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
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2024 SSNonlinear Optimization (Lecture)
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2023 WSGrundlagen der Optimierung (Lecture)
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2023 SSMathematical Machine Learning (Seminar)
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2023 SSNonlinear Optimization (Lecture)
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2022 WSMathematical Machine Learning (Seminar)
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2022 WSWeiterführende Themen der Numerik (Seminar)
Recent events organized
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2023-09-25 -- 2023-09-27 European Conference on Computational Optimization (EUCCO)
Currently supervising
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M.Sc. Thesis of
Invertible Neural Networks for Parameter Identification in Differential EquationsM.Sc. Mathematik, Heidelberg UniversitySupervision: Roland Herzog and Evelyn Herberg
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M.Sc. Thesis of
Global Convergence Theory for Non-Smooth Newton Methods Applied to Quadratic ProgramsM.Sc. Mathematik, Heidelberg UniversitySupervision: Roland Herzog and Evelyn Herberg
Latest publications
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An inexact semismooth Newton method with application to adaptive randomized sketching for dynamic optimizationFinite Elements in Analysis and Design 228, p.104052, 2024
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}, }
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Variationelle Diskretisierung für Optimale Steuerung mit MaßkontrollenMitteilungen der Deutschen Mathematiker-Vereinigung 31(3), p.156-159, 2023
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}, }
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Adaptive randomized sketching for dynamic nonsmooth optimizationModel Validation and Uncertainty Quantification 3, p.107-116, 2023
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}, }
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An optimal time variable learning framework for deep neural networksAnnals of Mathematical Sciences and Applications 8(3), p.501-543, 2023
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}, }
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Lecture Notes: Neural Network Architectures2023
bibtex
@ONLINE{Herberg:2023:1, AUTHOR = {Herberg, Evelyn}, DATE = {2023}, EPRINT = {2304.05133}, EPRINTTYPE = {arXiv}, TITLE = {Lecture Notes: Neural Network Architectures}, }
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Time regularization in optimal time variable learningProceedings in Applied Mathematics and Mechanics, 2023
bibtex
@ARTICLE{HerbergHerzogKoehne:2023:2, AUTHOR = {Herberg, Evelyn and Herzog, Roland and Köhne, Frederik}, DATE = {2023}, DOI = {10.1002/pamm.202300299}, EPRINT = {2306.16111}, EPRINTTYPE = {arXiv}, JOURNALTITLE = {Proceedings in Applied Mathematics and Mechanics}, TITLE = {Time regularization in optimal time variable learning}, }
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Sensitivity-based layer insertion for residual and feedforward neural networks2023
bibtex
@ONLINE{HerbergHerzogKoehneKreisSchiela:2023:1, AUTHOR = {Herberg, Evelyn and Herzog, Roland and Köhne, Frederik and Kreis, Leonie and Schiela, Anton}, DATE = {2023}, EPRINT = {2311.15995}, EPRINTTYPE = {arXiv}, TITLE = {Sensitivity-based layer insertion for residual and feedforward neural networks}, }
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Variational discretization approach applied to an optimal control problem with bounded measure controlsOptimization and Control for Partial Differential Equations, p.113-136, 2022
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}, }