Central German Mental Health Center

Kristian Kersting

Kristian Kersting

Kristian Kersting, Prof. Dr. rer. nat., Department of Computer Science and Centre for Cognitive Science, TUDa, and CMBB

Current position
Professor of Computer Science
Role within partner site
Representative Faculty, site coordinator DA

Relevant work experience
since 2020
Hessian Center for Artificial Intelligence, Co-Director
2020-2023
Horizon 2020 RIA TAILOR, Multicenter, Trustworthy AI, WP PI
2020-2023
BMWi SPAICER, Multicenter, AI and Machine Learning, WP PI
2020-2023
BMBF kompAKI, Competence Center on AI and Labour, WP PI
2019-2021
DFG RTG 1994, Deep Probabilistic Models, PI
2013-2017
DFG CRC 876, Resource-Constrained Data Analysis, WP PI

Professional background
since 2017
Full Professor of Computer Science (W3), TUDa
2013-2017
Associate Professor of Computer Science (W2), TU Dortmund
2012-2013
Assistant Professor (W1), Agricultural Dept., University of Bonn
2008-2012
ATTRACT Group Leader, Fraunhofer IAIS, St. Augustin
2007
Postdoctoral Associate, CS and AI Laboratory, MIT, USA
2006
Post-Doc, Department of Computer Science, Freiburg
2006
Dissertation, Dr. rer. nat., University of Freiburg
2000-2006
Research Assistant, Dept. of CS., University of Freiburg

Main research foci
  • Statistical Relational Artificial Intelligence
  • Deep (Probabilistic) Programming and Learning
  • Explainable Artificial Intelligence

Publications
  • Schramowski W,…, Kersting K (2020) Making deep neural networks right for the right scientific reasons by interacting with their explanations. Nature Machine Intelligence 2:476-486.
  • Peharz R, …, Kersting K, Ghahramani Z (2020). Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits. In Proceedings of the 37th International Conference on Machine Learning (ICML): 7017-7028.
  • Kersting K, Mladenov M, Tokmakov P (2017) Relational Linear Programming. Artificial Intelligence Journal 244:188-216.
  • De Raedt L, Kersting K, Natarajan S, Poole D (2016) Statistical Relational Artificial Intelligence: Logic, Probability, and Computation. Morgan & Claypool Publishers.
  • Hernandez-Lobato D, …, Kersting K, …, Quadrianto N (2014) Mind the nuisance: Gaussian process classification using privileged noise. In Proceedings of the 27th International Conference on Neural Information Processing Systems (NeurIPS), Vol.1, 837–845.

Additional information
2020
Program Committee Co-Chair of ECML PKDD
since 2020
Faculty of the ELLIS Unit Darmstadt
2019
Inaugural German AI Award
2019
Fellow of the Europ. Ass. for Artificial Intelligence (EurAI)
2019
Fellow of the Europ. Lab. for Learning & Intelligent Systems (ELLIS)
since 2019
External Member of the Research Council, Hamburg
since 2018
Member of the BMBF expert platform “Learning Systems”
since 2018
Founding EiC of Frontiers in Machine Learning and AI
2017
Program Committee Co-Chair of Uncertainty in AI (UAI)
2015
Best Paper, AAAI Conf. on AI & Interact. Digital Entert. (AIIDE)
2013
Program Committee Co-Chair of ECML PKDD
2006
Best Paper, Eur. Conf. on Machine Learning (ECML)
2006
Dissertation Award of the best European PhD thesis on AI