Search Results - "Wasserstein autoencoder"

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

Authors: Yantao Li Yichao Wang Hongyu Huang

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

S2WTM: Spherical Sliced-Wasserstein Autoencoder for Topic Modeling

Authors: Adhya, Suman Sanyal, Debarshi Kumar

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

Subject Terms: 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)

Access URL: http://arxiv.org/abs/2507.12451

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

Authors: Rongqiao Wang Ruoqi Chen Yan Zhao et al.

Source: Engineering Applications of Artificial Intelligence. 152:110819

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

Authors: Sherine Brahma Tobias Schaeffter Christoph Kolbitsch et al.

Source: ISMRM Annual Meeting.

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

Authors: Chongkun Xia Yunzhou Zhang Sonya A. Coleman et al.

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

Subject Terms: 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

Authors: Zhaohui Cheng Ran Gao Qi Xu et al.

Source: 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

Authors: Kyohoon Jin Junho Lee Juhwan Choi et al.

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

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Generalized Zero-Shot Learning Using Conditional Wasserstein Autoencoder

Authors: Junhan Kim Byonghyo Shim

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

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Topic Embedded Representation Enhanced Variational Wasserstein Autoencoder for Text Modeling

Authors: Zheng Xiang Xiaoming Liu Guan Yang et al.

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

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Pixel-Wise Wasserstein Autoencoder for Highly Generative Dehazing

Authors: Guisik Kim Sung Woo Park Junseok Kwon

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

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: 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

Authors: Hidemoto Nakada Hideki Asoh

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

Access URL: 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

Authors: Linying Yao Jingbin Zhong Xiaofeng Zhang et al.

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

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

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

Stacked Wasserstein Autoencoder

Authors: Wenju Xu Shawn Keshmiri Guanghui Wang

Source: Neurocomputing. 363:195-204

Subject Terms: 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

Access URL: 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

Authors: Li, Tianxiao Guo, Hongyu Grazioli, Filippo et al.

Subject Terms: 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

File Description: application/pdf

Access URL: 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

Authors: Lijuan Yang Guanghui Yang Zhitong Bing et al.

Source: Briefings in Bioinformatics. 23

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

Access URL: https://pubmed.ncbi.nlm.nih.gov/35945135

Improving Text Classifiers Through Controlled Text Generation Using Transformer Wasserstein Autoencoder

Authors: C. Harikrishnan N. M. Dhanya

Source: Lecture Notes in Networks and Systems ISBN: 9789811655289

Learning Disentangled Representations with the Wasserstein Autoencoder

Authors: Benoit Gaujac David Barber Ilya Feige

Source: Lecture Notes in Computer Science ISBN: 9783030865221

Subject Terms: 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)

Access URL: 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

Authors: Chakrabarty, Anish Das, Swagatam

Index Terms: Statistics - Machine Learning, Computer Science - Machine Learning, text

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

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

Authors: Chen, Yurong

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

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