Výsledky vyhledávání - Constrained autoencoder*

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

Autoři: Adriaens, Jérôme Drion, Guillaume Sacré, Pierre

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

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

Přístupová URL adresa: https://orbi.uliege.be/handle/2268/336469

VAE-MIP: A Mutual Information Constrained Variational Autoencoder for Privacy Protection Data Generation

Autoři: Haolong Zhuang Nan Wei Lihua Yin a další

Zdroj: 2025 11th IEEE International Conference on Privacy Computing and Data Security (PCDS). :1-8

Contour Recognition and Feature Extraction of Sem Cross-Sectional Profiles in Deep Reactive Ion Etching Based on Physics-Constrained Variational Level Set Autoencoder

Autoři: Fang Wang Hao Yu Yechen Miao a další

Zdroj: 2025 23rd International Conference on Solid-State Sensors, Actuators and Microsystems (Transducers). :122-125

Foreign Object Recognition in Railway Switches via Masked Autoencoder and Hypersphere-Constrained Feature Learning

Autoři: Chaoming Li Huacan Lin Weian Zhu a další

Zdroj: 2025 IEEE 6th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT). :501-504

Autoencoder Based Feature Compression for Bandwidth-Constrained Wireless Sensor Networks

Autoři: Kang Gao Amit Kumar Bhuyan Hrishikesh Dutta a další

Zdroj: 2025 IEEE 22nd Consumer Communications & Networking Conference (CCNC). :1-4

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

Autoři: Tadbhagya Kumar Anuj Kumar Pinaki Pal

Zdroj: Frontiers in Thermal Engineering. 5

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

Autoři: Hajim, Wesam

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

FrameCorr: Adaptive, Autoencoder-based Neural Compression for Video Reconstruction in Resource and Timing Constrained Network Settings

Autoři: John Li Deepak Nair Klara Nahrstedt a další

Zdroj: 2024 International Symposium on Multimedia (ISM). :197-200

Slow feature‐constrained decomposition autoencoder: Application to process anomaly detection and localization

Autoři: Mingwei Jia Lingwei Jiang Junhao Hu a další

Zdroj: International Journal of Adaptive Control and Signal Processing. 39:1483-1502

Témata: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 6. Clean water

AI-Driven Feature Recognition of SEM Profiles in Deep Reactive Ion Etching Based on Physics-Constrained Variational Autoencoder

Autoři: Yi Sun Fang Wang Hao Yu a další

Geometry-Based Molecular Generation With Deep Constrained Variational Autoencoder

Autoři: Chunyan Li Junfeng Yao Wei Wei a další

Zdroj: IEEE Transactions on Neural Networks and Learning Systems. 35:4852-4861

Témata: 0301 basic medicine, 0303 health sciences, 03 medical and health sciences

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/35171779

Building-CVGAE: Constrained Variational Graph Autoencoder For Architectural Volumetric Design Generation

Autoři: Sehaba, Mohammed El Amine Marsault, Xavier Miguet, Serge a další

Přispěvatelé: Sehaba, Mohammed El Amine Marsault, Xavier Miguet, Serge a další

Témata: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]

Přístupová URL adresa: https://hal.science/hal-05235761v1

Selecting Observationally Constrained Global Climate Model Ensembles Using Autoencoders and Transfer Learning

Autoři: Chibuike Chiedozie Ibebuchi Oluwaferanmi Akinyemi Itohan‐Osa Abu

Zdroj: Journal of Geophysical Research: Machine Learning and Computation, Vol 2, Iss 1, Pp n/a-n/a (2025)

Témata: model intercomparison, QC801-809, climate modes, Geophysics. Cosmic physics, general circulation models, Information technology, transfer learning, T58.5-58.64, artificial neural networks, climate modeling

Přístupová URL adresa: https://doaj.org/article/bd0ca38c09db45359a4637165a2504a0

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

Autoři: Wesam Ibrahim Hajim Suhaila Zainudin Kauthar Mohd Daud a další

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

Témata: 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

Popis souboru: electronic resource

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

Přístupová URL adresa: https://doaj.org/article/b59b72f3de2a4dd4836fa038f5eed496

SMALL-DATA REDUCED-ORDER MODELING OF CHAOTIC DYNAMICS THROUGH SYCO-AE: SYNTHETICALLY CONSTRAINED AUTOENCODERS

Autoři: Popov, Andrey A. Zanetti, Renato

Zdroj: Journal of Machine Learning for Modeling and Computing. 5:145-162

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, FOS: Mathematics, Dynamical Systems (math.DS), Mathematics - Dynamical Systems, Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/2305.08036

Dynamic Low-Rank and Sparse Priors Constrained Deep Autoencoders for Hyperspectral Anomaly Detection

Autoři: Sheng Lin Min Zhang Xi Cheng a další

Přispěvatelé: Sheng Lin Min Zhang Xi Cheng a další

Zdroj: IEEE Transactions on Instrumentation and Measurement. 73:1-18

Popis souboru: ELETTRONICO

Hyperspectral target detection based on constrained energy minimization variational autoencoder

Autoři: Kun ZHOU Yang XU Jie WEI a další

Zdroj: National Remote Sensing Bulletin. 28:78-87

Unsupervised Clustering Using a Variational Autoencoder with Constrained Mixtures for Posterior and Prior

Autoři: Mashfiqul Huq Chowdhury Yuichi Hirose Stephen Marsland a další

Zdroj: Lecture Notes in Computer Science ISBN: 9789819601158

Spatially Constrained Variational Autoencoder for Geochemical Data Denoising and Uncertainty Quantification.

Autoři: Huang, Dazheng Zuo, Renguang Wang, Jian a další

Zdroj: Journal of Earth Science. Oct2025, Vol. 36 Issue 5, p2317-2336. 20p.

Témata: *EARTH sciences, *SIGNAL denoising, *ANALYTICAL geochemistry, *DEEP learning, *DATA analysis, *EXPERIMENTAL design, *MATHEMATICAL regularization, *PROSPECTING

Design of Constrained Codebooks Using Autoencoder Networks

Autoři: Polina V. Apalina Alexander B. Sergienko

Zdroj: 2023 Seminar on Networks, Circuits and Systems (NCS). :11-15