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A data-driven approach for lightning nowcasting with deep learning

Farhad Rachidi-Haeri, Marcos Rubinstein, Amirhossein Mostajabi, Pedram Pad, Seyed Mohammad Ehsan Mansouri Tehrani
2021
Conference Papers

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Farhad Rachidi-Haeri, Marcos Rubinstein, Amirhossein Mostajabi, Pedram Pad, Seyed Mohammad Ehsan Mansouri Tehrani
2021
Conference Papers

Official source

Related publications (29)

https://infoscience.epfl.ch/entities/publication/7db3e298-b978-417f-81b1-132210188657

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Related publications (29)

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This manuscript is the lecture notes of B. Barak’s course in the Les Houches ‘Statistical Physics and Machine Learning’ summer school in 2022. It surveys various proxies for computational hardness in random planted problems, from the low-degree likelihood ...

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Recent advancements in deep learning have found compelling applications in the image-based inspection of infrastructure systems. However, the efficacy of these models hinges significantly on the quality and diversity of the input data used for training. In ...

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