Suchergebnisse - (conditional OR conditioning) variational (autoencoder（cvae）* OR autoencoder（cae）*)*

Physical discovery in representation learning via conditioning on prior knowledge.

Autoren: Liu, Yongtao Huey, Bryan D. Ziatdinov, Maxim A. et al.

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

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

Conditional Variational Autoencoder (cVAE) for bio-plastic generation

Autoren: Choo, Hyunkyung Pakarinen, Olli Garg, Vikas Kumar

Zugangs-URL: https://cris.vtt.fi/en/publications/6296e553-af7a-49d8-a033-b2787f5771b6

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

Autoren: Alwani, Neil (author)

Index Begriffe: 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

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

Autoren: Changjiang Shi Zhijie Zhang Shengqing Xiong et al.

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

Schlagwörter: 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

Zugangs-URL: https://doaj.org/article/172f29a7106a48fb9baccd27a3d5514e

Generating multiperspective process traces using conditional variational autoencoders

Autoren: Riccardo Graziosi Massimiliano Ronzani Andrei Buliga et al.

Quelle: Process Science. 2

Schlagwörter: Conditional models, Generative AI, Process mining, Deep learning

Dateibeschreibung: application/pdf

SpateCV: cross-modality alignment regularization of cell types improves spatial gene imputation for spatial transcriptomics

Autoren: Jiaqi Yuan Junhua Yu Qianbei Yi et al.

Quelle: Journal of Translational Medicine, Vol 23, Iss 1, Pp 1-21 (2025)

Schlagwörter: Spatial transcriptomics, Single-cell RNA sequencing, Gene imputation, Conditional variational autoencoder (CVAE), Attention mechanism, Medicine

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/1479-5876

Zugangs-URL: https://doaj.org/article/a2b6ea14dfa84acc85be4d66915588f3

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

Autoren: Pradeep Kumar Yadalam

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

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

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

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

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

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

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

Zugangs-URL: http://arxiv.org/abs/2503.11937

Generative design of RHS/SHS profiles using Conditional Variational Autoencoder (CVAE)

Autoren: Müller, Andreas Kraus, Michael Anton Andras, Taras

Schlagwörter: CVAE, machine learning, local buckling, Digital design tools, high strength steel

Aviation Fuel Pump Fault Diagnosis Based on Conditional Variational Self-Encoder Adaptive Synthetic Less Data Enhancement.

Autoren: Liu, Tiejun Zhang, Yaoping Yin, Xiaojing et al.

Quelle: Mathematics (2227-7390). Jul2025, Vol. 13 Issue 14, p2218. 18p.

Schlagwörter: *FUEL pumps, *FAULT diagnosis, *COMMERCIAL aeronautics, *MACHINE learning, *DATA augmentation

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

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

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

Anomaly Detection for Charging Piles Based on Conditional Variational Autoencoder.

Autoren: Wang, Chuanjun Lu, Yinyu Wang, Mingxin et al.

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

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

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

Autoren: Yuling Sang Abhirup Banerjee Marcel Beetz et al.

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

Schlagwörter: 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

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/2a10921b18e7497d98cab78e66c9b407

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

Autoren: Jiang, Junhao Zuo, Yi Li, Zhiyuan

Quelle: Reliability Engineering and System Safety. 267

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

Zugangs-URL: https://research.chalmers.se/publication/549377

MCVAE: A New Multi-Conditional Approach for Scalable Emergency Ad Hoc Network Design and Node Localization Using Generative Variational Autoencoder.

Autoren: Jabbar, M. A. A. Abbas, A. R. Ghani, R. F.

Quelle: International Journal of Engineering Transactions C: Aspects; Jun2026, Vol. 39 Issue 6, p1390-1401, 12p

Schlagwörter: AD hoc computer networks, EMERGENCY management, REAL-time computing, AUTOENCODERS, PROBABILISTIC generative models, WIRELESS communications, SCALABILITY

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

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

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

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

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

Autoren: Borun Das Andrew Peters Guoqiang Li et al.

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

The Use of Conditional Variational Autoencoders in Generating Stellar Spectra.

Autoren: Gebran, Marwan Bentley, Ian

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

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

Heartbeat detection and personal authentication using a 60 GHz Doppler sensor

Autoren: Takuma Asano Shintaro Izumi Hiroshi Kawaguchi

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

Schlagwörter: biometric authentication, conditional variational autoencoder (CVAE), heartbeat, microwave Doppler sensor, non-contact measurement, Medicine, Public aspects of medicine, RA1-1270, Electronic computers. Computer science, QA75.5-76.95

Dateibeschreibung: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fdgth.2025.1570144/full; https://doaj.org/toc/2673-253X

Zugangs-URL: https://doaj.org/article/88ddede3f91b480a8e160b07f561a44e