Seminar on Internet Technologies (Winter 2020 2021): Difference between revisions

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| [Yali Yuan, yali.yuan@cs.uni-goettingen.de]
| [Yali Yuan, yali.yuan@cs.uni-goettingen.de]
| [http://openaccess.thecvf.com/content_CVPR_2019/papers/Liang_Multi-Task_Multi-Sensor_Fusion_for_3D_Object_Detection_CVPR_2019_paper.pdf]
| [http://openaccess.thecvf.com/content_CVPR_2019/papers/Liang_Multi-Task_Multi-Sensor_Fusion_for_3D_Object_Detection_CVPR_2019_paper.pdf]
|-
| Physics-informed neural networks: Principles, Case studies, and Prospects
| In this project, you will be devoted to solving a specific problem using
physics-informed neural networks with a small set of experiment data,
which is different from big data driven machine learning. The idea of
using neural networks in the research field of Physics is nowadays more
and more significant. The student is expected to be interested in the
interdisciplinary subject of physics and computer science.
| Basic programming knowledge, Basic machine learning knowledge
| [Yunxiao Zhang, yunxiao.zhang@ds.mpg.de]
| [https://www.sciencedirect.com/science/article/pii/S0045782520305879?via%3Dihub]
|-
|-


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