Papers matching “deep neural network training” 228
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Neural network training under semidefinite constraints2022 Proceedings of the IEEE Conference on Decision & Control, including the Symposium on Adaptive Processes conference-paper Computer Science Stochastic Gradient Optimization Techniques cited by 1 patent
Patricia Pauli, Niklas Funcke, Dennis Gramlich, Mohamed Amine Msalmi, Frank Allgöwer
10citations -
Smaller generalization error derived for a deep residual neural network compared with shallow networks2022 IMA Journal of Numerical Analysis article Computer Science Stochastic Gradient Optimization Techniques Open access
Aku Kammonen, Jonas Kiessling, Petr Plecháč, Mattias Sandberg, Anders Szepessy, Raul F. Tempone
4citations -
Ensemble Kalman Filter Optimizing Deep Neural Networks: An Alternative Approach to Non-performing Gradient Descent2020 Lecture notes in computer science conference-paper Computer Science Stochastic Gradient Optimization Techniques
Alper Yegenoglu, Kai Krajsek, Sandra Diaz-Pier, Michaël Herty
7citations -
Learning deep linear neural networks: Riemannian gradient flows and convergence to global minimizers2021 Information and Inference A Journal of the IMA article Computer Science Stochastic Gradient Optimization Techniques Open access
Bubacarr Bah, Holger Rauhut, Ulrich Terstiege, Michael Westdickenberg
29citations -
Stable Recovery of Entangled Weights: Towards Robust Identification of Deep Neural Networks from Minimal Samples2021 arXiv (Cornell University) preprint Computer Science Neural Networks and Applications Open access
Christian Fiedler, Massimo Fornasier, Timo Klock, Michael Rauchensteiner
0citations -
CAPTURE: Memory-Centric Partitioning for Distributed DNN Training with Hybrid Parallelism2023 IEEE International Conference on High Performance Computing, Data, and Analytics conference-paper Computer Science Parallel Computing and Optimization Techniques Open access
Henk Dreuning, Kees Verstoep, Henri E. Bal, Rob V. van Nieuwpoort
0citations -
Decentralized Automatic Modulation Classification Method Based on Lightweight Neural Network2022 IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) conference-paper Computer Science Wireless Signal Modulation Classification
Biao Dong, Guozhen Xu, Xue Gang Fu, Heng Dong, Guan Gui, Haris Gacanin, +1 more
6citations