Search Results - Constrained autoencoder

Context-Dependent Manifold Learning in Dynamical Systems: A Neuromodulated Constrained Autoencoder Approach

Authors: Adriaens, Jérôme Drion, Guillaume Sacré, Pierre

Source: Symmetry and Geometry in Neural Representations workshop, NeurIPS 2025, San Diego, United States - California [US-CA], Tuesday Dec 2nd through Sunday Dec 7th

Subject Terms: Nonlinear dimensionality reduction, Neuromodulation, Context-dependent learning, Constrained autoencoder, Engineering, computing & technology, Ingénierie, informatique & technologie

Access URL: https://orbi.uliege.be/handle/2268/336469

Phy-ChemNODE: an end-to-end physics-constrained autoencoder-NeuralODE framework for learning stiff chemical kinetics of hydrocarbon fuels

Authors: Tadbhagya Kumar Anuj Kumar Pinaki Pal

Source: Frontiers in Thermal Engineering. 5

Golden Eagle Optimization CONV-LSTM and Non-Negativity-constrained Autoencoder-Deep Learning Optimization

Authors: Hajim, Wesam

Subject Terms: Deep Learning, Golden Eagle Optimization, Non-Negativity-Constrained Autoencoder, Convolutional Long Short-Term Memory, Spatial and Temporal Features, Drug Response Prediction

Golden eagle optimized CONV-LSTM and non-negativity-constrained autoencoder to support spatial and temporal features in cancer drug response prediction

Authors: Wesam Ibrahim Hajim Suhaila Zainudin Kauthar Mohd Daud et al.

Source: PeerJ Computer Science, Vol 10, p e2520 (2024)

Subject Terms: Deep learning, Golden eagle optimization, Convolutional long short-term memory, Non-negativity-constrained autoencoder, Spatial and temporal features, Drug response prediction, Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: https://peerj.com/articles/cs-2520.pdf; https://peerj.com/articles/cs-2520/; https://doaj.org/toc/2376-5992

Access URL: https://doaj.org/article/b59b72f3de2a4dd4836fa038f5eed496

Constrained Autoencoder-Based Pulse Compressed Thermal Wave Imaging for Sub-Surface Defect Detection

Authors: Kirandeep Kaur Ravibabu Mulaveesala Priyanka Mishra

Source: IEEE Sensors Journal. 22:17335-17342

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

Access URL: https://ieeexplore.ieee.org/document/9344642

Estimating Simultaneous and Proportional Finger Force Intention Based on sEMG Using a Constrained Autoencoder

Authors: Younggeol Cho Pyungkang Kim Kyung-Soo Kim

Source: IEEE Access, Vol 8, Pp 138264-138276 (2020)

Subject Terms: finger intention estimation, 03 medical and health sciences, neural network, 0206 medical engineering, surface electromyogram (sEMG), Autoencoder, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, 0305 other medical science, TK1-9971

Access URL: https://ieeexplore.ieee.org/ielx7/6287639/8948470/09151957.pdf
https://doaj.org/article/41e5d8a0a53b4a5882e4ce9458546e50
https://dblp.uni-trier.de/db/journals/access/access8.html#ChoKK20
https://ieeexplore.ieee.org/document/9151957/

Probability Correlation Learning for Anomaly Detection based on Distribution-Constrained Autoencoder

Authors: Jihua Wu Lei Zhang Cong Liu et al.

Source: 2022 23rd Asia-Pacific Network Operations and Management Symposium (APNOMS). :1-6

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

Learning nonlinear projections for reduced-order modeling of dynamical systems using constrained autoencoders

Authors: Samuel E. Otto Gregory R. Macchio Clarence W. Rowley

Source: Chaos: An Interdisciplinary Journal of Nonlinear Science. 33

Subject Terms: Mathematics - Differential Geometry, FOS: Computer and information sciences, Computer Science - Machine Learning, Dynamical Systems (math.DS), Systems and Control (eess.SY), 68T07, 34A34, 34C20, 49Q12, 53Z30, 53Z50, 14M15, 65K10, 46N10, 37C86, Electrical Engineering and Systems Science - Systems and Control, Machine Learning (cs.LG), Computational Engineering, Finance, and Science (cs.CE), Differential Geometry (math.DG), FOS: Mathematics, FOS: Electrical engineering, electronic engineering, information engineering, Mathematics - Dynamical Systems, Computer Science - Computational Engineering, Finance, and Science

Access URL: https://pubmed.ncbi.nlm.nih.gov/38011714
http://arxiv.org/abs/2307.15288

Simultaneous and Proportional Wrist Force Intent Estimation Method using Constrained Autoencoder

Authors: Younggeol Cho Pyungkang Kim Kyung-Soo Kim

Source: 2021 21st International Conference on Control, Automation and Systems (ICCAS). :1917-1921

Subject Terms: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Phy-ChemNODE : an end-to-end physics-constrained autoencoder-NeuralODE framework for learning stiff chemical kinetics of hydrocarbon fuels.

