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ELLIS Unit Linz Team.


ELLIS Unit at the LIT AI Laboratory

The LIT AI Lab headed by Prof. Sepp Hochreiter was founded as a permanent research center of the Linz Institute of Technology (LIT). In the unique environment offered by the Johannes Kepler University (JKU) Linz, the LIT AI Lab bundles JKU’s world-class expertise in artificial intelligence (AI) for shaping and advancing AI research and its industrial applications.

The LIT Lab is committed to scientific excellence. Our focus is on theoretical and experimental research in machine learning, logical reasoning, and computational perception. We train the next generations of AI researchers and educate engineers at various academic levels in AI technology.

Created in 2017 as a permanent research institution, the LIT AI Lab started with three seed groups conducting core AI research:

  • Deep Learning (Sepp Hochreiter)
  • Logical Reasoning (current head Martina Seidl, 2017-2020 Armin Biere)
  • Computational Perception (Gerhard Widmer)

The ELLIS Unit Linz comprises nine ELLIS faculty members, including Martina Seidl and Theresa Roland, the two ELLIS members Bernhard Nessler and Johannes Brandstetter, and the four ELLIS fellows Sepp Hochreiter, Armin Biere, Gerhard Widmer and Johannes Fürnkranz, as well as ELLIS scholar Günter Klambauer. The ELLIS Unit Linz includes the recently founded Institute of Advanced Research Artificial Intelligence, opens an external URL in a new window (IARAI) that also contributes to the ELLIS PhD and PostDoc Programme, opens an external URL in a new window, educating ELLIS PhD students and providing post-doctoral training to the best young researchers in the field.

ELLIS Unit Linz


Johannes Kepler University Linz
Altenberger Straße 69
A-4040 Linz/Austria


Computer Science Building, Room S0309

Faculty members of ELLIS Unit Linz

LIT AI Lab/ ELLIS Unit Linz Seminar

In summer 2021 the LIT AI Lab/ ELLIS Unit Linz Seminar has kicked off, which shall bring together researchers and students interested in the field of Artificial Intelligence. Here you can find more information.




Telephone number

Mag. Doris Kaiserreiner ELLIS Manager +43 732 2468 9391
Jenny Joana Knauth, MA ELLIS Administration +43 732 2468 9390


At NeurIPS 2019 in Vancouver from left to right: Turing award winner Yoshua Bengio, Bernhard Schoelkopf, Nuria Olivier, Matthias Bethge, Max Welling, Sami Kaski, Sepp Hochreiter and Turing award winner Yann LeCun. ©https://ellis.eu/de/news/17-ellis-units-across-10-european-countries-and-israel-established

More about ELLIS

The European Laboratory for Learning and Intelligent systems (ELLIS) is a pan-European effort initiated in 2018 to foster European research excellence in machine learning and related fields. It aims to offer European researchers outstanding opportunities to carry out their research in Europe, and to nurture the next generation of European young researchers in this field of strategic importance. Its goal is to enable Europe to be competitive in modern AI and benefit from positive economic and societal impact.

ELLIS´ mission ist to benefit Europe in two ways:

  • We want the best basic research to be performed in Europe, to enable Europe to shape how machine learning and modern AI change the world.
  • We want to have economic impact and create jobs in Europe, and believe this is achieved by outstanding and free basic research, independent of industry interests.

On December 11th 2019 at the Conference on Neural Information Processing Systems (NeurIPS), the leading international conference on machine learning, ELLIS announced the establishment of the first 17 ELLIS units across 10 European countries and Israel. Built around outstanding AI researchers, the newly established research units are devoted to tackling fundamental challenges in AI with a focus on research excellence and societal impact. An open call resulted in 28 proposals from 13 countries, each of which committed local funding of at least 1.5 Mio € per year for at least five years, 20% thereof reserved for ELLIS network activities such as student and faculty exchanges and the organization of joint ELLIS research programs and workshops. Proposals from Alicante, Amsterdam, Copenhagen, Darmstadt, Delft, Freiburg, Helsinki, Linz (LIT AI Laboratory), Lausanne, Leuven, Oxford, Prague, Saarbrücken, Tel Aviv, Tübingen, Vienna (IST Austria) and Zürich (ETH Zürich) were selected by an international evaluation committee, based on proven scientific excellence and the implementation of measures to foster the ELLIS mission. To avoid conflicts of interest, all the reviews were done by scientists of countries different from the units being evaluated. The list of directors of ELLIS units includes European researchers such as Wolfram Burgard, Sepp Hochreiter, Thomas Hofmann, Sami Kaski, Nuria Oliver, Bernhard Schölkopf, Yee Whye Teh, Luc van Gool and Max Welling.

Geoffrey Hinton, Turing Award winner, Emeritus Professor of Computer Science at the University of Toronto, an engineering Fellow at Google and one of the leading scientists in AI, says: "Deep learning is at the core of the staggering progress we are witnessing in AI today. Companies such as Google, Facebook, Amazon, Apple and Microsoft are investing billions in developing this technology. If Europe wants to keep up with North America and China, it needs to focus its major AI investments on deep learning."

