It flags changed areas to prioritise for downlink, shortening the response time. We introduce the RaVÆn system, a lightweight, unsupervised approach for change detection in satellite data based on Variational Auto-Encoders (VAEs) with the specific purpose of on-board deployment. NeurIPS Workshop on AI for Humanitarian Assistance and Disaster Response Workshop (AI+HADR), 2021 Vít Růžička, Anna Vaughan, Daniele De Martini, James Fulton, Valentina Salvatelli, Chris Bridges, Gonzalo Mateo-Garcia, Valentina Zantedeschi Unsupervised Change Detection of Extreme Events Using ML On-Board I would like to use my research to aid with real-world problems, and sometimes I dabble with art making and question how we can use Machine Learning as a tool for creative expression. My research interests are in Machine Learning applied in image analysis and generation, Computer Vision and Generative Models.
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