Visual Intelligence publications are financially supported by the Research Council of Norway, through its Centre for Research-based Innovation funding scheme (grant no. 309439), and Consortium Partners. For the purpose of open access, the author has applied a CC BY public copyright license to any Author Accepted Manuscript (AAM) version arising from this submission.
Visual Intelligence publications are financially supported by the Research Council of Norway, through its Centre for Research-based Innovation funding scheme (grant no. 309439), and Consortium Partners. For the purpose of open access, the author has applied a CC BY public copyright license to any Author Accepted Manuscript (AAM) version arising from this submission.
At Visual Intelligence we work across our innovation areas to extract knowledge from large volumes of visual data more efficiently through automatic and intelligent data analysis. The work to address the core research challenges in deep learning: working with limited training data, utilizing context and dependencies, providing explainability, confidence and uncertainty, are important in all the innovation areas.
By authors:
Zhiyuan Wu, Changkyu Choi, Shujian Yu, Robert Jenssen, Ali Ramezani-Kebrya
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Transactions on Machine Learning Research (June/2026)
on
August 6, 2026
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Juan Esteban Suarez Cardona, Holger Boche, Gitta Astrid Hildegard Kutyniok
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BIT Numerical Mathematics, 66:40, 2026
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Mach Learn 115, 139 (2026)
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May 29, 2026
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Zoé Lemoine, Puneet Sharma, Kit M. Kovacs, Christian Lydersen, Marie-Anne Blanchet
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Scientific Data
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May 20, 2026
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Yang Bai, George Eskandar, Ziyuan Liu, Gitta Kutyniok
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ICASSP 2026 - 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, 2026, pp. 13242-13246
on
May 3, 2026
By authors:
Anna Emilie Jennow Wedenborg, Kristoffer Wickstrøm, Lars Kai Hansen, Morten Mørup, Teresa Dorszewski
Published in:
Proceedings of the 7th Northern Lights Deep Learning Conference (NLDL), PMLR 307:448-468, 2026.
on
May 1, 2026
By authors:
Karim Galliamov, Syed M Ahsan Kazmi, Adil Mehmood Khan, Adín Ramírez Rivera
Published in:
International Conference on Learning Representations (ICLR), 2026
on
April 23, 2026
By authors:
Gabriel Yanci Arteaga, Marius Aasan, Rwiddhi Chakraborty, Martine Hjelkrem Tan, Thalles Silva, Michael Kampffmeyer, Adín Ramírez Rivera
Published in:
International Conference on Learning Representations (ICLR) 2026
on
April 11, 2026
By authors:
Martine Hjelkrem-Tan, Marius Aasan, Rwiddhi Chakraborty, Gabriel Y. Arteaga, Changkyu Choi, Adín Ramirez Rivera
Published in:
CPVR 2026
on
March 31, 2026
By authors:
Christian Salomonsen, Luigi T. Luppino, Fredrik Aspheim, Kristoffer Wickstrøm, Elisabeth Wetzer, Michael Kampffmeyer, Rodrigo Berzaghi, Rune Sundset, Robert Jenssen & Samuel Kuttner
Published in:
EJNMMI Res 16, 65 (2026)
on
March 9, 2026