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ELLIS Unit Linz Team.


ELLIS Unit at the LIT AI Laboratory

Managed by Prof. Sepp Hochreiter, the LIT AI Lab was created as a permanent research center at the Linz Institute of Technology (LIT). The unique environment at the Johannes Kepler University (JKU) Linz is an opportunity for the LIT AI Lab to pool the JKU’s world-class expertise in artificial intelligence (AI) to shape and advance AI research and its industrial applications.

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

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

  • Deep Learning (Sepp Hochreiter)
  • Logical Reasoning (Martina Seidl)
  • Computational Perception (Gerhard Widmer)

The ELLIS Unit Linz is comprised of six ELLIS faculty members, including Martina Seidl, two ELLIS members Bernhard Nessler and Johannes Brandstetter, and three ELLIS fellows, Sepp Hochreiter, Gerhard Widmer and Johannes Fürnkranz, as well as ELLIS scholar Günter Klambauer. The ELLIS Unit Linz includes the recently established Institute of Advanced Research Artificial Intelligence, opens an external URL in a new window (IARAI) which is also part of the ELLIS PhD and PostDoc program, opens an external URL in a new window, educating ELLIS PhD candidates and providing a post-doctoral education program for some of the best junior 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

The LIT AI Lab/ ELLIS Unit Linz Seminar launched in the summer of 2021, bringing researchers and students interested in the field of Artificial Intelligence together. Click here to learn more.





N.N. 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. ELLIS aims to provide European researchers with outstanding opportunities to conduct their research in Europe, thereby supporting the next generation of junior European researchers in this strategically important field. The goal is to keep Europe competitive in the field of modern AI and benefit from a more positive economic and societal impact.

ELLIS' mission will benefit Europe in two ways:

  • We want to conduct high quality base-knowledge research in Europe, thereby enabling Europe to drive the direction of machine learning and modern AI and understand its global impact.
  • We want to create an economic impact and jobs in Europe, which we believe can be accomplished by independently conducting outstanding, base-knowledge research, aside from the interest of industries.

At the Conference on Neural Information Processing Systems (NeurIPS) on December 11, 2019 (a leading international conference on machine learning), ELLIS announced it would establish an initial 17 ELLIS units across 10 European countries and Israel. The recently established research units, centered around outstanding AI researchers, will address underlying AI challenges focusing on research excellence and social impact. An open call generated 28 proposals from 13 countries, each of which pledged local funding of a minimum of EUR 1.5 million per year for no less than five years, including 20% reserved for ELLIS activities such as student and faculty exchange and organizing joint ELLIS research programs and workshops. An international evaluation committee selected the 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 Zurich (ETH Zurich) based on proven scientific merit and implementing measures in line with the ELLIS mission. In an effort to avoid any conflicts of interest, all of the peer reviews were conducted by scientists and scholars from countries other than the targeted institutions. The list of ELLIS unit leaders 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..

Turing Laureate Geoffrey Hinton, Professor Emeritus at the University of Toronto, Engineering Fellow at Google, and one of the leading scientists in the field of artificial intelligence, states that: "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."

Several European companies have indicated their support for this initiative, including Audi, AVL, Bayer, Bosch, DeepMind, Greiner, Porsche, Siemens, as well as U.S. companies such as Amazon, Facebook, Google, NVIDIA, Qualcomm, and the Canadian startup Elemen.

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
poster session

Summer Semester 2023 - Final Poster Session by AI Master's Students on June 19, 2023

Over 20 theses by Master's degree students in the AI program at the Johannes Kepler University were presented on campus.

JKU Campus

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.