Learning Dynamical Laws from Data
Hosted By
Carsten L. and 2 others
Details
Recent advances in machine learning have spurred hopes of displacing or enhancing the process of scientific discovery by inferring natural laws directly from observational data.
We are excited to have Niki Kilbertus, professor for Ethics in Systems Design and Machine Learning at TU Munich, speaking at the DKFZ.
During his talk, he will illuminate the current methodology, which allows learning dynamical laws (such as the law of gravity) from observational data.
We hope to see you there, learning with us about the latest methodologies to unravel the mysteries of nature.
For more info go to:
COVID-19 safety measures
COVID-19 vaccination required
Event will be indoors
The event host is instituting the above safety measures for this event. Meetup is not responsible for ensuring, and will not independently verify, that these precautions are followed.
heidelberg.ai
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Deutsches Krebsforschungszentrum
Im Neuenheimer Feld 280, 69120 Heidelberg · Heidelberg
Learning Dynamical Laws from Data