David Knigge

David Knigge

David Knigge did his bachelor’s and master’s in Artificial Intelligence at the UvA, and over this period became very interested in model generalisability and improvement through the incorporation of geometric biases in model design. He works under the supervision of Efstratios Gavves at the POP-AART lab, where they attempt to improve radiotherapy methods through the use of geometric deep learning.

Interests

  • Geometric Deep Learning
  • Equivariance
  • Graph Learning
  • Temporal Dynamics