Výsledky vyhledávání - transformer-based (conditional OR conditioning) variational autoencoder~

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

Autoři: Gi-Hu Kim Hae-Seong Jeong Han-Sung Kim a další

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

Cybersecurity enhancement using conditional generative adversarial network with transformer-based conditional variational autoencoder

Autoři: Prithvipal Singh Sandeep Singh Gurupdesh Singh a další

Zdroj: Engineering Applications of Artificial Intelligence. 161:112220

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

Autoři: Kim, Gi-Hu Jeong, Hae-Seong Kim, Han-Sung a další

Zdroj: Journal of the Korean Physical Society. Oct2025, Vol. 87 Issue 7, p883-891. 9p.

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

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

Autoři: Hui He Qi Zhang Kun Yi a další

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

Témata: 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)

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

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

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

ACTIVA: Amortized Causal Effect Estimation without Graphs via Transformer-based Variational Autoencoder

Autoři: Sauter, Andreas Salehkaleybar, Saber Plaat, Aske a další

Témata: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, text

URL: http://arxiv.org/abs/2503.01290

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

Transformer-based Conditional Variational Autoencoder for Controllable Story Generation

Autoři: Fang, Le Zeng, Tao Liu, Chaochun a další

Témata: Computer Science - Computation and Language, Computer Science - Artificial Intelligence, Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2101.00828

ACTIVA: Amortized Causal Effect Estimation via Transformer-based Variational Autoencoder

Autoři: Sauter, Andreas Salehkaleybar, Saber Plaat, Aske a další

Témata: Machine Learning, FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Artificial Intelligence, Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/2503.01290

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

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

Autoři: He, H Zhang, Q Yi, K a další

Témata: Journal Article

URL: http://hdl.handle.net/10453/180311
IEEE Trans Neural Netw Learn Syst
10.1109/TNNLS.2024.3384842

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

Recurrence Boosts Diversity! Revisiting Recurrent Latent Variable in Transformer-Based Variational AutoEncoder for Diverse Text Generation

Autoři: Hu, Jinyi Yi, Xiaoyuan Li, Wenhao a další

Zdroj: Findings of the Association for Computational Linguistics: EMNLP 2022. :6306-6320

Témata: FOS: Computer and information sciences, Computer Science - Computation and Language, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Computation and Language (cs.CL)

Přístupová URL adresa: http://arxiv.org/abs/2210.12409

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

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

Map Completion Using Generative Models on a Custom Dataset.

Autoři: Güzel, Selma Uslu, Erkan

Zdroj: Signal, Image & Video Processing; Nov2025, Vol. 19 Issue 11, p1-8, 8p

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

Autoři: He, Hui Zhang, Qi Yi, Kun a další

Témata: Computer Science - Machine Learning, 68Txx, I.2.6, text

URL: http://arxiv.org/abs/2209.00654