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A Digital Twin Network for Computational Neuroscience Simulators: Exploring Network Architectures for Acceleration of Biological Neural Network Simulations2citations
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ExPAN(N)D: Exploring Posits for Efficient Artificial Neural Network Design in FPGA-Based Systems2020 arXiv (Cornell University) preprint Computer Science Numerical Methods and Algorithms Open access
Suresh Nambi, Salim Ullah, Siva Satyendra Sahoo, Aditya Lohana, Farhad Merchant, Akash S. Kumar
4citations -
Routing brain traffic through the von Neumann bottleneck: Efficient cache usage in spiking neural network simulation code on general purpose computers2022 Parallel Computing article Computer Science Parallel Computing and Optimization Techniques Open access
Jari Pronold, Jakob Jordan, Brian J. N. Wylie, Itaru Kitayama, Markus Diesmann, Susanne Kunkel
27citations -
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 -
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