Výsledky vyhledávání - transformer-based conditioning variational autoencoder*

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

Autoři: Yao, Yiduo Wang, Xiao Hao, Xudong a další

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

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

ProT-VAE: Protein Transformer Variational AutoEncoder for functional protein design.

Autoři: Sevgen, Emre Moller, Joshua Lange, Adrian a další

Zdroj: Proceedings of the National Academy of Sciences of the United States of America; 10/14/2025, Vol. 122 Issue 41, p1-10, 21p

Témata: PROTEIN engineering, SYNTHETIC proteins, TRANSFORMER models, ENZYME biotechnology, FUNCTIONAL assessment, LATENT variables, MACHINE learning, PROBABILISTIC generative models

TVAE-3D: Efficient multi-view 3D shape reconstruction with diffusion models and transformer based VAE.

Autoři: Sajid, Muhammad Malik, Kaleem Razzaq Khan, Ali Haider a další

Zdroj: Cluster Computing; Nov2025, Vol. 28 Issue 13, p1-22, 22p

Témata: COMPUTER vision, THREE-dimensional imaging, PROBABILISTIC generative models, TRANSFORMER models, POINT cloud, LATENT variables

Sentiment-Oriented Transformer-Based Variational Autoencoder Network for Live Video Commenting.

Autoři: Fu, Fengyi Fang, Shancheng Chen, Weidong a další

Zdroj: ACM Transactions on Multimedia Computing, Communications & Applications; Apr2024, Vol. 20 Issue 4, p1-24, 24p

Témata: TRANSFORMER models, NARRATION, POPULARITY, VIDEO compression, SEMANTICS

Lightweight Text-to-Image Generation Model Based on Contrastive Language-Image Pre-Training Embeddings and Conditional Variational Autoencoders.

Autoři: Wang, Yubo Zhang, Gaofeng

Zdroj: Electronics (2079-9292); Jun2025, Vol. 14 Issue 11, p2185, 31p

Témata: AUTOENCODERS, SUPPLY & demand, GENERALIZATION

Anomaly Detection for Charging Piles Based on Conditional Variational Autoencoder.

Autoři: Wang, Chuanjun Lu, Yinyu Wang, Mingxin a další

Zdroj: International Transactions on Electrical Energy Systems; 9/23/2025, Vol. 2025, p1-12, 12p

Témata: ELECTRIC vehicles, SUPERVISED learning, PROBABILISTIC generative models, OUTLIER detection, SIGNAL detection, DISTRIBUTION (Probability theory), INFRASTRUCTURE (Economics)

The Use of Conditional Variational Autoencoders in Generating Stellar Spectra.

Autoři: Gebran, Marwan Bentley, Ian

Zdroj: Astronomy (2674-0346); Sep2025, Vol. 4 Issue 3, p13, 14p

Témata: STELLAR spectra, RADIATIVE transfer, SIMULATION methods & models, SPECTRUM analysis, ASTROPHYSICS, PROBABILISTIC generative models, MACHINE learning, QUANTITATIVE research

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

Autoři: Li, Yang

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

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

Data driven multi-stage transformer based framework for intelligent water quality monitoring.

Autoři: S, Ramya Srinath, S. Tuppad, Pushpa

Zdroj: Scientific Reports; 11/24/2025, Vol. 15 Issue 1, p1-30, 30p

Témata: WATER quality, TRANSFORMER models, SCIENTIFIC observation, TIME series analysis, SEWAGE disposal plants, WATER management, DEEP learning, DATA modeling

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

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

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

Diffusion Models for Tabular Data Imputation and Synthetic Data Generation.

Autoři: Villaizán-Vallelado, Mario Salvatori, Matteo Segura, Carlos a další

Zdroj: ACM Transactions on Knowledge Discovery from Data; Jul2025, Vol. 19 Issue 6, p1-32, 32p

Témata: PROBABILISTIC generative models, DATA privacy, MULTIPLE imputation (Statistics), STOCHASTIC models, DATA structures

A short-term load forecasting framework for air conditioning system based on model stacking.

Autoři: Liu, Tianjie Jiao, Wenling Huang, Zhiwei a další

Zdroj: Scientific Reports; 10/22/2025, Vol. 15 Issue 1, p1-17, 17p

Témata: AIR conditioning, MACHINE learning, FEATURE selection, PREDICTION models, ESTIMATION theory, DEMAND forecasting, ENSEMBLE learning

Improved Generation of Drawing Sequences Using Variational and Skip-Connected Deep Networks for a Drawing Support System.

Autoři: Nakamura, Atomu Matsumoto, Homari Chiba, Koharu a další

Zdroj: Future Internet; Sep2025, Vol. 17 Issue 9, p413, 19p

Témata: DATA augmentation, DEEP learning, LATENT variables, NEURAL computers, GENERATIVE artificial intelligence, DRAWING techniques

Zero-Shot Learning for S&P 500 Forecasting via Constituent-Level Dynamics: Latent Structure Modeling Without Index Supervision.

Autoři: Noh, Yoonjae Kim, Sangjin

Zdroj: Mathematics (2227-7390); Sep2025, Vol. 13 Issue 17, p2762, 17p

Témata: STANDARD & Poor's 500 Index, FORECASTING, MACROECONOMICS, ECONOMIC competition, IMPLICIT learning, LATENT structure analysis, AUTOENCODERS

Geografický termín: UNITED States

VTAE: Variational Transformer Autoencoder With Manifolds Learning.

Autoři: Shamsolmoali, Pourya Zareapoor, Masoumeh Zhou, Huiyu a další

Zdroj: IEEE Transactions on Image Processing; 2023, Vol. 32, p4486-4500, 15p

Témata: RIEMANNIAN manifolds, RIEMANNIAN metric, COMPUTER vision, AUTOENCODERS, FEATURE extraction, LATENT variables

Interpolation of missing swaption volatility data using variational autoencoders.

Autoři: Richert, Ivo Buch, Robert

Zdroj: Behaviormetrika; Jan2024, Vol. 51 Issue 1, p291-317, 27p

Témata: GIBBS sampling, INTERPOLATION, MARKET volatility, MISSING data (Statistics), RESEARCH personnel

Variational autoencoders for 3D data processing.

Autoři: Molnár, Szilárd Tamás, Levente

Zdroj: Artificial Intelligence Review; Feb2024, Vol. 57 Issue 2, p1-53, 53p

A quantum-driven multi-stage framework integrating variational entanglement, reinforcement learning, and federated explainability for climate-resilient farming.

Autoři: Khan, Amreen Habibullah Saini, Dilip Kumar Jang Bahadur Khan, Tabassum H. a další

Zdroj: Scientific Reports; 11/3/2025, Vol. 15 Issue 1, p1-16, 16p

Témata: QUANTUM computing, AGRICULTURE, FEDERATED learning, REINFORCEMENT learning, CLIMATE change, SUSTAINABLE agriculture, DATA privacy

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

Autoři: JING XU BING LIU YONG ZHOU a další

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

Témata: SEQUENTIAL learning, LEARNING, ENTROPY

Improving Variable-Rate Learned Image Compression with Transformer-Based QR Prediction and Perceptual Optimization.

Autoři: Lee, Yong-Hwan Lee, Wan-Bum

Zdroj: Applied Sciences (2076-3417); Nov2025, Vol. 15 Issue 22, p12151, 32p

Témata: IMAGE compression, TRANSFORMER models, CLOUD storage, QUANTIZATION (Physics), HIGH resolution imaging, IMAGE quality analysis