, Yoojin El-Khamy, Mostafa Lee, Jungwon

Témy: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition, text

URL: http://arxiv.org/abs/1909.04802

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

Autori: Alwani, Neil (author)

Témy: 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

Autori: Zheng, Yijia He, Tong Qiu, Yixuan a ďalší

Témy: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Statistics - Machine Learning, text

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

Learning Conditional Variational Autoencoders with Missing Covariates

Autori: Ramchandran, Siddharth Tikhonov, Gleb Lönnroth, Otto a ďalší

Témy: Statistics - Machine Learning, Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2203.01218

Variational Autoencoders for chord sequence generation conditioned on Western harmonic music complexity

Autori: Luca Comanducci Davide Gioiosa Massimiliano Zanoni a ďalší

Zdroj: EURASIP Journal on Audio, Speech, and Music Processing, Vol 2023, Iss 1, Pp 1-17 (2023)

Predmety: Conditional music generation, Deep learning, VAE, Harmonic complexity, Acoustics. Sound, QC221-246, Electronic computers. Computer science, QA75.5-76.95

Popis súboru: electronic resource

Relation: https://doaj.org/toc/1687-4722

Prístupová URL adresa: https://doaj.org/article/4dd43aac6fa4491c89fefea081885cff

Text to Image Synthesis using Stacked Conditional Variational Autoencoders and Conditional Generative Adversarial Networks

Autori: Tibebu, Haileleol Malik, Aadil De Silva, Varuna

Témy: Computer Science - Computer Vision and Pattern Recognition, Electrical Engineering and Systems Science - Image and Video Processing, text

URL: http://arxiv.org/abs/2207.03332

Drivetrain simulation using variational autoencoders

Autori: Sharma, Pallavi Urrea-Quintero, Jorge-Humberto Bogdan, Bogdan a ďalší

Témy: Computer Science - Machine Learning, Computer Science - Computational Engineering, Finance, and Science, Electrical Engineering and Systems Science - Signal Processing, text

URL: http://arxiv.org/abs/2501.17653

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

Autori: Yao, Yiduo Wang, Xiao Hao, Xudong a ďalší

Zdroj: Bioengineering (Basel). Oct2025, Vol. 12 Issue 10, p1028. 40p.

Predmety: *ELECTROENCEPHALOGRAPHY, *GENERATIVE adversarial networks, *TRANSFORMER models, *BRAIN-computer interfaces, *AFFECTIVE computing, *PROBABILISTIC generative models, *EMOTION recognition

Conditional Inference in Pre-trained Variational Autoencoders via Cross-coding

Autori: Wu, Ga Domke, Justin Sanner, Scott

Témy: Statistics - Machine Learning, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/1805.07785

Physical discovery in representation learning via conditioning on prior knowledge.

Autori: Liu, Yongtao Huey, Bryan D. Ziatdinov, Maxim A. a ďalší

Zdroj: Journal of Applied Physics. 8/14/2024, Vol. 136 Issue 6, p1-13. 13p.

Predmety: *PIEZORESPONSE force microscopy, *SPECTRAL imaging, *LATENT variables, *EXTRAPOLATION, *PRIOR learning

Survey on sampling conditioned brain images and imaging measures with generative models.

Autori: Cheong, Sehyoung Lee, Hoseok Kim, Won Hwa

Zdroj: Biomedical Engineering Letters; Sep2025, Vol. 15 Issue 5, p831-843, 13p

Health Indicator for Low-Speed Axial Bearings Using Variational Autoencoders

Autori: Martin Hemmer Andreas Klausen Huynh Van Khang a ďalší

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

Predmety: Bearing fault detection, condition monitoring, unsupervised learning, variational autoencoder, conditional variational autoencoder, generative models, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis súboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/9001012/; https://doaj.org/toc/2169-3536

Prístupová URL adresa: https://doaj.org/article/0991e1280a1a494ca8807df0ebcf2aff

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

Autori: Zhenyu Wang Xuejun Yu

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

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

Popis súboru: electronic resource

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

Prístupová URL adresa: https://doaj.org/article/436eedb3471148739d14d3a679d990a3