Invited Talks and Panels


Scientific Conferences and Meetings



"A Short Tutorial on AI, Deep Learning, and Probabilistic Circuits", High Performance Computing in Hessen (HiPerCH), Darmstadt, spring 2019.

"Deep Machines That Know When They Do Not Know", Computer Science Colloquium, University of Hamburg, spring 2019.
"Deep Machines That Know When They Do Not Know", ZIH Colloquium, TU Dresden, summer 2019.

"Deep Machines That Know When They Do Not Know", Human-Like Computing Third Wave of AI Workshop (3AI-HLC 2019), Imperial College, London, Uk, spring 2019.
"Towards Reproducibility in Machine Learning and AI", DFG conference on "Traceability and securing of results as essential challenges of research in the digital age", Berlin, spring 2019.

"Deep machines that know when they do not know and how to exploit symmetries for modelling and solving quadratic programs", 3rd ETAPS Workshop on Learning in Verification (LiVe), spring 2019.
"What is Artificial Intelligence?", Leibniz Convent on Artificial Intelligence, spring 2019.

"Deep Machines That Know When They Do Not Know", DINFO, University of Florence, spring 2019.
"What is Artificial Intelligence?", EFL Joint Spring Conference 2019 on AI in the Finanical Services Industry, spring 2019.

"The Automatic Data Scientist", Probabilistic Machine Learning Group, Aalto University, winter 2018.
"Systems AI: The computational and mathematical modeling of complex AI systems", Symposium about the beginnings, the present and the future of AI-research on the occasion of Wolfgang Bibel's 80th birthday, Darmstadt, winter 2018.

"Probabilistic Programming is great", 1st Conference on Probabilistic Programming (ProbProg), MIT, Boston, USA, fall 2018
"The Automatic Data Scientist: Making Data Science Easier using High-level Languages, Fractional Automorphisms, and Arithmetic Circuits ", Highlights of Logic, Games and Automata, Session on Logic and Learning, Berlin, fall 2018.

"Feeding the World with Big Data: Machines Uncover Spectral Characteristics and Dynamics of Stressed Plants": Plants and Animals: Bridging the Gap in Breeding Research 2018.
"Tractable Data Journalism using deep learning": "Plotting Poetry II: Bringing Deep Learning to Computational Poetry Analysis", 2018.

"Optimization for Advancing AI": Birds of a Feather "Artificial Intelligence and Performance Analysis/Optimization" at ISC High Performance 2018.
"Systems AI: Computational modeling of complex AI systems that learn and think": IJCAI-ECAI Workshop on "Learning and Reasoning" (L&R 2018)


"Relational Quadratic Programming": 14th International Conference on Integration of Artificial Intelligence and Operations Research Techniques in Constraint Programming (CPAIOR 2017)
"Declarative Data Science Programming": 25th Annual Machine Learning Conference of Belgium and The Netherlands (BeneLearn 2016)

"Collective Attention on the Web": 19th International Conference on Discovery Science (DS 2016)
"Declarative Programming for Statistical ML": The 2016 Machine Learning Confrence (MLconf 2016 Seattle)

"Democratization of Optimization": 14th Conference of the Italian Association for Artificial Intelligence (AI*IA 2015)
"Collective Attention on the Web": Winter Conference on Network Science (NetSci-X 2016)

"Lifted Probabilistic Inference": Frontiers in AI Track of the 20th European Conference on Artificial Intelligence (ECAI 2012)
"Increasing Representational Power and Scaling Inference in Reinforcement Learning": 9th European Workshop on Reinforcement Learning (EWRL 2011)

"Probabilistic Logic Learning and Reasoning": 14th Annual Machine Learning Conference of Belgium and the Netherlands (BeneLearn 2005)

