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Symmetric Discrete Optimal Control and Deep Learning

Anthony M. Bloch, Peter E. Crouch, Tudor S. Ratiu

9/4/24 Published in : arXiv:2404.06556

We analyze discrete optimal control problems and their connection with back propagation and deep learning. We consider in particular the symmetric representation of the discrete rigid body equations developed via optimal control analysis and optimal flows on adjoint orbits

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Phase I & II research project(s)

  • Quantum Systems
  • Field Theory
  • Geometry, Topology and Physics

Phase III direction(s)

  • Holography and bulk-boundary correspondence

On Optimal Transport Maps Between 1 /d-Concave Densities

Automorphisms of framed operads

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The National Centres of Competence in Research (NCCRs) are a funding scheme of the Swiss National Science Foundation

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