Dr. Evelyn Herberg

Postdoctoral Researcher

I have been a postdoctoral researcher at the Scientific Computing and Optimization group at the Interdisciplinary Center for Scientific Computing of Heidelberg University since September 2022.

You can find my CV here.

Research Interests

My research mainly focuses on

  • Mathematical Machine Learning
  • Optimization with partial differential equations
  • Variational discretization
  • Model Order Reduction

Recent teaching

Recent events organized

Currently supervising

  • M.Sc. Thesis of Johannes Wagner:
    Physics-Informed Neural Networks for Optimal Control Problems
    M.Sc. Mathematik, TU Chemnitz
    Supervision: Roland Herzog and Evelyn Herberg
  • B.Sc. Thesis of Nico Haaf:
    Optimal Control Problems with Measures
    B.Sc. Mathematik, Heidelberg University
    Supervision: Roland Herzog, Evelyn Herberg and Georg Müller

Latest publications

  • Evelyn Herberg and Michael Hinze
    Variational discretization approach applied to an optimal control problem with bounded measure controls
    Optimization and Control for Partial Differential Equations, p.113-136, 2022
    doi:10.1515/9783110695984-006
    bibtex 
    @INCOLLECTION{HerbergHinze:2022:2,
  AUTHOR = {Herberg, Evelyn and Hinze, Michael},
  PUBLISHER = {De Gruyter},
  BOOKTITLE = {Optimization and Control for Partial Differential Equations},
  DATE = {2022-03},
  DOI = {10.1515/9783110695984-006},
  PAGES = {113--136},
  TITLE = {Variational discretization approach applied to an optimal control problem with bounded measure controls},
}
  • Harbir Antil, Hugo Díaz and Evelyn Herberg
    An optimal time variable learning framework for deep neural networks
    2022
    arXiv:2204.08528
    bibtex 
    @ONLINE{AntilDiazHerberg:2022:1,
  AUTHOR = {Antil, Harbir and Díaz, Hugo and Herberg, Evelyn},
  DATE = {2022},
  EPRINT = {2204.08528},
  EPRINTTYPE = {arXiv},
  TITLE = {An optimal time variable learning framework for deep neural networks},
}
  • Evelyn Herberg and Michael Hinze
    Variational discretization of one-dimensional elliptic optimal control problems with BV functions based on the mixed formulation
    Mathematical Control \& Related Fields, p.0, 2022
    doi:10.3934/mcrf.2022013
    bibtex 
    @ARTICLE{HerbergHinze:2022:1,
  AUTHOR = {Herberg, Evelyn and Hinze, Michael},
  PUBLISHER = {American Institute of Mathematical Sciences (AIMS)},
  DATE = {2022},
  DOI = {10.3934/mcrf.2022013},
  JOURNALTITLE = {Mathematical Control \& Related Fields},
  PAGES = {0},
  TITLE = {Variational discretization of one-dimensional elliptic optimal control problems with BV functions based on the mixed formulation},
}
  • Evelyn Herberg, Michael Hinze and Henrik Schumacher
    Maximal discrete sparsity in parabolic optimal control with measures
    Mathematical Control and Related Fields 10(4), p.735-759, 2020
    doi:10.3934/mcrf.2020018
    bibtex 
    @ARTICLE{HerbergHinzeSchumacher:2020:1,
  AUTHOR = {Herberg, Evelyn and Hinze, Michael and Schumacher, Henrik},
  DATE = {2020},
  DOI = {10.3934/mcrf.2020018},
  JOURNALTITLE = {Mathematical Control and Related Fields},
  NUMBER = {4},
  PAGES = {735--759},
  TITLE = {Maximal discrete sparsity in parabolic optimal control with measures},
  VOLUME = {10},
}
  • Evelyn Herberg, Michael Hinze and Henrik Schumacher
    Sparse discretization of sparse control problems
    PAMM 19(1), 2019
    doi:10.1002/pamm.201900105
    bibtex 
    @ARTICLE{HerbergHinzeSchumacher:2019:1,
  AUTHOR = {Herberg, Evelyn and Hinze, Michael and Schumacher, Henrik},
  PUBLISHER = {Wiley},
  DATE = {2019-11},
  DOI = {10.1002/pamm.201900105},
  JOURNALTITLE = {PAMM},
  NUMBER = {1},
  TITLE = {Sparse discretization of sparse control problems},
  VOLUME = {19},
}