Learning to Parameterize a Stochastic Process Using Neuromorphic Data Generation

Author:

Severa William1,Smith J. Darby1,Aimone James Bradley1,Lehoucq Richard1

Affiliation:

1. Sandia National Laboratories, USA

Publisher

ACM

Reference39 articles.

1. James  B Aimone , Kathleen  E Hamilton , Susan Mniszewski , Leah Reeder , Catherine  D Schuman , and William  M Severa . 2018 . Non-neural network applications for spiking neuromorphic hardware . In Proceedings of the Third International Workshop on Post Moores Era Supercomputing. 24–26 . James B Aimone, Kathleen E Hamilton, Susan Mniszewski, Leah Reeder, Catherine D Schuman, and William M Severa. 2018. Non-neural network applications for spiking neuromorphic hardware. In Proceedings of the Third International Workshop on Post Moores Era Supercomputing. 24–26.

2. Assessing a Neuromorphic Platform for use in Scientific Stochastic Sampling

3. Dynamic Programming with Spiking Neural Computing

4. Optuna

5. Truly Heterogeneous HPC: Co-design to Achieve What Science Needs from HPC

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