ICCHA2022

PROGRAM

Plenary Speakers

• Luis Daniel Abreu (Acoustics Research Institute Vienna)
  - "Time-frequency analysis: from the plane to the flat torus. Deterministic and random aspects"
• Akram Aldroubi (Vanderbilt University)
  - "Optimal transport transforms in signal processing and data science"
• Rima Alaifari (ETH Zürich)
  - "Recent advances in phase retrieval"
• Afonso Bandeira (ETH Zürich)
  - "Computation, statistics, and optimization of random functions"
• Mikhail Belkin (University of California, San Diego)
  - "The mathematical challenges of modern machine learning"
• Helmut Boelcskei (ETH Zürich)
  - "Fundamental limits of generative deep neural networks"
• Annie Cuyt (University of Antwerp)
  - "Exponential analysis: solving open problems and unlocking new potential"
• Mark Iwen (Michigan State University)
  - "Generalized sparse Fourier transforms for approximating functions of many variables"
• Hrushikesh Mhaskar (Claremont Graduate University)
  - "Super-resolution meets machine learning"
• Dustin Mixon (Ohio State University)
  - "Optimal projective codes"
• Justin Romberg (Georgia Institute of Technology)
  - "Distributed stochastic approximation: reinforcement learning and optimization with communication constraints"
• Karin Schnass (University of Innsbruck)
  - "A peek at the landscape of dictionary learning"
• Joel Tropp (California Institute of Technology)
  - "Scalable semidefinite programming"