Olof Mogren

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 31

Top Topics

Top Venues

Publications

Maria Bånkestad, Olof Mogren, Aleksis Pirinen
Flexible SE(2) graph neural networks with applications to PDE surrogates. CoRR (2024)
Edvin Listo Zec, Johan Östman, Olof Mogren, Daniel Gillblad
Efficient Node Selection in Private Personalized Decentralized Learning. NLDL (2024)
John Martinsson, Olof Mogren, Maria Sandsten, Tuomas Virtanen
From Weak to Strong Sound Event Labels using Adaptive Change-Point Detection and Active Learning. CoRR (2024)
Martin Willbo, Aleksis Pirinen, John Martinsson, Edvin Listo Zec, Olof Mogren, Mikael Nilsson
Impacts of Color and Texture Distortions on Earth Observation Data in Deep Learning. CoRR (2024)
Marcus Toftås, Emilie Klefbom, Edvin Listo Zec, Martin Willbo, Olof Mogren
Concept-aware clustering for decentralized deep learning under temporal shift. CoRR (2023)
Edvin Listo Zec, Johan Östman, Olof Mogren, Daniel Gillblad
Private Node Selection in Personalized Decentralized Learning. CoRR (2023)
Edvin Listo Zec, Olof Mogren
Grammatical gender in Swedish is predictable using recurrent neural networks. CoRR (2023)
Aleksis Pirinen, Olof Mogren, Mårten Västerdal
Fully Convolutional Networks for Dense Water Flow Intensity Prediction in Swedish Catchment Areas. CoRR (2023)
Aleksis Pirinen, Olof Mogren, Mårten Västerdal
Fully Convolutional Networks for Dense Water Flow Intensity Prediction in Swedish Catchment Areas. SAIS (2023)
Ebba Ekblom, Edvin Listo Zec, Olof Mogren
EFFGAN: Ensembles of fine-tuned federated GANs. Big Data (2022)
Edvin Listo Zec, Ebba Ekblom, Martin Willbo, Olof Mogren, Sarunas Girdzijauskas
Decentralized adaptive clustering of deep nets is beneficial for client collaboration. CoRR (2022)
John Martinsson, Martin Willbo, Aleksis Pirinen, Olof Mogren, Maria Sandsten
Few-Shot Bioacoustic Event Detection Using an Event-Length Adapted Ensemble of Prototypical Networks. DCASE (2022)
Edvin Listo Zec, Ebba Ekblom, Martin Willbo, Olof Mogren, Sarunas Girdzijauskas
Decentralized Adaptive Clustering of Deep Nets is Beneficial for Client Collaboration. FL@IJCAI (2022)
Edvin Listo Zec, Olof Mogren, Ann-Charlotte Mellquist, Sarah Fallahi, Peter Algurén
Residual value prediction using deep learning. Big Data (2022)
Ebba Ekblom, Edvin Listo Zec, Olof Mogren
EFFGAN: Ensembles of fine-tuned federated GANs. CoRR (2022)
Agrin Hilmkil, Sebastian Callh, Matteo Barbieri, Leon René Sütfeld, Edvin Listo Zec, Olof Mogren
Scaling Federated Learning for Fine-Tuning of Large Language Models. NLDB (2021)
Agrin Hilmkil, Sebastian Callh, Matteo Barbieri, Leon René Sütfeld, Edvin Listo Zec, Olof Mogren
Scaling Federated Learning for Fine-tuning of Large Language Models. CoRR (2021)
John Martinsson, Edvin Listo Zec, Daniel Gillblad, Olof Mogren
Adversarial representation learning for synthetic replacement of private attributes. IEEE BigData (2021)
Noa Onoszko, Gustav Karlsson, Olof Mogren, Edvin Listo Zec
Decentralized federated learning of deep neural networks on non-iid data. CoRR (2021)
David Ericsson, Adam Östberg, Edvin Listo Zec, John Martinsson, Olof Mogren
Adversarial representation learning for private speech generation. CoRR (2020)
John Martinsson, Edvin Listo Zec, Daniel Gillblad, Olof Mogren
Adversarial representation learning for synthetic replacement of private attributes. CoRR (2020)
John Martinsson, Alexander Schliep, Björn Eliasson, Olof Mogren
Blood Glucose Prediction with Variance Estimation Using Recurrent Neural Networks. J. Heal. Informatics Res. 4 (1) (2020)
Edvin Listo Zec, Olof Mogren, John Martinsson, Leon René Sütfeld, Daniel Gillblad
Federated learning using a mixture of experts. CoRR (2020)
John Martinsson, Olof Mogren
Semantic Segmentation of Fashion Images Using Feature Pyramid Networks. ICCV Workshops (2019)
Marie Korneliusson, John Martinsson, Olof Mogren
Generative Modelling of Semantic Segmentation Data in the Fashion Domain. ICCV Workshops (2019)
John Martinsson, Alexander Schliep, Björn Eliasson, Christian Meijner, Simon Persson, Olof Mogren
Automatic Blood Glucose Prediction with Confidence Using Recurrent Neural Networks. KHD@IJCAI (2018)
Olof Mogren, Richard Johansson
Character-based recurrent neural networks for morphological relational reasoning. SWCN@EMNLP (2017)
Azam Sheikh Muhammad, Peter Damaschke, Olof Mogren
Summarizing Online User Reviews Using Bicliques. SOFSEM (2016)
Olof Mogren
C-RNN-GAN: Continuous recurrent neural networks with adversarial training. CoRR (2016)
Jacob Hagstedt P. Suorra, Olof Mogren
Assisting Discussion Forum Users using Deep Recurrent Neural Networks. Rep4NLP@ACL (2016)
Simon Almgren, Sean Pavlov, Olof Mogren
Named Entity Recognition in Swedish Health Records with Character-Based Deep Bidirectional LSTMs. BioTxtM@COLING 2016 (2016)
Olof Mogren, Mikael Kågebäck, Devdatt P. Dubhashi
Extractive Summarization by Aggregating Multiple Similarities. RANLP (2015)
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
Visions and open challenges for a knowledge-based culturomics. Int. J. Digit. Libr. 15 (2-4) (2015)
Peter Damaschke, Olof Mogren
Editing the Simplest Graphs. WALCOM (2014)
Mikael Kågebäck, Olof Mogren, Nina Tahmasebi, Devdatt P. Dubhashi
Extractive Summarization using Continuous Vector Space Models. CVSC@EACL (2014)
Peter Damaschke, Olof Mogren
Editing Simple Graphs. J. Graph Algorithms Appl. 18 (4) (2014)
Olof Mogren, Oskar Sandberg, Vilhelm Verendel, Devdatt P. Dubhashi
Adaptive Dynamics of Realistic Small-World Networks CoRR (2008)