Karl Bäckström

According to our database, Karl Bäckström authored at least 10 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Deep Reinforcement Learning Based Grid-Forming Inverter.

Ebrahim Balouji, Karl Bäckström, Tomas McKelvey

Proceedings of the IEEE Industry Applications Society Annual Meeting, 2023

2022

ASAP.SGD: Instance-based Adaptiveness to Staleness in Asynchronous SGD.

Karl Bäckström, Marina Papatriantafilou, Philippas Tsigas

Proceedings of the International Conference on Machine Learning, 2022

The Impact of Synchronization in Parallel Stochastic Gradient Descent.

Karl Bäckström, Marina Papatriantafilou, Philippas Tsigas

Proceedings of the Distributed Computing and Intelligent Technology, 2022

2021

Consistent Lock-free Parallel Stochastic Gradient Descent for Fast and Stable Convergence.

Karl Bäckström, Ivan Walulya, Marina Papatriantafilou, Philippas Tsigas

Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

2020

A Deep Learning Approach to Earth Fault Classification and Source Localization.

Ebrahim Balouji, Karl Bäckström, Petri Hovila

Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2020

Controlled time series generation for automotive software-in-the-loop testing using GANs.

Dhasarathy Parthasarathy, Karl Bäckström, Jens Henriksson, Sólrún Einarsdóttir

Proceedings of the IEEE International Conference On Artificial Intelligence Testing, 2020

2019

Deep Learning Based Harmonics and Interharmonics Pre-Detection Designed for Compensating Significantly Time-varying EAF Currents.

Ebrahim Balouji, Karl Bäckström, Tomas McKelvey, Özgül Salor

Proceedings of the 2019 IEEE Industry Applications Society Annual Meeting, Baltimore, MD, USA, September 29, 2019

Mimir - Streaming Operators Classification with Artificial Neural Networks.

Victor Gustafsson, Hampus Nilsson, Karl Bäckström, Marina Papatriantafilou, Vincenzo Gulisano

Proceedings of the 13th ACM International Conference on Distributed and Event-based Systems, 2019

MindTheStep-AsyncPSGD: Adaptive Asynchronous Parallel Stochastic Gradient Descent.

Karl Bäckström, Marina Papatriantafilou, Philippas Tsigas

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

An efficient 3D deep convolutional network for Alzheimer's disease diagnosis using MR images.

Karl Bäckström, Mahmood Nazari, Irene Yu-Hua Gu, Asgeir Store Jakola

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018