ELLIS Unit Copenhagen

The ELLIS Unit Copenhagen is founded by researchers from University of Copenhagen (KU), the Technical University of Denmark (DTU) and the IT University of Copenhagen (ITU) with the purpose of contributing to fulfilling the European Laboratory for Learning and Intelligent Systems (ELLIS) mission of:

Strengthening basic AI research in Europe and thereby contributing to creating job and economic growth in Europe.

The unit will take part in ELLIS activities - workshops, PhD and postdocs programs, research programs and innovation encourage collaboration between the three participating universities and organise local activities for MSc and PhD students, postdocs, researchers and industry in the greater Copenhagen area.

ELLIS Unit Copenhagen

News & Events

NEWS

ELLIS NLP Fellow Program

Isabelle Augenstein and Barbara Plank from the ELLIS CPH unit are part of ELLIS’ new Natural Language Processing (NLP) fellow program. The goal of this fellow program is to move the needle in modern AI, thus allowing Europe to shape the technological and social AI revolution in specific fields, by facilitating collaborations across the leading European NLP labs.

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EVENT

Official launch of ELLIS Units

The European Laboratory for Learning and Intelligent Systems (ELLIS) is officially launching its 30 ELLIS research units on Tuesday, September 15. Since the first 17 units were announced in December 2019, the ELLIS initiative has gained significant momentum, adding another 13 units at top research institutions across Europe. To highlight this rapid progress toward securing the future of European AI research, each unit will be presenting its research focus.

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SEMINARS

AI Seminars Series

The AI seminar series highlights advances and challenges in research within Machine Learning, Data Science, and AI. Like the AI Centre itself, the seminar series will have a broad scope, covering both new methodological contributions, ground-breaking applications, and impacts on society.

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Event

Advanced Topics in Machine Learning: Machine Learning and Human Cognition

The course consists of five days of lectures and exercises. The lectures will cover theoretical aspects such as Bayesian optimization, active learning, causality and reinforcement learning as well as their connections to human cognition.

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Event

Generative Models and Uncertainty Quantification (GenU 2019)

Generative models and uncertainty quantification lie at the heart of Bayesian modelling and inference. At this small meeting, we discuss recent developments within the field. The meeting is deliberately kept small in order to ensure that discussion remains honest, lively and interesting.

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Recent Publications

Contact ELLIS Unit Copenhagen board
 

Name Position email
Ole Winther Head, Professor, KU and DTU olwi@dtu.dk
Lars Kai Hansen Professor, DTU lkai@dtu.dk
Christian Igel Professor, KU igel@di.ku.dk
Sebastian Risi Professor, ITU sebr@itu.dk

ELLIS Unit Copenhagen Faculty

  • Isabelle Augenstein, Associate professor, KU
  • Leon Derczynski, Assistant professor, ITU
  • Søren Hauberg, Professor, DTU
  • Morten Mørup, Professor, DTU
  • Jonas Martin Peters, Professor, KU
  • Barbara Plank, Associate professor, ITU
  • Yevgeny Seldin, Associate professor, KU

ELLIS Unit Copenhagen Members

  • Maria Barrett, Postdoc, ITU
  • Wouter Boomsma, Associate Professor, KU
  • Sami Brandt, Associate Professor, ITU
  • Line Harder Clemmesen, Associate Professor, DTU
  • Leon Derczynski, Assistant Professor , ITU
  • Desmond Elliott, Assistant professor, KU
  • Aasa Feragen, Professor, DTU
  • Jes Frellsen, Associate Professor, DTU
  • Fabian Gieseke, Assistant Professor , KU
  • Dan Witzner Hansen, Associate Professor, ITU
  • Rune Møller Jensen, Associate Professor, ITU
  • Oswin Krause, Assistant professor, KU
  • Anders Krogh, Professor, KU
  • Christina Lioma, Professor, KU
  • Mads Nielsen, Professor, KU
  • Mikkel Nørgaard Schmidt, Associate Professor, DTU
  • Anders Søgaard, Professor, KU