The research assistant from Prof. Markus Lange-Hegermann's working group "Mathematics and Data Science" presented the paper entitled "Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations" to the very interested audience at a poster session. It will be published shortly in the NeurIPS conference proceedings.
In addition, a small selection of participants of the workshop "Gaussian Processes, Spatiotemporal Modeling, and Decision-Making Systems" had the opportunity to present their work to the other workshop participants. Andreas Besginow was one of them and presented his workshop contribution in a 15-minute talk.
"It was an impressive and enriching experience to get into discussion with all these scientists and to learn about their research and what problems they are tackling," says Andreas Besginow, who visibly enjoyed the exchange with renowned scientists.
About NeurIPS:
The Conference on Neural Information Processing Systems (NeurIPS) is one of the largest and most prestigious conferences in the field of Artificial Intelligence, with a CORE ranking of A*. This year over 9,600 papers were submitted, of which just over 2,900 were accepted, in addition to submissions for workshops and datasets and benchmarks, resulting in over 10,000 participants in attendance. In addition, there were over 3,000 virtual participants. In addition, a wide range of exhibitors were present, including well-known companies such as DeepMind, Meta and Amazon. For more information, please visit: NeurIPS 2022.