Authors: Kumar, Tadbhagya Kumar, Anuj Pal, Pinaki

Source: Frontiers in Thermal Engineering; 2025, p1-8, 8p

Subject Terms: CHEMICAL kinetics, AUTOENCODERS, DIMENSIONAL reduction algorithms, CONSERVATION of mass, PREDICTION models, FOSSIL fuels, CONSTRAINTS (Physics), ARTIFICIAL neural networks

Prediction of Head Motion from Speech Waveforms with a Canonical-Correlation-Constrained Autoencoder

Authors: Hiroshi Shimodaira JinHong Lu

Source: Interspeech 2020. :1301-1305

Subject Terms: 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, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 0305 other medical science, Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing

Access URL: http://arxiv.org/pdf/2002.01869
http://arxiv.org/abs/2002.01869
http://dblp.uni-trier.de/db/conf/interspeech/interspeech2020.html#LuS20
https://arxiv.org/abs/2002.01869
http://ui.adsabs.harvard.edu/abs/2020arXiv200201869L/abstract
https://arxiv.org/pdf/2002.01869.pdf
https://dblp.uni-trier.de/db/conf/interspeech/interspeech2020.html#LuS20

Learning Nonlinear Projections for Reduced-Order Modeling of Dynamical Systems using Constrained Autoencoders

Authors: Otto, Samuel E. Macchio, Gregory R. Rowley, Clarence W.

Index Terms: Mathematics - Dynamical Systems, Computer Science - Computational Engineering, Finance, and Science, Computer Science - Machine Learning, Electrical Engineering and Systems Science - Systems and Control, Mathematics - Differential Geometry, 68T07, 34A34, 34C20, 49Q12, 53Z30, 53Z50, 14M15, 65K10, 46N10, 37C86, text

URL: http://arxiv.org/abs/2307.15288

TAEN: a model-constrained Tikhonov autoencoder network for forward and inverse problems.

Authors: Van Nguyen, Hai Bui-Thanh, Tan Dawson, Clint

Source: Computer Methods in Applied Mechanics & Engineering. Nov2025:Part A, Vol. 446, pN.PAG-N.PAG. 1p.

Subject Terms: *INVERSE problems, *AUTOENCODERS, *MACHINE learning, *INITIAL value problems, *RANDOMIZATION (Statistics), *APPROXIMATION theory, *NUMERICAL analysis

Geometrically constrained, unsupervised training of convolutional autoencoders for extraction of eye landmarks

Driving Safety Risk Prediction Using Cost-Sensitive With Nonnegativity-Constrained Autoencoders Based on Imbalanced Naturalistic Driving Data

Authors: Jie Chen ZhongCheng Wu Jun Zhang

Source: IEEE Transactions on Intelligent Transportation Systems. 20:4450-4465

Subject Terms: 0502 economics and business, 05 social sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://ieeexplore.ieee.org/document/8617709/
https://dblp.uni-trier.de/db/journals/tits/tits20.html#ChenWZ19
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8617709

Driver identification based on hidden feature extraction by using adaptive nonnegativity-constrained autoencoder

Authors: Zhongcheng Wu Jie Chen Jun Zhang

Source: Applied Soft Computing. 74:1-9

Subject Terms: 0502 economics and business, 05 social sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Physics-Constrained Autoencoder Neural Network for the Prediction of Key Granule Properties in a Twin-Screw Granulation Process

Source: Computer Aided Chemical Engineering ISBN: 9780323851596

Reconstruct Anomaly to Normal: Adversarially Learned and Latent Vector-Constrained Autoencoder for Time-Series Anomaly Detection

Authors: Chuanyi Liu Chunkai Zhang Xuan Wang et al.

Source: Lecture Notes in Computer Science ISBN: 9783030893620

Access URL: https://arxiv.org/abs/2010.06846
https://arxiv.org/pdf/2010.06846
https://dblp.uni-trier.de/db/journals/corr/corr2010.html#abs-2010-06846
https://link.springer.com/chapter/10.1007/978-3-030-89363-7_39

GEOMETRICALLY CONSTRAINED, UNSUPERVISED TRAINING OF CONVOLUTIONAL AUTOENCODERS FOR EXTRACTION OF EYE LANDMARKS

Deep Learning of Constrained Autoencoders for Enhanced Understanding of Data

Authors: Babajide O. Ayinde Jacek M. Zurada

Source: IEEE Transactions on Neural Networks and Learning Systems. 29:3969-3979

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

Access URL: https://pubmed.ncbi.nlm.nih.gov/28961128