Current Group Member

Dr. Evelyn Herberg

Postdoctoral Researcher

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

Furthermore, I am vice-president of the GAMM Juniors and treasurer of EMYA.

You can find my CV here.

Research Interests

My research mainly focuses on

  • Mathematical Machine Learning
  • Optimal Control with Partial Differential Equations
  • Adaptive Algorithms
  • Variational Discretization

Recent Teaching

Currently Supervising

  • M.Sc. Thesis of Viktor Stein:
    Genodesic: Trajectory Reconstruction in Single-Cell Sequencing Data using Score Based Methods
    M.Sc. Mathematik, Heidelberg University
    Supervision: Evelyn Herberg, Simon Anders and Roland Herzog
  • B.Sc. Thesis of Simone Hechler:
    Invexe Optimierung
    B.Sc. Mathematik
    Supervision: Roland Herzog and Evelyn Herberg

Recent Events Organized

Latest Publications

  • Irene De Blasi, María Ángeles García-Ferrero and Evelyn Herberg
    Environmental and mental sustainability in academia
    European Mathematical Society Magazine 134, p.50-52, 2024
    doi:10.4171/mag/226
    bibtex 
    @ARTICLE{DeBlasiAngelesGarciaFerreroHerberg:2024:1,
  AUTHOR = {De Blasi, Irene and Ángeles García-Ferrero, María and Herberg, Evelyn},
  PUBLISHER = {European Mathematical Society},
  DATE = {2024-12},
  DOI = {10.4171/mag/226},
  JOURNALTITLE = {European Mathematical Society Magazine},
  PAGES = {50--52},
  TITLE = {Environmental and mental sustainability in academia},
  VOLUME = {134},
}
  • Mohammed Alshehri, Harbir Antil, Evelyn Herberg and Drew P. Kouri
    An inexact semismooth Newton method with application to adaptive randomized sketching for dynamic optimization
    Finite Elements in Analysis and Design 228, 2024
    doi:10.1016/j.finel.2023.104052
    bibtex 
    @ARTICLE{AlshehriAntilHerbergKouri:2024:1,
  AUTHOR = {Alshehri, Mohammed and Antil, Harbir and Herberg, Evelyn and Kouri, Drew P.},
  PUBLISHER = {Elsevier BV},
  DATE = {2024-01},
  DOI = {10.1016/j.finel.2023.104052},
  JOURNALTITLE = {Finite Elements in Analysis and Design},
  PAGES = {104052},
  TITLE = {An inexact semismooth Newton method with application to adaptive randomized sketching for dynamic optimization},
  VOLUME = {228},
}
  • Evelyn Herberg, Roland Herzog, Frederik Köhne, Leonie Kreis and Anton Schiela
    Sensitivity-based layer insertion for residual and feedforward neural networks, 2023
    arXiv:2311.15995
    bibtex 
    @ONLINE{HerbergHerzogKoehneKreisSchiela:2023:1,
  AUTHOR = {Herberg, Evelyn and Herzog, Roland and Köhne, Frederik and Kreis, Leonie and Schiela, Anton},
  DATE = {2023-11},
  EPRINT = {2311.15995},
  EPRINTTYPE = {arXiv},
  TITLE = {Sensitivity-based layer insertion for residual and feedforward neural networks},
}
  • Evelyn Herberg
    Variationelle Diskretisierung für Optimale Steuerung mit Maßkontrollen
    Mitteilungen der Deutschen Mathematiker-Vereinigung 31(3), p.156-159, 2023
    doi:10.1515/dmvm-2023-0053
    bibtex 
    @ARTICLE{Herberg:2023:2,
  AUTHOR = {Herberg, Evelyn},
  PUBLISHER = {Walter de Gruyter},
  DATE = {2023-09},
  DOI = {10.1515/dmvm-2023-0053},
  JOURNALTITLE = {Mitteilungen der Deutschen Mathematiker-Vereinigung},
  NUMBER = {3},
  PAGES = {156--159},
  TITLE = {Variationelle Diskretisierung für Optimale Steuerung mit Maßkontrollen},
  VOLUME = {31},
}
  • Robert J. Baraldi, Evelyn Herberg, Drew P. Kouri and Harbir Antil
    Adaptive randomized sketching for dynamic nonsmooth optimization
    Model Validation and Uncertainty Quantification 3, p.107-116, 2023
    doi:10.1007/978-3-031-37003-8_17
    bibtex 
    @INCOLLECTION{BaraldiHerbergKouriAntil:2023:1,
  AUTHOR = {Baraldi, Robert J. and Herberg, Evelyn and Kouri, Drew P. and Antil, Harbir},
  PUBLISHER = {Springer Nature Switzerland},
  BOOKTITLE = {Model Validation and Uncertainty Quantification},
  DATE = {2023-06},
  DOI = {10.1007/978-3-031-37003-8_17},
  PAGES = {107--116},
  TITLE = {Adaptive randomized sketching for dynamic nonsmooth optimization},
  VOLUME = {3},
}
  • Evelyn Herberg
    Lecture Notes: Neural Network Architectures, 2023
    arXiv:2304.05133
    bibtex 
    @ONLINE{Herberg:2023:1,
  AUTHOR = {Herberg, Evelyn},
  DATE = {2023-04},
  EPRINT = {2304.05133},
  EPRINTTYPE = {arXiv},
  TITLE = {Lecture Notes: Neural Network Architectures},
}
  • Harbir Antil, Hugo Dı́az and Evelyn Herberg
    An optimal time variable learning framework for deep neural networks
    Annals of Mathematical Sciences and Applications 8(3), p.501-543, 2023
    doi:10.4310/amsa.2023.v8.n3.a4
    bibtex 
    @ARTICLE{AntilDiazHerberg:2023:1,
  AUTHOR = {Antil, Harbir and Dı́az, Hugo and Herberg, Evelyn},
  PUBLISHER = {International Press of Boston},
  DATE = {2023},
  DOI = {10.4310/amsa.2023.v8.n3.a4},
  EPRINT = {2204.08528},
  JOURNALTITLE = {Annals of Mathematical Sciences and Applications},
  NUMBER = {3},
  PAGES = {501--543},
  TITLE = {An optimal time variable learning framework for deep neural networks},
  VOLUME = {8},
}
  • Evelyn Herberg, Roland Herzog and Frederik Köhne
    Time regularization in optimal time variable learning
    Proceedings in Applied Mathematics and Mechanics 24(1), 2023
    arXiv:2306.16111 doi:10.1002/pamm.202300299
    bibtex 
    @ARTICLE{HerbergHerzogKoehne:2023:2,
  AUTHOR = {Herberg, Evelyn and Herzog, Roland and Köhne, Frederik},
  PUBLISHER = {Wiley},
  DATE = {2023},
  DOI = {10.1002/pamm.202300299},
  EPRINT = {2306.16111},
  EPRINTTYPE = {arXiv},
  JOURNALTITLE = {Proceedings in Applied Mathematics and Mechanics},
  NUMBER = {1},
  TITLE = {Time regularization in optimal time variable learning},
  VOLUME = {24},
}

Current and Upcoming Projects

Operator Learning for Optimal Control: Approximation and Statistical Theory
Start: 2025-01-01
End: 2027-12-31
Principal Investigators: Evelyn Herberg, Jakob Zech, Sven Wang
Staff: Mario Marić, Duc Ly Hoang
Funded by: DFG within the Priority Program funding scheme
Part of: Theoretical Foundations of Deep Learning (SPP 2298)