A number of European companies have already stated their support of this initiative, including Audi, AVL, Bayer, Bosch, DeepMind, Greiner, Porsche, Siemens as well as US companies such as Amazon, Facebook, Google, NVIDIA, Qualcomm and the Canadian startup Element AI.

Research - ELLIS against Covid-19


Large-scale ligand-based virtual screening for potential SARS-Cov-2 inhibitors using a deep neural network


  • Markus Hofmarcher
  • Andreas Mayr
  • Elisabeth Rumetshofer
  • Philipp Renz
  • Philipp Seidl
  • Andreu Vall
  • Michael Widrich
  • Sepp Hochreiter
  • Guenter Klambauer

Winner of the AI School of the Year at JKU Linz's AI Program

As part of the Federal Competition for Artificial Intelligence, or BWKI, which was organized by the Austrian Society for Artificial Intelligence…

Elise webinar

ELISE 2nd Open Call - Webinar 1

Are you excited to learn more about ELISE 2nd open call? Join our first webinar online!


ELLIS research programs: Two new proposals accepted

Great news! We are excited to announce that the proposals ‘Machine Learning for
Molecule Discovery’ and ‘Learning for Graphics and Vision’ have been…

Proteine werden von der AI als Input verwendet, um z.B. Andockstellen für Medikamente zu finden. Eine 3D-Struktur-Vorhersage eines Proteins würde wie auf dem Bild aussehen

The New ELLIS Program: The JKU Spearheads AI Molecular Research in Europe

Be it image recognition software, chatbots, or a browser’s search algorithm, self-learning systems are now an undeniable part of everyday life.

ELISE 2nd Open Call

ELISE 2nd Open Call for Applicants

ELISE calls out for the best Artificial Intelligence SMEs!


[Translate to Englisch:] Ellis Doctoral Symposium


AI for Good - The ELLIS Unit Linz is proud to announce the 2nd ELLIS Doctoral Symposium. The conference will take place between September 19 - 23,…


ELLIS Machine Learning for Molecule Discovery Workshop

The workshop will take place on December 13th, 2021 via Zoom.

Discovering new molecules with desired functions or activities is crucial for human…


Music Tower Blocks (EmoMTB) at Ars Electronica 2021

A city of music just the way you like it

Project Manager: Markus Schedl
Institute of Computational Perception / LIT AI Lab

Kepler´s Gardens
ELLIS Unit Linz

Start of LIT AI Lab/ ELLIS Unit Linz Seminar

First talk by Richard Küng, Institute for Integrated Circuits, Johannes Kepler University Linz

Lecture hall 19, SP3
ELLIS Unit Linz

Call for applications for the second ELLIS PhD Program

We are pleased to announce the second central call for applications for the ELLIS PhD Program. The ELLIS PhD Program is a core element of the ELLIS…

[Translate to Englisch:] ELISE calls out for the best AI startups and SMEs

ELISE is looking for top Artificial Intelligence start-up companies & SMEs!

ELISE, a network of artificial intelligence research hubs, is based on a high level research focused om disseminating its findings and expertise in…



Trusted Artificial Intelligence: Towards Certification of Machine Learning Applications


New paper

In our new paper, we identify and counter domain shifts in machine learning models for COVID-19 diagnosis from blood tests:


ELLIS Health online workshops

ELLIS Health online workshops


Deep Learning Workshop

Workshop für Studierende aller Fachrichtungen

Traunkirchen / OÖ

Inauguration of the ELLIS Units


Advanced Machine Learning for Innovative Drug Discovery-Projekt (AIDD)

The dramatic increase in using of Artificial Intelligence (AI) and machine learning methods in different fields of science becomes an essential asset…


6th ELLIS Online Workshop on Covid19

This online workshop will present projects on how to tackle Covid-19 using methods of machine learning and AI.


5th ELLIS Online Workshop on Covid19

This online workshop will present projects on how to tackle Covid-19 using methods of machine learning and AI.


4th ELLIS Online Workshop on Covid19

This online workshop will present projects on how to tackle Covid-19 using methods of machine learning and AI.


On failure modes of molecule generators and optimizer

On Failure Modes of Molecule Generators and Optimizers by Philipp Renz, Dries Van Rompaey, Jörg Kurt Wegner, Sepp Hochreiter, Günter Klambauer.



Modern Hopfield Networks and Attention for Immune Repertoire Classification

Publication by Institute for Machine Learning and LIT AI Lab in cooperation with Department of Immunology and Department of Informatic, University of…


3rd ELLIS Online Workshop on Covid19

This online workshop will present projects on how to tackle Covid-19 using methods of machine learning and AI.


2nd ELLIS Online Workshop on Covid19

This online workshop will present projects on how to tackle Covid-19 using methods of machine learning and AI.


1st ELLIS Online Workshop on Covid19

This online workshop will present projects on how to tackle Covid-19 using methods of machine learning and AI.