Olof Mogren

According to our database, Olof Mogren authored at least 32 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Flexible SE(2) graph neural networks with applications to PDE surrogates.

Maria Bånkestad, Olof Mogren, Aleksis Pirinen

CoRR, 2024

Impacts of Color and Texture Distortions on Earth Observation Data in Deep Learning.

Martin Willbo, Aleksis Pirinen, John Martinsson, Edvin Listo Zec, Olof Mogren, Mikael Nilsson

CoRR, 2024

Efficient Node Selection in Private Personalized Decentralized Learning.

Edvin Listo Zec, Johan Östman, Olof Mogren, Daniel Gillblad

Proceedings of the Northern Lights Deep Learning Conference, 2024

From Weak to Strong Sound Event Labels using Adaptive Change-Point Detection and Active Learning.

John Martinsson, Olof Mogren, Maria Sandsten, Tuomas Virtanen

Proceedings of the 32nd European Signal Processing Conference, 2024

2023

Concept-aware clustering for decentralized deep learning under temporal shift.

Marcus Toftås, Emilie Klefbom, Edvin Listo Zec, Martin Willbo, Olof Mogren

CoRR, 2023

Grammatical gender in Swedish is predictable using recurrent neural networks.

Edvin Listo Zec, Olof Mogren

CoRR, 2023

Private Node Selection in Personalized Decentralized Learning.

Edvin Listo Zec, Johan Östman, Olof Mogren, Daniel Gillblad

CoRR, 2023

Fully Convolutional Networks for Dense Water Flow Intensity Prediction in Swedish Catchment Areas.

Aleksis Pirinen, Olof Mogren, Mårten Västerdal

Proceedings of the 35th Annual Workshop of the Swedish Artificial Intelligence Society, 2023

2022

Decentralized Adaptive Clustering of Deep Nets is Beneficial for Client Collaboration.

Edvin Listo Zec, Ebba Ekblom, Martin Willbo, Olof Mogren, Sarunas Girdzijauskas

Proceedings of the Trustworthy Federated Learning - First International Workshop, 2022

Few-Shot Bioacoustic Event Detection Using an Event-Length Adapted Ensemble of Prototypical Networks.

John Martinsson, Martin Willbo, Aleksis Pirinen, Olof Mogren, Maria Sandsten

Proceedings of the 7th Workshop on Detection and Classification of Acoustic Scenes and Events 2022, 2022

Residual value prediction using deep learning.

Edvin Listo Zec, Olof Mogren, Ann-Charlotte Mellquist, Sarah Fallahi, Peter Algurén

Proceedings of the IEEE International Conference on Big Data, 2022

EFFGAN: Ensembles of fine-tuned federated GANs.

Ebba Ekblom, Edvin Listo Zec, Olof Mogren

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Decentralized federated learning of deep neural networks on non-iid data.

Noa Onoszko, Gustav Karlsson, Olof Mogren, Edvin Listo Zec

CoRR, 2021

Scaling Federated Learning for Fine-Tuning of Large Language Models.

Agrin Hilmkil, Sebastian Callh, Matteo Barbieri, Leon René Sütfeld, Edvin Listo Zec, Olof Mogren

Proceedings of the Natural Language Processing and Information Systems, 2021

Adversarial representation learning for synthetic replacement of private attributes.

John Martinsson, Edvin Listo Zec, Daniel Gillblad, Olof Mogren

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Blood Glucose Prediction with Variance Estimation Using Recurrent Neural Networks.

John Martinsson, Alexander Schliep, Björn Eliasson, Olof Mogren

J. Heal. Informatics Res., 2020

Federated learning using a mixture of experts.

Edvin Listo Zec, Olof Mogren, John Martinsson, Leon René Sütfeld, Daniel Gillblad

CoRR, 2020

Adversarial representation learning for private speech generation.

David Ericsson, Adam Östberg, Edvin Listo Zec, John Martinsson, Olof Mogren

CoRR, 2020

2019

Semantic Segmentation of Fashion Images Using Feature Pyramid Networks.

John Martinsson, Olof Mogren

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Generative Modelling of Semantic Segmentation Data in the Fashion Domain.

Marie Korneliusson, John Martinsson, Olof Mogren

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

Automatic Blood Glucose Prediction with Confidence Using Recurrent Neural Networks.

John Martinsson, Alexander Schliep, Björn Eliasson, Christian Meijner, Simon Persson, Olof Mogren

Proceedings of the 3rd International Workshop on Knowledge Discovery in Healthcare Data co-located with the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI 2018), 2018

2017

Character-based recurrent neural networks for morphological relational reasoning.

Olof Mogren, Richard Johansson

Proceedings of the First Workshop on Subword and Character Level Models in NLP, 2017

2016

C-RNN-GAN: Continuous recurrent neural networks with adversarial training.

Olof Mogren

CoRR, 2016

Summarizing Online User Reviews Using Bicliques.

Azam Sheikh Muhammad, Peter Damaschke, Olof Mogren

Proceedings of the SOFSEM 2016: Theory and Practice of Computer Science, 2016

Assisting Discussion Forum Users using Deep Recurrent Neural Networks.

Jacob Hagstedt P. Suorra, Olof Mogren

Proceedings of the 1st Workshop on Representation Learning for NLP, 2016

Named Entity Recognition in Swedish Health Records with Character-Based Deep Bidirectional LSTMs.

Simon Almgren, Sean Pavlov, Olof Mogren

Proceedings of the Fifth Workshop on Building and Evaluating Resources for Biomedical Text Mining, 2016

2015

Visions and open challenges for a knowledge-based culturomics.

Nina Tahmasebi, Lars Borin, Gabriele Capannini, Devdatt P. Dubhashi, Peter Exner, Markus Forsberg, Gerhard Gossen, Fredrik D. Johansson, Richard Johansson, Mikael Kågebäck, Olof Mogren, Pierre Nugues, Thomas Risse

Int. J. Digit. Libr., 2015

Extractive Summarization by Aggregating Multiple Similarities.

Olof Mogren, Mikael Kågebäck, Devdatt P. Dubhashi

Proceedings of the Recent Advances in Natural Language Processing, 2015

2014

Editing Simple Graphs.

Peter Damaschke, Olof Mogren

J. Graph Algorithms Appl., 2014

Editing the Simplest Graphs.

Peter Damaschke, Olof Mogren

Proceedings of the Algorithms and Computation - 8th International Workshop, 2014

Extractive Summarization using Continuous Vector Space Models.

Mikael Kågebäck, Olof Mogren, Nina Tahmasebi, Devdatt P. Dubhashi

Proceedings of the 2nd Workshop on Continuous Vector Space Models and their Compositionality, 2014

2008

Adaptive Dynamics of Realistic Small-World Networks

Olof Mogren, Oskar Sandberg, Vilhelm Verendel, Devdatt P. Dubhashi

CoRR, 2008