Since 2012 deep networks have revolutionized computer vision and many
other areas of science. In my presentation, I will focus on a number
of challenges in this field: How can we extend the success of deep
networks beyond supervised image classification? How can we combine
deep nets with classical optimization methods? And how can we extend
convolutional networks to non-Euclidean structures?
Back to Workshop IV: Multi-Modal Imaging with Deep Learning and Modeling