Måns Magnusson

According to our database, Måns Magnusson authored at least 25 papers between 1988 and 2024.

Collaborative distances:

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

2024

Formalising Anti-Discrimination Law in Automated Decision Systems.

Holli Sargeant, Måns Magnusson

CoRR, 2024

The Swedish Parliament Corpus 1867 - 2022.

Väinö Aleksi Yrjänäinen, Fredrik Mohammadi Norén, Robert Borges, Johan Jarlbrink, Lotta Åberg Brorsson, Anders P. Olsson, Pelle Snickars, Måns Magnusson

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

The Cambridge Law Corpus: A Corpus for Legal AI Research.

Andreas Östling, Holli Sargeant, Huiyuan Xie, Ludwig Bull, Alexander Terenin, Leif Jonsson, Måns Magnusson, Felix Steffek

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Probabilistic Embeddings with Laplacian Graph Priors.

Väinö Yrjänäinen, Måns Magnusson

CoRR, 2022

2021

Rapid mixing in unimodal landscapes and efficient simulatedannealing for multimodal distributions.

Johan Jonasson, Måns Magnusson

CoRR, 2021

2020

DOLDA: a regularized supervised topic model for high-dimensional multi-class regression.

Måns Magnusson, Leif Jonsson, Mattias Villani

Comput. Stat., 2020

Effects of Deep Brain Stimulation on Postural Control in Parkinson's Disease.

Mitesh Patel, Maria H. Nilsson, Stig Rehncrona, Fredrik Tjernström, Måns Magnusson, Rolf Johansson, Per-Anders Fransson

Comput. Biol. Medicine, 2020

Loqusdb: added value of an observations database of local genomic variation.

Måns Magnusson, Jesper Eisfeldt, Daniel Nilsson, Adam Rosenbaum, Valtteri Wirta, Anna Lindstrand, Anna Wedell, Henrik Stranneheim

BMC Bioinform., 2020

Multivariate Analysis of Orthogonal Range Searching and Graph Distances.

Karl Bringmann, Thore Husfeldt, Måns Magnusson

Algorithmica, 2020

Robust, Accurate Stochastic Optimization for Variational Inference.

Akash Kumar Dhaka, Alejandro Catalina, Michael Riis Andersen, Måns Magnusson, Jonathan H. Huggins, Aki Vehtari

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Sparse Parallel Training of Hierarchical Dirichlet Process Topic Models.

Alexander Terenin, Måns Magnusson, Leif Jonsson

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Leave-One-Out Cross-Validation for Bayesian Model Comparison in Large Data.

Måns Magnusson, Aki Vehtari, Johan Jonasson, Michael Riis Andersen

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Pólya Urn Latent Dirichlet Allocation: A Doubly Sparse Massively Parallel Sampler.

Alexander Terenin, Måns Magnusson, Leif Jonsson, David Draper

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Bayesian leave-one-out cross-validation for large data.

Måns Magnusson, Michael Riis Andersen, Johan Jonasson, Aki Vehtari

Proceedings of the 36th International Conference on Machine Learning, 2019

Interpretable Word Embeddings via Informative Priors.

Miriam Hurtado Bodell, Martin Arvidsson, Måns Magnusson

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Scalable and Efficient Probabilistic Topic Model Inference for Textual Data.

Måns Magnusson

PhD thesis, 2018

Multivariate Analysis of Orthogonal Range Searching and Graph Distances Parameterized by Treewidth.

Karl Bringmann, Thore Husfeldt, Måns Magnusson

CoRR, 2018

2017

Pulling Out the Stops: Rethinking Stopword Removal for Topic Models.

Alexandra Schofield, Måns Magnusson, David M. Mimno

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

2016

MultiQC: summarize analysis results for multiple tools and samples in a single report.

Philip Ewels, Måns Magnusson, Sverker Lundin, Max Käller

Bioinform., 2016

Automatic Localization of Bugs to Faulty Components in Large Scale Software Systems Using Bayesian Classification.

Leif Jonsson, David Broman, Måns Magnusson, Kristian Sandahl, Mattias Villani, Sigrid Eldh

Proceedings of the 2016 IEEE International Conference on Software Quality, 2016

2003

Postural control adaptation during galvanic vestibular and vibratory proprioceptive stimulation.

Per-Anders Fransson, Anna Hafström, Mikael Karlberg, Måns Magnusson, Annika Tjäder, Rolf Johansson

IEEE Trans. Biomed. Eng., 2003

2002

Analysis of short- and long-term effects of adaptation in human postural control.

Per-Anders Fransson, Fredrik Tjernström, Anna Hafström, Måns Magnusson, Rolf Johansson

Biol. Cybern., 2002

2001

Identification of adaptation in human postural control using GARCH models.

Rolf Johansson, Per-Anders Fransson, Måns Magnusson

Proceedings of the 40th IEEE Conference on Decision and Control, 2001

1995

Galvanic vestibular stimulation for analysis of postural adaptation and stability.

Rolf Johansson, Måns Magnusson, Per-Anders Fransson

IEEE Trans. Biomed. Eng., 1995

1988

Identification of human postural dynamics.

Rolf Johansson, Måns Magnusson, Micael Akesson

IEEE Trans. Biomed. Eng., 1988