Amanote Research
Register
Sign In
Discover open access scientific publications
Search, annotate, share and cite publications
Publications by Markus Gotz
Machine Learning-Aided Numerical Linear Algebra: Convolutional Neural Networks for the Efficient Preconditioner Generation
Related publications
SDChannelNets: Extremely Small and Efficient Convolutional Neural Networks
IEICE Transactions on Information and Systems
Electronic Engineering
Pattern Recognition
Hardware
Computer Vision
Electrical
Architecture
Artificial Intelligence
Software
Numerical Linear Algebra
Choice Reviews Online
Software for Numerical Linear Algebra
Matrix Algebra
Convolutional Neural Networks Based Efficient Approach for Classification of Lung Diseases
Health Information Science and Systems
Health Information Management
Health Informatics
Designing Efficient Architectures for Modeling Temporal Features With Convolutional Neural Networks
Exploiting Semantics in Neural Machine Translation With Graph Convolutional Networks
Parallel Numerical Linear Algebra
Acta Numerica
Mathematics
Numerical Analysis
Classification With Stochastic Learning Methods and Convolutional Neural Networks
SN Computer Science
Recursive Convolutional Neural Networks for Epigenomics