Výsledky vyhľadávania - conditioning variational autoencoder*

Variational autoencoder enhanced analysis of energy metabolism and autophagy in exercising cardiomyocytes.

Autori: Chen L Yang Y

Zdroj: Experimental biology and medicine (Maywood, N.J.) [Exp Biol Med (Maywood)] 2025 Sep 22; Vol. 250, pp. 10489. Date of Electronic Publication: 2025 Sep 22 (Print Publication: 2025).

Spôsob vydávania: Journal Article

Informácie o časopise: Publisher: Frontiers Media S.A Country of Publication: Switzerland NLM ID: 100973463 Publication Model: eCollection Cited Medium: Internet ISSN: 1535-3699 (Electronic) Linking ISSN: 15353699 NLM ISO Abbreviation: Exp Biol Med (Maywood) Subsets: MEDLINE

Výrazy zo slovníka MeSH: Myocytes, Cardiac*/metabolism , Myocytes, Cardiac*/physiology , Autophagy*/physiology , Energy Metabolism*/physiology , Physical Conditioning, Animal*/physiology, Animals ; Autoencoder

Conditioning of variational autoencoder by user traits for item recommendation

Autori: Tachioka, Yuuki

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

Explaining Machine Learning Models: Estimating Shapley Values Using Variational Autoencoders with Arbitrary Conditioning

Autori: Hiabu, Munir Eberhardt Cramer, Sebastian Raahauge

Témy: Shapley values, Machine Learning, Forsikringsmatematik, MASTERPROGRAMMETHESIS

URL: https://curis.ku.dk/ws/files/395437146/Sebastian_Cramer_Thesis.pdf
SCIENCE speciale
SCIENCE Master thesis
Afsluttende semester
Final semester
https://curis.ku.dk/ws/files/395437146/Sebastian_Cramer_Thesis.pdf

SUBSET CONDITIONING USING VARIATIONAL AUTOENCODER WITH A LEARNABLE TENSOR TRAIN INDUCED PRIOR

Towards a robust parameterization for conditioning facies models using deep variational autoencoders and ensemble smoother

Autori: Marco Aurélio Cavalcanti Pacheco Alexandre A. Emerick Smith W. A. Canchumuni

Zdroj: Computers & Geosciences. 128:87-102

Predmety: FOS: Computer and information sciences, Computer Science - Machine Learning, Statistics - Machine Learning, Machine Learning (stat.ML), 0101 mathematics, 01 natural sciences, Machine Learning (cs.LG), 0105 earth and related environmental sciences

Prístupová URL adresa: http://arxiv.org/pdf/1812.06900
http://arxiv.org/abs/1812.06900
http://ui.adsabs.harvard.edu/abs/2019CG....128...87C/abstract
https://dblp.uni-trier.de/db/journals/corr/corr1812.html#abs-1812-06900
https://arxiv.org/pdf/1812.06900.pdf
https://pubag.nal.usda.gov/catalog/6393139
https://www.sciencedirect.com/science/article/pii/S0098300419300378
http://export.arxiv.org/pdf/1812.06900

Subset conditioning using variational autoencoder with a learnable tensor train induced prior

SUBSET CONDITIONING USING VARIATIONAL AUTOENCODER WITH A LEARNABLE TENSOR TRAIN INDUCED PRIOR

Vector quantization variational autoencoder for turbulent flow images

Autori: Daryl Fung Ioannis W. Kokkinakis Dimitris Drikakis

Zdroj: Physics of Fluids. 37

Investigation of F0 Conditioning and Fully Convolutional Networks in Variational Autoencoder Based Voice Conversion

Autori: Huang, Wen-Chin Wu, Yi-Chiao Lo, Chen-Chou a ďalší

Prispievatelia: Huang, Wen-Chin Wu, Yi-Chiao Lo, Chen-Chou a ďalší

Zdroj: Interspeech 2019.

Predmety: FOS: Computer and information sciences, Sound (cs.SD), 03 medical and health sciences, Audio and Speech Processing (eess.AS), FOS: Electrical engineering, electronic engineering, information engineering, 0305 other medical science, Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing

Prístupová URL adresa: http://arxiv.org/pdf/1905.00615
http://arxiv.org/abs/1905.00615
https://arxiv.org/abs/1905.00615
https://arxiv.org/pdf/1905.00615.pdf
https://dblp.uni-trier.de/db/journals/corr/corr1905.html#abs-1905-00615
https://lirias.kuleuven.be/handle/20.500.12942/711454

Subset conditioning using variational autoencoder with a learnable tensor train induced prior

Wind turbine structure health monitoring through zero-shot learning with supervised variational autoencoders

Autori: Kiran Bacsa

Zdroj: Materials Research Proceedings. 50:189-200

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

Towards a Robust Parameterization for Conditioning Facies Models Using Deep Variational Autoencoders and Ensemble Smoother

Autori: Canchumuni, Smith W. A. Emerick, Alexandre A. Pacheco, Marco Aurélio C.

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

URL: http://arxiv.org/abs/1812.06900

Variational Autoencoder with Arbitrary Conditioning

Autori: Ivanov, Oleg Figurnov, Michael Vetrov, Dmitry

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

URL: http://arxiv.org/abs/1806.02382

Structural Dynamics Feature Learning Using a Supervised Variational Autoencoder

Autori: Kiran Bacsa Wei Liu Imad Abdallah a ďalší

Zdroj: Journal of Engineering Mechanics. 151

Structural Dynamics Feature Learning Using a Supervised Variational Autoencoder

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

Zdroj: Journal of Engineering Mechanics, 151 (2)

Popis súboru: application/application/pdf

Prístupová URL adresa: http://hdl.handle.net/20.500.11850/710877

SUBSET CONDITIONING USING VARIATIONAL AUTOENCODER WITH A LEARNABLE TENSOR TRAIN INDUCED PRIOR

ECG Sensor Design Assessment with Variational Autoencoder-Based Digital Watermarking.

Autori: Hsu, Chih-Yu Chang, Chih-Yin Chen, Yin-Chi a ďalší

Zdroj: Sensors (14248220). Apr2025, Vol. 25 Issue 7, p2321. 26p.

Predmety: *DIGITAL technology, *DIGITAL watermarking, *COPYRIGHT, *DATA security, *DETECTOR circuits

Period Singer: Integrating Periodic and Aperiodic Variational Autoencoders for Natural-Sounding End-to-End Singing Voice Synthesis

Autori: Kim, Taewoo Cho, Choongsang Lee, Young Han

Zdroj: Interspeech 2024. :1875-1879

Predmety: FOS: Computer and information sciences, Sound (cs.SD), Audio and Speech Processing (eess.AS), FOS: Electrical engineering, electronic engineering, information engineering, Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing

Prístupová URL adresa: http://arxiv.org/abs/2406.09894

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