Diffusion models for optimal sensor placement in cities

Описание к видео Diffusion models for optimal sensor placement in cities

This work was led by Abhijeet Vishwasrao and carried out at CTR in Stanford (together with the groups of Beverley McKeon and Cathrine Gorle). Here we use diffusion models to create a reconstruction framework, which together with our explainable deep learning capabilities, produce a method for optimal sensor placement in cities!!

✅ Explainable deep learning framework:
https://www.nature.com/articles/s4146...

✅ Explainable deep learning for turbulence physics:
https://arxiv.org/abs/2410.23189

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