ELLIIT Focus period #2
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, a 3-day workshop will be held with invited top-level scientists.
ELLIIT Hybrid AI Symposium
October 31 – November 2, 2022
Confirmed speakers
Tamer Başar, The University of Illinois at Urbana-Champaign
Hector Geffner, Universitat Pompeu Fabra
Marco Lübbecke, RWTH Aachen University
Michela Milano, University of Bologna
Panos M. Pardalos, University of Florida
Luc de Raedt, KU Leuven
Ben Recht, Berkeley
Dolores Romero Morales, Copenhagen Business School
Louis-Martin Rousseau, Polytechnique Montréal
Daniela Rus, MIT
Marc Schoenauer, Inria
Neil Yorke-Smith, TU Delft
Scientific committee
Tamer Başar, The University of Illinois at Urbana-Champaign
Hector Geffner, Universitat Pompeu Fabra
Marco Lübbecke, RWTH Aachen University
Michela Milano, University of Bologna
Richard M. Murray, Caltech
Panos M. Pardalos, University of Florida
Luc de Raedt, KU Leuven
Anders Rantzer, Lund University
Ben Recht, Berkeley
Dolores Romero Morales, Copenhagen Business School
Louis-Martin Rousseau, Polytechnique Montréal
Daniela Rus, MIT
Marc Schoenauer, Inria
Lieven Vandenberghe, UCLA
Neil Yorke-Smith, TU Delft
Organizing committee
Anders Hansson, Linköping University
Fredrik Heintz, Linköping University
Tove Kvarnström, Linköping University (contact: tove.kvarnstrom@liu.se)
Elina Rönnberg, Linköping University