Fredrik Lindsten

Senior Associate Professor, Head of Division, Head of Unit

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

2023

Johannes Varga, Emil Karlsson, Günther R. Raidl, Elina Rönnberg, Fredrik Lindsten, Tobias Rodemann (2023) Speeding Up Logic-Based Benders Decomposition by Strengthening Cuts with Graph Neural Networks Machine Learning, Optimization, and Data Science, p. 24-38

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Joel Oskarsson, Sidén Per, Fredrik Lindsten (2023) Temporal Graph Neural Networks for Irregular Data Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, p. 4515-4531

Amirhossein Ahmadian, Fredrik Lindsten (2023) Enhancing Representation Learning with Deep Classifiers in Presence of Shortcut Proceedings of IEEE ICASSP 2023

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Amanda Olmin, Jakob Lindqvist, Lennart Svensson, Fredrik Lindsten (2023) Active Learning with Weak Supervision for Gaussian Processes Neural Information Processing 29th International Conference, ICONIP 2022, Virtual Event, November 22–26, 2022, Proceedings, Part V, p. 195-204

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2022

Joel Oskarsson, Per Sidén, Fredrik Lindsten (2022) Scalable Deep Gaussian Markov Random Fields for General Graphs Proceedings of the 39th International Conference on Machine Learning, p. 17117-17137

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

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

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

Senior Associate Professor

Filip Ekström Kelvinius

PhD student

Hariprasath Govindarajan

Anders Grimvall

Ann-Charlotte Hallberg

Lecturer

Isak Hietala

Lecturer

Woodrow Hao Chi Kiang

Adjunct Associate Professor, Docent

Senior Associate Professor, Head of Unit

Jolanta Pielaszkiewicz

Associate Professor

Dong Qian

Postdoc

Héctor Rodriguez Déniz

Lecturer

Oleg Sysoev

Senior Associate Professor

Associate Professor, Docent

About the Department

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.

Fredrik Lindsten

Publications

2023

2022

Research

WASP at Department of Computer and Information Science (IDA)

News

Among the world’s 36 best in machine learning

About the Division

The Division of Statistics and Machine Learning (STIMA)

Staff at STIMA

About the Department

Department of Computer and Information Science (IDA)

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