Karl Bäckström

Visar 13 publikationer

2023

Deep Reinforcement Learning Based Grid-Forming Inverter

Ebrahim Balouji, Karl Bäckström, Tomas McKelvey
2023 IEEE Industry Applications Society Annual Meeting, IAS 2023
Paper i proceeding
2022

The Impact of Synchronization in Parallel Stochastic Gradient Descent

Karl Bäckström, Marina Papatriantafilou, Philippas Tsigas
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 13145 LNCS, p. 60-75
Paper i proceeding
2022

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

Karl Bäckström, Marina Papatriantafilou, Philippas Tsigas
Proceedings of Machine Learning Research. Vol. 162, p. 1261-1271
Paper i proceeding
2021

Consistent lock-free parallel stochastic gradient descent for fast and stable convergence

Karl Bäckström, Ivan Walulya, Marina Papatriantafilou et al
Proceedings - 2021 IEEE 35th International Parallel and Distributed Processing Symposium, IPDPS 2021, p. 423-432
Paper i proceeding
2020

A deep learning approach to earth fault classification and source localization

Ebrahim Balouji, Karl Bäckström, Petri Hovila
IEEE PES Innovative Smart Grid Technologies Conference Europe. Vol. 2020-October, p. 635-639
Paper i proceeding
2020

Deep-Learning-Based Harmonics and Interharmonics Predetection Designed for Compensating Significantly Time-Varying EAF Currents

Ebrahim Balouji, Karl Bäckström, Tomas McKelvey et al
IEEE Transactions on Industry Applications. Vol. 56 (3), p. 3250-3260
Artikel i vetenskaplig tidskrift
2020

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

Dhasarathy Parthasarathy, Karl Bäckström, Jens Henriksson et al
Proceedings - 2020 IEEE International Conference on Artificial Intelligence Testing, AITest 2020, p. 39-46
Paper i proceeding
2019

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

Ebrahim Balouji, Karl Bäckström, Tomas McKelvey et al
2019 IEEE Industry Applications Society Annual Meeting, IAS 2019
Paper i proceeding
2019

MindTheStep-AsyncPSGD: Adaptive Asynchronous Parallel Stochastic Gradient Descent

Karl Bäckström, Marina Papatriantafilou, Philippas Tsigas
Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019, p. 16-25
Paper i proceeding
2019

Mimir - Streaming operators classification with artificial neural networks

Victor Gustafsson, Hampus Nilsson, Karl Bäckström et al
DEBS 2019 - Proceedings of the 13th ACM International Conference on Distributed and Event-Based Systems, p. 258-259
Paper i proceeding
2018

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

Karl Bäckström, Mahmood Nazari, Irene Yu-Hua Gu et al
. Vol. 2018-April, p. 149-153
Paper i proceeding

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Visar 1 forskningsprojekt

2018–2023

WASP SAS

Marina Papatriantafilou Nätverk och system
Vincenzo Massimiliano Gulisano Nätverk och system
Karl Bäckström Nätverk och system
Philippas Tsigas Nätverk och system
Wallenberg AI, Autonomous Systems and Software Program

11 publikationer finns
Det kan finnas fler projekt där Karl Bäckström medverkar, men du måste vara inloggad som anställd på Chalmers för att kunna se dem.