Chalmers University of Technology
Whole organizationShowing 13 publications
Deep Reinforcement Learning Based Grid-Forming Inverter
Adaptiveness, Asynchrony, and Resource Efficiency in Parallel Stochastic Gradient Descent
The Impact of Synchronization in Parallel Stochastic Gradient Descent
ASAP.SGD: Instance-based Adaptiveness to Staleness in Asynchronous SGD
Adaptiveness and Lock-free Synchronization in Parallel Stochastic Gradient Descent
Consistent lock-free parallel stochastic gradient descent for fast and stable convergence
Controlled time series generation for automotive software-in-the-loop testing using GANs
A deep learning approach to earth fault classification and source localization
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| Project | Department | Years |
|---|---|---|
| WASP SAS: Structuring data for continuous processing and ML systems | Computer Science and Engineering (Chalmers) | 2018–2023 |