The “DEEP LEARNING: Theory, Algorithms, and Applications” workshop series invites leading international scientists within the field to share recent and ongoing work as well as visions for the future.
Visual Intelligence’s advances in fundamental and applied deep learning research is gaining widespread attention and visibility.
Visual Intelligence’s advances in fundamental and applied deep learning research is gaining widespread attention and visibility.
In the summer of 2023, Visual Intelligence research was presented in two of the top venues within the field.
At the 2023 IEEE International Conference on Speech, Acoustics and Signal Processing (ICASSP), Visual Intelligence director Robert Jenssen gave a 3 hour tutorial on “Information Theory meets Deep Learning”. He gave the tutorial together with Professor Jose Principe, University of Florida, and Associate Professor Shujian Yu, Vriie Universiteit Amsterdam and UiT The Arctic University of Norway.
Director Jenssen also gave one of the invited keynote talks of the workshop “DEEP LEARNING: Theory, Algorithms and Applications” organized in Trento, Italy, June 21-23, 2023. The workshop was organized by Pierre Baldi, University of California, Irvine, USA, Tomaso Poggio, MIT, Boston, USA, Marc'Aurelio Ranzato, DeepMind, London, UK, Alessandro Sperduti, University of Padova, Italy, and Paolo Traverso, Fondazione Bruno Kessler, Trento, Italy.
Jenssen’s talk was entitled “On representation learning with information theoretic criteria and a new method for representation learning interpretability”. The main emphasis was on Visual Intelligence’s recently published method for interpreting features in input images to so-called representation learning systems. The new method, named “Relax” was published in the International Journal of Computer Vision in 2023 as a first of its kind, and has already gained attention and follow-up work from researchers in the wider deep learning community.
Of all the tutorials at ICASSP 2023, this tutorial had the highest number of attendees. The tutorial was composed of three parts. In part I, Principe laid out the fundamentals of statistical properties of information extraction focusing in particular on measures of entropy, divergence, and mutual information. In part II, Yu explained new information theoretic learning criteria developed by the team of presenters in the recent years. Finally, in part II, Jenssen showed examples of deep learning tasks, such as e.g. multi-view clustering, where the information theoretic approach to learning has been pursued.
Director Jenssen also gave one of the invited keynote talks of the workshop “DEEP LEARNING: Theory, Algorithms and Applications” organized in Trento, Italy, June 21-23, 2023. The workshop was organized by Pierre Baldi, University of California, Irvine, USA, Tomaso Poggio, MIT, Boston, USA, Marc'Aurelio Ranzato, DeepMind, London, UK, Alessandro Sperduti, University of Padova, Italy, and Paolo Traverso, Fondazione Bruno Kessler, Trento, Italy.
Jenssen’s talk was entitled “On representation learning with information theoretic criteria and a new method for representation learning interpretability”. The main emphasis was on Visual Intelligence’s recently published method for interpreting features in input images to so-called representation learning systems. The new method, named “Relax” was published in the International Journal of Computer Vision in 2023 as a first of its kind, and has already gained attention and follow-up work from researchers in the wider deep learning community.
María Castro Fernández is a PhD Candidate at the Research Institute of Applied Microelectronics at Universidad de Las Palmas de Gran Canaria, in Spain. She visited Visual Intelligence in Tromsø from January to June 2024.
AI tools wield enormous potential within the health sector. How do we ensure that such tools are safely implemented and used within this field? The event will take place on August 14th, 11:45-12:45 at Bankgården, Strandgaten 2-4.
Thea Brüsch is a PhD student at the Section for Cognitive Systems at the Technical University of Denmark (DTU). She visited the UiT Machine Learning Group from January to June 2024.
Visual Intelligence happily welcomes Lars Uebbing, who recently started as a doctoral research fellow at Visual Intelligence in Tromsø.
Det tar for lang tid å analysere bilder for å finne ut om en pasient har kreft i leveren. Nå har forskerne laget et system som gjør jobben mer effektivt (Norwegian news story).
We are happy to announce that a Visual Intelligence paper "The 3-billion fossil question: How to automate classification of microfossils" was featured in the scientific newspaper EurekAlert!
In the episode, Østmo was included in an Abels tårn expert panel to answer different questions about AI and deep learning.
Visual Intelligence organized a special curricular course on Generative AI at UiT The Arctic University of Norway this spring. The course covered Large Language Models, Generative AI for images, and Generative AI for audio.
Our sponsorship packages provide a number of benefits, such as registration and networking benefits for company employees, company and brand visibility, and more.
Associate professor and principal investigator Kristoffer Wickstrøm recently talked about a collaborative Visual Intelligence project between UiT and UNN on NRK Radio. The project aims to develop AI algorithms to detect liver cancer on CT images.
We congratulate Tollef Jahren for successfully defending his PhD thesis "Deep learning for detecting valvular events and suppressing reverberations in cardiac ultrasound" for the degree Philosophiae Doctor at Department of Informatics, University of Oslo.
.jpg)
Noen få tastetrykk er alt som skal til for å finne falske nakenbilder og videoer av norske kjendiser. – Ekstremt bekymringsfullt, sier KI-ekspert
Visual Intelligence congratulates Daniel Johansen Trosten for receiving the Dissertation Award of 2023 from Norwegian Artificial Intelligence Society (NAIS)!
Centre director Robert Jenssen represented Visual Intelligence at the marine conference Blått kompass.
The Visual Intelligence Graduate School (VIGS) recently gathered our Tromsø based researchers at Árdna - The Sami Cultural Center for a social event about exchange stays.
We congratulate professor Michael Kampffmeyer for receiving the "Early career investigator" award at the NORA Annual Awards!
Til tross for gode karakterer, søker svært få jenter seg til studier innen matematikk, naturfag og teknologi. En studie viser at det kan handle om lav selvtillit.
We invite submissions presenting new and original research on all aspects of Deep Learning for the Northern Lights Deep Learning Conference (NLDL) 2025.
I am eager to absorb knowledge from these experts and contribute to our collective understanding, says Filippo Bascetta, who is one of two new VI interns.
Listen to VI co-director Line Eikvil and research director Anders Løland (Norsk Regnesentral) talk about developments before and after the breakthrough of deep learning in the NR podcast, Sannsynligvis VIKTIG (Norwegian dialogue).