"Thinking Machine Learning": NIPS 2016 Workshop on Neurorobotics: A Chance for New Ideas, Algorithms and Approaches
"Declarative Data Science Programming": Software Engineering and Machine Learning Workshop at the 10th Heinz Nixdorf Symposium 2016
"Lifted Machine Learning": International School on Human-Centred Computing (HCC 2016)
"Collective Attention on the Web": International School and Conference on Network Science (NetSci-X 2016)
"Democratization of Optimization" AAAI 2016 Workshop on Declarative Learning Based Programming (DeLBP 2016)
"Democratization of Optimization": 5th International Workshop on Statistical Relational AI (StarAI 2015)
"Democratization of Optimization": IJCAI 2015 Invited Sister Conference Presentations ML Track
"Poisson Dependency Networks": 2nd International Workshop on Mining Urban Data (MUD 2015)
"High Throughout Phenotyping: A Big Data Mining Challenge": 3rd Brazilian-German Frontiers of Science and Technology Symposium (BRAGFOST 2012)
"High Throughout Phenotyping: A Big Data Mining Challenge": Lernen, Wissen, Adaptivität (LWA 2012)
"From Lifted Probabilistic Inference to Lifted Linear Programming": 7th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2011)
"Statistical Relational Artificial Intelligence": 5th Sino-German Frontiers of Science Symposium (SINOGFOS 2012)
"From Lifted Probabilistic Inference to Lifted Linear Programming": 7th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2012)
"Perception and Prediction Beyond the Here and Now": 2nd International Workshop on Mining Ubiquitous and Social Environments (MUSE 2011)
"Lifted Message Passing": 6th International Workshop onNeural-Symbolic Learning and Reasoning (NeSys 2010)
"Lifted Message Passing": International Workshop on Graphical Models in Robotics (GraphBot 2010)
"Relations and Probabilities: Friends, not Foes": Lernen, Wissen, Adaptivität (LWA 2009)
"Probabilistic Logic Learning and Reasoning": 14th Annual Machine Learning Conference of Belgium and the Netherlands (BeneLearn 2005)


Other Meetings such as Meetups, Industry and Public Meetings



"Künstliche Intelligenz: Wann kontrollieren die Maschinen unser Leben? "Stunde der Wahrheit" of the Hessen Ministry for Higher Education, Research and the Arts. Bensheim, fall 2019
"Künstliche Intelligenz", Podcast "Hessen schafft Wissen", fall 2019
"Machines can learn our moral compass", Bad Homburg Conferene — "Künstliche Intelligenz: Wie können wir Algorithmen vertrauen?", Exzellenzcluster Normative Orders, fall 2019

"Maschinelles und Tiefes Lernen sind der Motor für 'KI made in Germany'": Jahreskonferenz der BMBF Plattform "Lernende Systeme", Berlin, summer 2019
"A Short History of Artificial Intelligence, Machine Learning, and Deep Learning": Public series of lectures on "Was stackt dahinter?", Darmstadt, summer 2019
"What is AI? And why is calibration central to AI?": Debating the ‘update-mode’, Munich Center for Technology in Society, summer 2019

"Towards Reproducibility in Machine Learning and AI": Second Annual Merck Data Science & Analytics Days, Frankfurt, spring 2019
"What is Artificial Intelligence and can it improve cardiac care?": 25th Friederger Symposium, Bad Nauheim, spring 2019
"Deep Machines That Know When They Do Not Know": Prof. Dr. Nhan, Secretary of the Ho Chi Minh City Party Committee, visiting the TU Darmstadt, spring 2019

"Deep Probabilistic Programming (for Healthcare)": Machine Learning in Healthcare - an IQVIA Meet-up, Frankfurt, spring 2019
"Can we teach morality to machines?": Union Investment Wissenschaftsdialog, Frankfurt, spring 2019
"The Third Wave of AI": ABB and Phoenix Contact, Ladenburg, spring 2019

"A Short History of Artificial Intelligence, Machine Learning, and Deep Learning": VDE Verband der Elektrotechnik Elektronik Informationstechnik e.V., Rhein-Main, Jahreshauptversammlung, spring 2019
"A Short History of Artificial Intelligence, Machine Learning, and Deep Learning": VCI Verband der chemischen Industrie e.V., AK Digitalisierung, fall 2018
"A Short History of Artificial Intelligence, Machine Learning, and Deep Learning": VDE Verband der Elektrotechnik Elektronik Informationstechnik e.V., Rhein-Main, Vortragsreihe Informations- und Kommunikationstechnologie, fall 2018

