Archive

October 2016
IDeAS
  • Rob Farber

State-Of-The Art Machine Learning Algorithms and How They Are Affected By Near-Term Technology Trends

IDeAS
  • Thanasis Fokas
  • University of Cambridge

From Integrability to Medical Imaging and to the Asymtotics of the Riemann Zeta Function

September 2016
IDeAS
  • Ofir Lindenbaum
  • Tel Aviv University

Kernel Fusion for Manifold Learning and Signal Processing