Focus Period Linköping 2022

Hybrid AI – Where data-driven and model-based methods meet

October 18 – November 18, 2022

Data-driven machine learning approaches have been very successful the last 10-15 years. At the same time there are many challenges such as how to deal abstract and causal aspects, how to make learning work with significantly less data like humans can do, and how to achieve robust systems which provides formal guarantees and interpretability. Traditional model- or knowledge-based methods are designed to deal with many of these issues, effectively dealing with generality, abstraction, and causality with strong formal guarantees. A current trend in AI and machine learning today is therefore how to combine these different approaches in a principled and effective way. This is often called Hybrid AI.

The purpose of the focus period for the fall of 2022 is to study techniques and methods for how to achieve Hybrid AI in two particular areas: A) Optimization for Learning and Learning for Optimization; and B) Statistical-Relational approaches to Planning, Control and Decision-making. Both strongly connect AI, control theory and optimization and there are also synergies between the two.

The focus period will run over 5 weeks, during which young international scholars, ELLIIT researchers and other well-established international academics will gather in Linköping to work together in these joint research challenges. In the middle of the period, between October 31st and November 2nd, a 3-day workshop will be held with invited top-level scientists.

Focus Period Workshop

Focus Period Workshop: Hybrid AI – Where data-driven and model-based methods meet: October 31 – November 2, 2022 at Scandic Frimurarehotellet, Linköping.

Program and more information

Keep track of all activities during the focus period via the ELLIIT Focus Period 2022: Hybrid AI – Where data-driven and model-based methods meet ICalendar:

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Call for Papers: Hybrid AI – Where data-driven and model-based methods meet

In connection with the focus period there will be a topical collection hosted by the Spinger journal Operations Research Forum. The main purpose of this topical collection is to encourage publications from interdisciplinary work initiated during the focus period, but other contributions addressing hybrid AI within the intersection between machine learning, optimisation and automatic control are also welcome.

Submission Deadline: March 15th, 2023

To Call for Papers

Scientific committee

The scientific committee consists of internationally renowned researchers, active within the topic of the focus period. The committee members, in collaboration with the organizers, suggest speakers for the workshop, and visiting scholars for the focus periods. The members of the scientific committee also contribute to the event as speakers during the workshop.

Tamer Başar

Professor at the University of Illinois Urbana-Champaign, USA

Hector Geffner

Professor at Universitat Pompeu Fabra (UPF), Spain

Marco Lübbecke

Professor at RWTH Aachen University, Germany

Michela Milano

Professor at the University of Bologna, Italy

Richard M. Murray

Professor at the California Institute of Technology, Caltech, USA

Panos M. Pardalos

Professor at the University of Florida, USA

Luc De Raedt

Professor at KU Leuven,
Belgium

Anders Rantzer

Professor at Lund University,
Sweden

Ben Recht

Associate Professor at University of California, Berkeley, USA

Dolores Romero Morales

Professor at Copenhagen Business School, Denmark

Louis-Martin Rousseau

Professor at École Polytechnique de Montréal, Canada

Marc Schoenauer

Senior Researcher and Deputy Research Director at Inria, France

Lieven Vandenberghe

Professor at the University of California, UCLA, USA

Neil Yorke-Smith

Associate Professor at TU Delft, Netherlands

Organizing committee

The organizing committee consists of researchers from the ELLIIT institutions and administrators. Their role is to appoint the scientific committee, select speakers and visiting scholars, plan the focus period activities, and serve as hosts during the event.