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Most recent publications

L. Burchard, K. G. Hustad, J. Langguth and X. Cai

Enabling unstructured-mesh computation on massively tiled AI processors: An example of accelerating in silico cardiac simulation

Frontiers in Physics 11 (2023).
Journal Article
2023
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K. Langedal, J. Langguth, F. Manne and D. T. Schroeder

Efficient Minimum Weight Vertex Cover Heuristics Using Graph Neural Networks

In 20th International Symposium on Experimental Algorithms (SEA 2022). Vol. 233. Dagstuhl, Germany: Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2022.
Proceedings, refereed
2022
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A. Huber, D. T. Schroeder, K. Pogorelov, C. Griwodz and J. Langguth

A Streaming System for Large-scale Temporal Graph Mining of Reddit Data

In 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). Lyon, France: IEEE, 2022.
Proceedings, refereed
2022
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H. Straume, F. Asche, A. Oglend, E. B. Abrahamsen, A. M. Birkenbach, J. Langguth, G. Lanquepin and K. H. Roll

Impacts of Covid-19 on Norwegian salmon exports: A firm-level analysis

Aquaculture 561 (2022): 738678.
Journal Article
2022
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30 March 2023

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2023

Journal articles

L. Burchard, K. G. Hustad, J. Langguth and X. Cai

Enabling unstructured-mesh computation on massively tiled AI processors: An example of accelerating in silico cardiac simulation

Frontiers in Physics 11 (2023).
Status: Published
2022

Journal articles

J. Langguth, P. Filkukova, S. Brenner, D. T. Schroeder and K. Pogorelov

COVID-19 and 5G conspiracy theories: Long term observation of a digital wildfire

International Journal of Data Science and Analytics (2022).
Status: Published
H. Straume, F. Asche, A. Oglend, E. B. Abrahamsen, A. M. Birkenbach, J. Langguth, G. Lanquepin and K. H. Roll

Impacts of Covid-19 on Norwegian salmon exports: A firm-level analysis

Aquaculture 561 (2022): 738678.
Status: Published

Proceedings, refereed

A. Huber, D. T. Schroeder, K. Pogorelov, C. Griwodz and J. Langguth

A Streaming System for Large-scale Temporal Graph Mining of Reddit Data

In 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). Lyon, France: IEEE, 2022.
Status: Published
K. Langedal, J. Langguth, F. Manne and D. T. Schroeder

Efficient Minimum Weight Vertex Cover Heuristics Using Graph Neural Networks

In 20th International Symposium on Experimental Algorithms (SEA 2022). Vol. 233. Dagstuhl, Germany: Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2022.
Status: Published

Talks, invited

J. Langguth and L. Burchard

ML Accelerator Hardware: A Model for Parallel Sparse Computations?

In Siam ACDA, Aussois, France. Aussois: SIAM, 2022.
Status: Published
J. Langguth and L. Burchard

ML Accelerator Hardware: A Model for Parallel Sparse Computations?

In University of Vienna, Austria, 2022.
Status: Published
J. Langguth and K. Langedal

Efficient Minimum Weight Vertex Cover Heuristics using Graph Neural Networks

In University of Vienna, Austria, 2022.
Status: Published
2021

Journal articles

P. Filkukova and J. Langguth

An alternative correct answer to the Cognitive Reflection Test

Frontiers in Psychology 12 (2021).
Status: Published
P. Filkukova, P. Ayton, K. Rand and J. Langguth

What should I trust? Individual differences in attitudes to conflicting information and misinformation on COVID-19

Frontiers in Psychology 12 (2021).
Status: Published