"The Automated Data Scientist": Cologne AI and Machine Learning Meetup, fall 2018
"A Short History of Artificial Intelligence, Machine Learning, and Deep Learning": Stadtsparkasse Darmstadt, fall 2018
"Made in Germany – Lernende Systeme als Standortvorteil von morgen": BMBF, Expert Stage, CEBIT 2018"

"The Automated Data Scientist": 2nd Jaenaer Data Science Day 2018"
"Tractable Data Journalism": SciCAR - Where Science Meets Computer Assisted Reporting 2017
"Journalist plus Wissenschaftler: Dreamteam für post fact checking": nr.Jahreskonferenz 2017

"Datensammeln: Messies oder der Sieg der Induktion?": Stadtgespräche im Musuem 2017
"Thinking Data Science Machines":
Distinguished Lecturer Series, Jena, 2017

"Modelling Traffic Counts":
GCRI, New York, 2016

"Populisten, Autokraten, Despoten-Wie wehrhaft ist unsere Demokratie?"

"Data Mining":
THINK BIG: nrvision.de

"Algorithmen-Wer kontrolliert die neuen Machthaber?": nr.Jahreskonferenz 2015


"Tractable Data Journalism": Berlin Machine Learning Meetup Group, October 2017
"Daten! Sind sie Leben?" Kneipengespräch der "Lust an Wissenschaft?" 2016 Serie der Mercator Global Young Faculty



Tutorials, Seminars and Training

"Sum-Product Networks: The Third Wave of Differentiable Programming", DeCoDe Workshop 2019, Frankfurt, Germany


"Statistical Relational AI", KI 2018, Berlin, Germany

"Deep Neural and Probabilistic Learning", KogWis 2018, Darmstadt, Germany

"Lifted Statistical ML: Computational modelling of complex AI systems that learn and think", ACAI 2018, Ferrara, Italy


"Statistical Relational Artificial Intelligence: Logic, Probability, and Computation", NIPS 2017

"Feeding the World with Big Data", Computational Sustainability Virtual Seminar Series, Cornell University, USA, fall 2017

Probabilistische Graphische Modelle, ACATECH Massiv Open Online Course on "Machine Learning", spring 2017


"Artificial Intelligence - Facts, Chances, Risks", Research Training Group of the German National Academic Scholarship Foundation 2017-18

"Was ist eigentlich Künstliche Intelligenz?", Children's university lecture, comprehensive school Gänsewinkel Schwerte, Germany, fall 2017

"Blade Runner und Künstliche Intelligenz": Schulkinowochen Hessen, spring 2019


"Tractable Probabilistic Graphical Models", 4th International Summer School on Resource-aware Machine Learning, Dortmund, 2017
"Statistical Relational Artificial Intelligence: Logic, Probability, and Computation", AAAI 2017
"Data-Diven Plant Phenotyping", PHENOMICS Workshop Berlin 2016
"Statistical Relational Artificial Intelligence: Logic, Probability, and Computation", HCC 2016
"60 Years of Artificial Intelligence - Where are we?", Summer Academy of the German National Academic Scholarship Foundation 2015
"Statistical (Relational) Learning and Lifted inference", MLSMA 2014
"Lifted Approximate Inference: Methods and Theory", AAAI 2014
"Combining Logic and Probability: Languages, Algorithms, and Applications", AAAI 2013
"Lifted Inference in Probabilistic Logical Models", IJCAI 2011
"Statistical Relational Learning", MLSS 2010
"First-order Planning", ICAPS 2008
"SRL without Tears: An ILP Perspective on SRL", ILP 2008
"Decision-Theoretic Planning and Learning in Relational Domains", AAAI 2008
"Probabilistic Inductive Logic Learning", ECMLPKDD 2005
"Probabilistic Inductive Logic Learning", IDA 2005
"Probabilistic Logic Learning", ICML 2004