Karl Bäckström

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 13

Top Topics

Convolutional Network

Stochastic Gradient Descent

Top Venues

Publications

Ebrahim Balouji, Karl Bäckström, Tomas McKelvey
Deep Reinforcement Learning Based Grid-Forming Inverter. IAS (2023)
Karl Bäckström, Marina Papatriantafilou, Philippas Tsigas
ASAP.SGD: Instance-based Adaptiveness to Staleness in Asynchronous SGD. ICML (2022)
Karl Bäckström, Marina Papatriantafilou, Philippas Tsigas
The Impact of Synchronization in Parallel Stochastic Gradient Descent. ICDCIT (2022)
Karl Bäckström, Ivan Walulya, Marina Papatriantafilou, Philippas Tsigas
Consistent Lock-free Parallel Stochastic Gradient Descent for Fast and Stable Convergence. CoRR (2021)
Karl Bäckström, Ivan Walulya, Marina Papatriantafilou, Philippas Tsigas
Consistent Lock-free Parallel Stochastic Gradient Descent for Fast and Stable Convergence. IPDPS (2021)
Ebrahim Balouji, Karl Bäckström, Petri Hovila
A Deep Learning Approach to Earth Fault Classification and Source Localization. ISGT-Europe (2020)
Dhasarathy Parthasarathy, Karl Bäckström, Jens Henriksson, Sólrún Einarsdóttir
Controlled time series generation for automotive software-in-the-loop testing using GANs. CoRR (2020)
Dhasarathy Parthasarathy, Karl Bäckström, Jens Henriksson, Sólrún Einarsdóttir
Controlled time series generation for automotive software-in-the-loop testing using GANs. AITest (2020)
Karl Bäckström, Marina Papatriantafilou, Philippas Tsigas
MindTheStep-AsyncPSGD: Adaptive Asynchronous Parallel Stochastic Gradient Descent. CoRR (2019)
Karl Bäckström, Marina Papatriantafilou, Philippas Tsigas
MindTheStep-AsyncPSGD: Adaptive Asynchronous Parallel Stochastic Gradient Descent. IEEE BigData (2019)
Victor Gustafsson, Hampus Nilsson, Karl Bäckström, Marina Papatriantafilou, Vincenzo Gulisano
Mimir - Streaming Operators Classification with Artificial Neural Networks. DEBS (2019)
Ebrahim Balouji, Karl Bäckström, Tomas McKelvey, Özgül Salor
Deep Learning Based Harmonics and Interharmonics Pre-Detection Designed for Compensating Significantly Time-varying EAF Currents. IAS (2019)
Karl Bäckström, Mahmood Nazari, Irene Yu-Hua Gu, Asgeir Store Jakola
An efficient 3D deep convolutional network for Alzheimer's disease diagnosis using MR images. ISBI (2018)