Jun.-Prof. Dr.-Ing. Stefan Lüdtke - head of the chair for Marine Data Science, will give a presentation on the topic
"Combining Mechanistic Models and Machine Learning for Digital Twins of the Ocean"
as part of the VAC Colloquium.
Afterwards we look forward to discussions while enjoying coffee and cookies.
The event is open to anyone interested.
Abstract:
Recently, deep learning methods have been extremely successful for domains like natural language processing or computer vision. However, such data-driven methods are still insufficient for domains where training data is scarce, like modeling and prediction of ecosystem dynamics. On the other hand, mechanistic models or simulation models are less dependent on large training data sets, but can be less flexible and accurate when the true system dynamics is not completely captured by the model. In this talk, I will give an overview of research efforts that aim to integrate these two modeling concepts. Specifically, I will present methods for utilizing simulation models for training data generation, knowledge distillation, and neuro-symbolic models. I will give some examples from our own research, including hybrid models for modeling ecosystem dynamics and sensor-based activity recognition.