Výsledky vyhledávání - "Wasserstein Autoencoder"

RPWAEAuth: Sensor-Based Continuous Authentication Using Reconstruction Probability in Wasserstein Autoencoder

Autoři: Yantao Li Yichao Wang Hongyu Huang

Zdroj: ACM Transactions on Sensor Networks. 21:1-18

S2WTM: Spherical Sliced-Wasserstein Autoencoder for Topic Modeling

Autoři: Adhya, Suman Sanyal, Debarshi Kumar

Zdroj: Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). :23211-23225

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

Přístupová URL adresa: http://arxiv.org/abs/2507.12451

A novel wasserstein autoencoder-enhanced thermo-mechanical coupled reduced-order model for high pressure turbine blades life monitoring

Autoři: Rongqiao Wang Ruoqi Chen Yan Zhao a další

Zdroj: Engineering Applications of Artificial Intelligence. 152:110819

A Physics-informed Conditional Wasserstein Autoencoder to Quantify Uncertainties in Accelerated 2D Dynamic Radial MRI

Autoři: Sherine Brahma Tobias Schaeffter Christoph Kolbitsch a další

Zdroj: ISMRM Annual Meeting.

Graph Wasserstein Autoencoder-Based Asymptotically Optimal Motion Planning With Kinematic Constraints for Robotic Manipulation

Autoři: Chongkun Xia Yunzhou Zhang Sonya A. Coleman a další

Zdroj: IEEE Transactions on Automation Science and Engineering. 20:244-257

Témata: 0209 industrial biotechnology, 02 engineering and technology

Wasserstein Autoencoder Based End-to-End Learning Strategy of Geometric Shaping for an OAM Mode Division Multiplexing IM/DD Transmission

Autoři: Zhaohui Cheng Ran Gao Qi Xu a další

Zdroj: 2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings (ACP/POEM). :1-3

Generative Data Augmentation via Wasserstein Autoencoder for Text Classification

Autoři: Kyohoon Jin Junho Lee Juhwan Choi a další

Zdroj: 2022 13th International Conference on Information and Communication Technology Convergence (ICTC). :603-607

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Generalized Zero-Shot Learning Using Conditional Wasserstein Autoencoder

Autoři: Junhan Kim Byonghyo Shim

Zdroj: ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). :3413-3417

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Topic Embedded Representation Enhanced Variational Wasserstein Autoencoder for Text Modeling

Autoři: Zheng Xiang Xiaoming Liu Guan Yang a další

Zdroj: 2022 IEEE 5th International Conference on Electronics Technology (ICET). :1318-1322

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Pixel-Wise Wasserstein Autoencoder for Highly Generative Dehazing

Autoři: Guisik Kim Sung Woo Park Junseok Kwon

Zdroj: IEEE Transactions on Image Processing. 30:5452-5462

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/34086571
http://ui.adsabs.harvard.edu/abs/2021ITIP...30.5452K/abstract
https://www.ncbi.nlm.nih.gov/pubmed/34086571
https://dblp.uni-trier.de/db/journals/tip/tip30.html#KimPK21
https://ieeexplore.ieee.org/document/9447190
https://europepmc.org/article/MED/34086571
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/47752

One-shot style transfer using Wasserstein Autoencoder

Autoři: Hidemoto Nakada Hideki Asoh

Zdroj: 2021 Asian Conference on Innovation in Technology (ASIANCON). :1-7

Přístupová URL adresa: http://xplorestaging.ieee.org/ielx7/9544081/9544090/09544732.pdf?arnumber=9544732
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=9544732

Correlated Wasserstein Autoencoder for Implicit Data Recommendation

Autoři: Linying Yao Jingbin Zhong Xiaofeng Zhang a další

Zdroj: 2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT). :417-422

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://dblp.uni-trier.de/db/conf/webi/webi2020.html#YaoZZL20

Stacked Wasserstein Autoencoder

Autoři: Wenju Xu Shawn Keshmiri Guanghui Wang

Zdroj: Neurocomputing. 363:195-204

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences, Machine Learning (cs.LG), 0105 earth and related environmental sciences

Přístupová URL adresa: https://www.sciencedirect.com/science/article/am/pii/S0925231219310161
http://arxiv.org/abs/1910.02560
https://dblp.uni-trier.de/db/journals/corr/corr1910.html#abs-1910-02560
http://dblp.uni-trier.de/db/journals/corr/corr1910.html#abs-1910-02560
https://www.sciencedirect.com/science/article/pii/S0925231219310161

Disentangled Wasserstein Autoencoder for T-Cell Receptor Engineering

Autoři: Li, Tianxiao Guo, Hongyu Grazioli, Filippo a další

Témata: 0301 basic medicine, 0303 health sciences, T-cells, auto encoders, binding surface, data driven, protein engineering, Biomolecules (q-bio.BM), cell engineering, T cells receptors, active site, functional sites, proteins, learning systems, 03 medical and health sciences, domain knowledge, Quantitative Biology - Biomolecules, FOS: Biological sciences, cell membranes

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2210.08171
https://nrc-publications.canada.ca/eng/view/object/?id=cf5d1096-2edb-40b5-abe1-4da6a86eb52d

Accelerating the discovery of anticancer peptides targeting lung and breast cancers with the Wasserstein autoencoder model and PSO algorithm

Autoři: Lijuan Yang Guanghui Yang Zhitong Bing a další

Zdroj: Briefings in Bioinformatics. 23

Témata: 0301 basic medicine, 0303 health sciences, 03 medical and health sciences, Humans, Proteins, Breast Neoplasms, Female, Peptides, Lung, Algorithms, 3. Good health

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/35945135

Improving Text Classifiers Through Controlled Text Generation Using Transformer Wasserstein Autoencoder

Autoři: C. Harikrishnan N. M. Dhanya

Zdroj: Lecture Notes in Networks and Systems ISBN: 9789811655289

Learning Disentangled Representations with the Wasserstein Autoencoder

Autoři: Benoit Gaujac David Barber Ilya Feige

Zdroj: Lecture Notes in Computer Science ISBN: 9783030865221

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, Statistics - Machine Learning, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, 0202 electrical engineering, electronic engineering, information engineering, Machine Learning (stat.ML), 02 engineering and technology, 01 natural sciences, 0105 earth and related environmental sciences, Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/pdf/2010.03459
http://arxiv.org/abs/2010.03459
https://link.springer.com/chapter/10.1007/978-3-030-86523-8_5
https://rd.springer.com/chapter/10.1007/978-3-030-86523-8_5
https://www.arxiv-vanity.com/papers/2010.03459/
https://dblp.uni-trier.de/db/journals/corr/corr2010.html#abs-2010-03459
https://openreview.net/forum?id=vnlqCDH1b6n

DISENTANGLED WASSERSTEIN AUTOENCODER FOR PROTEIN ENGINEERING

Statistical Regeneration Guarantees of the Wasserstein Autoencoder with Latent Space Consistency

Autoři: Chakrabarty, Anish Das, Swagatam

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

URL: http://arxiv.org/abs/2110.03995

P-WAE: Generalized Patch-Wasserstein Autoencoder for Anomaly Screening

Autoři: Chen, Yurong

Témata: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence, text

URL: http://arxiv.org/abs/2108.03815