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Fredrik Lindsten

Senior Associate Professor, Head of Division

I am developing tools that can be used to extract valuable information from complex data sets. I am particularly interested in methods that can quantify and enable reasoning about the uncertainty associated with essentially all data.

I am an Associate Professor at the Division of Statistics and Machine Learning, Linköping University, Sweden.

I am interested in the interplay between statistics and machine learning, in particular how statistical methodology can be used to quantify and reason about the uncertainties in the predictions and decisions made by machine learning systems.
 

For more information, please see my external web page.

Publications

2024

Amanda Olmin, Jakob Lindqvist, Lennart Svensson, Fredrik Lindsten (2024) On the connection between Noise-Contrastive Estimation and Contrastive Divergence
Filip Ekström Kelvinius, Fredrik Lindsten (2024) Discriminator Guidance for Autoregressive Diffusion Models Proceedings of The 27th International Conference on Artificial Intelligence and Statistics, p. 3403-3411
Amirhossein Ahmadian, Yifan Ding, Gabriel Eilertsen, Fredrik Lindsten (2024) Unsupervised Novelty Detection in Pretrained Representation Space with Locally Adapted Likelihood Ratio International Conference on Artificial Intelligence and Statistics 2024, Proceedings of Machine Learning Research

2023

Jakob Lindqvist, Amanda Olmin, Lennart Svensson, Fredrik Lindsten (2023) Generalised Active Learning With Annotation Quality Selection IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP) Continue to DOI
Pierre Glaser, David Widmann, Fredrik Lindsten, Arthur Gretton (2023) Fast and Scalable Score-Based Kernel Calibration Tests Thirty-Ninth Conference on Uncertainty in Artificial Intelligence: PMLR 216

Research

robot dog Spot, drone, small helicopter, operator

WASP at Department of Computer and Information Science (IDA)

WASP, Wallenberg AI autonomous systems and software program, is the largest individual research investment in Sweden in modern times. One of the WASP research environments at LiU is located at the Department of Computer and Information Science.

News

Anna Wigren and Fredrik Lindsten

Among the world’s 36 best in machine learning

Fredrik Lindsten and his PhD student Anna Wigren have been chosen among stiff competition to present results at the world’s most prestigious conference in machine learning. One application of their algorithms is to understand how diseases spread.

About the Division

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The Division of Statistics and Machine Learning (STIMA)

The STIMA division is part of the Department of Computer and Information Science. The research and teaching activities are focused on modern data analysis and the division hosts the international master's programme in Statistics and Machine Learning.

Staff at STIMA

Photo of Amirhossein Ahmadian
Amirhossein Ahmadian
PhD student
Photo of Johan Alenlöv
Johan Alenlöv
Lecturer
Photo of Sourabh Balgi
Sourabh Balgi
Photo of Krzysztof Bartoszek
Krzysztof Bartoszek
Senior Associate Professor
Photo of Jonas Bjermo
Jonas Bjermo
Postdoc
Photo of Bayu Brahmantio
Bayu Brahmantio
PhD student
Photo of Gabriel Ducrocq
Gabriel Ducrocq
Postdoc
Photo of Filip Ekström Kelvinius
Filip Ekström Kelvinius
PhD student
Photo of Hariprasath Govindarajan
Hariprasath Govindarajan
Anders Grimvall
Photo of Ann-Charlotte Hallberg
Ann-Charlotte Hallberg
Lecturer
Photo of Isak Hietala
Isak Hietala
Lecturer
Woodrow Hao Chi Kiang
PhD student
Samuel Matthiesen
Postdoc
Photo of Frank Miller
Frank Miller
Professor, Head of Unit
Photo of Shashi Nagarajan
Shashi Nagarajan
Anders Nordgaard
Adjunct Associate Professor, Docent
Photo of Amanda Olmin
Amanda Olmin
PhD student
Photo of Joel Oskarsson
Joel Oskarsson
PhD student
Photo of Jose M Pena
Jose M Pena
Senior Associate Professor, Head of Unit
Photo of Jolanta Pielaszkiewicz
Jolanta Pielaszkiewicz
Associate Professor
Dong Qian
Postdoc
Photo of Héctor Rodriguez Déniz
Héctor Rodriguez Déniz
Lecturer
Photo of Oleg Sysoev
Oleg Sysoev
Senior Associate Professor
Photo of Annika Tillander
Annika Tillander
Associate Professor
Photo of Bertil Wegmann
Bertil Wegmann
Associate Professor
Photo of Josef Wilzén
Josef Wilzén
Lecturer
Linda Wänström
Associate Professor, Docent

About the Department

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Department of Computer and Information Science (IDA)

The Department of Computer and Information Science is one of the largest departments in northern Europe in its field. Research activity covers artificial intelligence, human-computer interaction, software and computer systems, and data science.

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