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Talks & Slides.

Selected Talks.

2020.
Invited Lecture on »Causal Models under Variable Transformations – Challenges for Causally Consistent Representation Learning« at the ETH Zurich, Switzerland / slides
2020.
Keynote on Causal Inference at the Lviv Data Science Summer School Online / slides / recording
2019.
Invited tutorial on »Statistical Causal Modelling in Cognitive Computational Neuroscience« at the 2019 Conference on Cognitive Computational Neuroscience (CCN), Berlin, Germany; jointly organised and taught with D Janzing / slides / recording

More Talks and Meetings.

2022.
ETH-UCPH-TUM Workshop on Graphical Models
2022.
BIRS Workshop on »Combining Causal Inference and Extreme Value Theory in the Study of Climate Extremes and their Causes« at the Banff International Research Station
2021.
Invited speaker for the session »Recent Advances on Causal Inference and Mediation Analysis« at JSM 2021
2020.
Guest lecture on »Reflections on Causal Inference — How to tackle Causal Questions« at the IT University of Copenhagen, Denmark
2020.
Global Excellence Seminar »Causal Inference in neuroimaging«, Danish Research Centre for Magnetic Resonance (DRCMR), Copenhagen, Denmark / slides
2019.
NeurIPS Causality 4 Climate competition – winning team presentation remotely at NeurIPS 2019, Vancouver, Canada / slides / recording
2019.
Talk on »Pragmatic Causal Modelling and Variable Transformations« at the Copenhagen Causality Lab (CoCaLa), University of Copenhagen, Copenhagen, Denmark
2019.
Talk on »Causal Consistency of SEMs & Causal Models as Posets of Distributions« at the Oberwolfach Workshop »Foundations and New Horizons for Causal Inference«, Mathematical Research Institute of Oberwolfach (MFO), Germany
2017.
»An introduction to the different causal frameworks in neuroimaging« at the International Workshop on Pattern Recognition in Neuroimaging (PRNI), Toronto, Canada / slides
2017.
Talk on »Bridging the Gap: Causality in the Wild« at the Institute for Machine Learning, ETH Zurich, Zurich, Switzerland
2017.
Talk on »Bridging the Gap: Causal Inference in Neuroimaging« at the Division of Clinical Psychiatry Research, University of Zurich, Zurich, Switzerland, Host: DR Bach
2016.
Talk on »How to obtain causal hypotheses from neuroimaging studies« at the symposium »What Neuroimaging Can Tell Us? From Correlation to Causation and Cognitive Ontologies«, also with C Herrmann, M Lindquist, and R Poldrack, at the annual meeting of the Organization for Human Brain Mapping (OHBM), Geneva, Switzerland / slides / recording
2016.
Conference talk on »Recovery of non-linear cause-effect relationships from linearly mixed neuroimaging data« at the International Workshop on Pattern Recognition in Neuroimaging (PRNI), Trento, Italy / slides
2015.
Talk on »Causal interpretation rules for encoding and decoding models in neuroimaging« at the LIINC Group, Columbia University, New York, USA, Host: P Sajda / slides
2015.
Talk on »Causal interpretation rules for encoding and decoding models in neuroimaging« at the Poldrack Lab, Stanford University, Stanford, USA, Host: R Poldrack / slides
2015.
Talk on »Causal interpretation rules for encoding and decoding models in neuroimaging« at the FMRIB Analysis Group, Oxford University, Oxford, UK, Host: S Smith / slides
2015.
Talk on »Causal interpretation rules for encoding and decoding models in neuroimaging« at the Uncertainty in Artificial Intelligence (UAI) Workshop »Advances in Causal Inference«, Amsterdam, Netherlands / slides
2014.
Conference talk on »Causal and anti-causal learning in pattern recognition for neuroimaging« at the International Workshop on Pattern Recognition in Neuroimaging (PRNI), Tübingen, Germany
2014.
Conference talk on our best student paper »Decoding index finger position from EEG using random forests« at the International Workshop on Cognitive Information Processing (CIP), Copenhagen, Denmark
Imprint & Credits