Adaptive Dynamics of Realistic Small-World Networks - Olof Mogren; Oskar Sandberg; Vilhelm Verendel; Devdatt P. Dubhashi (CoRR, 2008)

Extractive Summarization using Continuous Vector Space Models. - Mikael Kågebäck; Olof Mogren; Nina Tahmasebi; Devdatt P. Dubhashi (CVSC@EACL, 2014)

Editing the Simplest Graphs. - Peter Damaschke; Olof Mogren (WALCOM, 2014)

Editing Simple Graphs. - Peter Damaschke; Olof Mogren (J. Graph Algorithms Appl., 2014)

Extractive Summarization by Aggregating Multiple Similarities. - Olof Mogren; Mikael Kågebäck; Devdatt P. Dubhashi (RANLP, 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; et al. (Int. J. Digit. Libr., 2015)

Named Entity Recognition in Swedish Health Records with Character-Based Deep Bidirectional LSTMs. - Simon Almgren; Sean Pavlov; Olof Mogren (BioTxtM@COLING 2016, 2016)

Assisting Discussion Forum Users using Deep Recurrent Neural Networks. - Jacob Hagstedt P. Suorra; Olof Mogren (Rep4NLP@ACL, 2016)

Summarizing Online User Reviews Using Bicliques. - Azam Sheikh Muhammad; Peter Damaschke; Olof Mogren (SOFSEM, 2016)

C-RNN-GAN: Continuous recurrent neural networks with adversarial training. - Olof Mogren (CoRR, 2016)

Character-based recurrent neural networks for morphological relational reasoning. - Olof Mogren; Richard Johansson (SWCN@EMNLP, 2017)

Automatic Blood Glucose Prediction with Confidence Using Recurrent Neural Networks. - John Martinsson; Alexander Schliep; Björn Eliasson; Christian Meijner; Simon Persson; Olof Mogren (KDH@IJCAI, 2018)

Generative Modelling of Semantic Segmentation Data in the Fashion Domain. - Marie Korneliusson; John Martinsson; Olof Mogren (ICCV Workshops, 2019)

Semantic Segmentation of Fashion Images Using Feature Pyramid Networks. - John Martinsson; Olof Mogren (ICCV Workshops, 2019)

Adversarial representation learning for private speech generation. - David Ericsson; Adam Östberg; Edvin Listo Zec; John Martinsson; Olof Mogren (CoRR, 2020)

Federated learning using a mixture of experts. - Edvin Listo Zec; Olof Mogren; John Martinsson; Leon René Sütfeld; Daniel Gillblad (CoRR, 2020)

Blood Glucose Prediction with Variance Estimation Using Recurrent Neural Networks. - John Martinsson; Alexander Schliep; Björn Eliasson; Olof Mogren (J. Heal. Informatics Res., 2020)

Adversarial representation learning for synthetic replacement of private attributes. - John Martinsson; Edvin Listo Zec; Daniel Gillblad; Olof Mogren (IEEE BigData, 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 (NLDB, 2021)

Decentralized federated learning of deep neural networks on non-iid data. - Noa Onoszko; Gustav Karlsson; Olof Mogren; Edvin Listo Zec (CoRR, 2021)

EFFGAN: Ensembles of fine-tuned federated GANs. - Ebba Ekblom; Edvin Listo Zec; Olof Mogren (IEEE Big Data, 2022)

Residual value prediction using deep learning. - Edvin Listo Zec; Olof Mogren; Ann-Charlotte Mellquist; Sarah Fallahi; Peter Algurén (IEEE Big Data, 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 (DCASE, 2022)

Decentralized Adaptive Clustering of Deep Nets is Beneficial for Client Collaboration. - Edvin Listo Zec; Ebba Ekblom; Martin Willbo; Olof Mogren; Sarunas Girdzijauskas (FL@IJCAI, 2022)

Fully Convolutional Networks for Dense Water Flow Intensity Prediction in Swedish Catchment Areas. - Aleksis Pirinen; Olof Mogren; Mårten Västerdal (SAIS, 2023)

Private Node Selection in Personalized Decentralized Learning. - Edvin Listo Zec; Johan Östman; Olof Mogren; Daniel Gillblad (CoRR, 2023)

Grammatical gender in Swedish is predictable using recurrent neural networks. - Edvin Listo Zec; Olof Mogren (CoRR, 2023)

Concept-aware clustering for decentralized deep learning under temporal shift. - Marcus Toftås; Emilie Klefbom; Edvin Listo Zec; Martin Willbo; Olof Mogren (CoRR, 2023)

From Weak to Strong Sound Event Labels using Adaptive Change-Point Detection and Active Learning. - John Martinsson; Olof Mogren; Maria Sandsten; Tuomas Virtanen (EUSIPCO, 2024)

Efficient Node Selection in Private Personalized Decentralized Learning. - Edvin Listo Zec; Johan Östman; Olof Mogren; Daniel Gillblad (NLDL, 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)

Flexible SE(2) graph neural networks with applications to PDE surrogates. - Maria Bånkestad; Olof Mogren; Aleksis Pirinen (CoRR, 2024)

The Accuracy Cost of Weakness: A Theoretical Analysis of Fixed-Segment Weak Labeling for Events in Time. - John Martinsson; Olof Mogren; Tuomas Virtanen; Maria Sandsten (CoRR, 2025)

Aggregation Strategies for Efficient Annotation of Bioacoustic Sound Events Using Active Learning. - Richard Lindholm; Oscar Marklund; Olof Mogren; John Martinsson (CoRR, 2025)