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The BRAIn team (Better Representations for Artificial Intelligence) focuses on research on finding efficient representations for Artificial Intelligence (mainly Deep Learning). There are 3 main research projects and 3 main application domains:


Research Projects:

  • Thrifty AI, or how to find efficient representations in the low data regime (typically few-shot or few-label learning)
  • Compression of AI, or how to find efficient representations to lower the demand in computations and energy of AI systems, typically for AI on edge
  • Geometry and AI, or how to leverage the geometry of latent spaces or input domains to better adapt and monitor AI systems

Application Domains:

  • Computer Vision
  • Neuroimagery, Cognitive Neurosciences and Biomedical Data
  • Sound and other temporal signals