Dr. Karen Seidel
This is an archived page of a former group member.
Karen Seidel is now a postdocoral researcher in the Mathematical Statistics and Machine Learning group at the University of Potsdam.
Research Interests
I am interested in machine and human learning of mathematics and computer science.
My current main research interest lies in algorithmic learning theory with its connections to artificial intelligence, cognitive science and various areas of computer science. I aim at giving an intuition about how memory restrictions and desired properties of the learner's behavior (while learning) effect what is learnable.
Selected Conferences, Workshops and Seminars
08/2019 International Symposium on Mathematical Foundations of Computer Science (MFCS19)
10/2017 International Conference on Algorithmic Learning Theory (ALT17)
09/2017 Herbsttagung des GDM-Arbeitskreises Mathematik und Bildung
08/2017 Arbeitstreff en Computability and Reducibility
02/2017 Jahrestagung der Gesellschaft für Didaktik der Mathematik
07/2016 International Congress on Mathematics Education (ICME16)
02/2011 Winter School in Abstract Analysis Section Set Theory
01/2010 Indian School on Logic and its Applications (ISLA10)
Publications
2022
Böther, Maximilian; Kißig, Otto; Taraz, Martin; Cohen, Sarel; Seidel, Karen; Friedrich, TobiasWhat’s Wrong with Deep Learning in Tree Search for Combinatorial OptimizationInternational Conference on Learning Representations (ICLR) 2022
2021
Göbel, Andreas; Lagodzinski, J. A. Gregor; Seidel, KarenCounting Homomorphisms to Trees Modulo a PrimeACM Transactions on Computation Theory 2021
Khazraei, Ardalan; Kötzing, Timo; Seidel, KarenTowards a Map for Incremental Learning in the Limit from Positive and Negative InformationComputability in Europe (CiE) 2021: 273–284
Kötzing, Timo; Seidel, KarenLearning Languages in the Limit from Positive Information with Finitely Many Memory ChangesComputability in Europe (CiE) 2021: 318–329
2020
Khazraei, Ardalan; Kötzing, Timo; Seidel, KarenLearning Half-Spaces and other Concept Classes in the Limit with Iterative LearnersCoRR 2020
Kötzing, Timo; Seidel, KarenLearning Languages in the Limit from Positive Information with Finitely Many Memory ChangesCoRR 2020
2019
Gao, Ziyuan; Jain, Sanjay; Khoussainov, Bakhadyr; Li, Wei; Melnikov, Alexander; Seidel, Karen; Stephan, FrankRandom Subgroups of RationalsMathematical Foundations of Computer Science (MFCS) 2019: 25:1–25:14
2018
Aschenbach, Martin; Kötzing, Timo; Seidel, KarenLearning from Informants: Relations between Learning Success CriteriaCoRR 2018
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Göbel, Andreas; Lagodzinski, J. A. Gregor; Seidel, KarenCounting Homomorphisms to Trees Modulo a PrimeMathematical Foundations of Computer Science (MFCS) 2018: 49:1–49:13
2017
Seidel, KarenZu mathematischen Argumentationen eines Experten aus einer semiotischen PerspektiveBeiträge zum Mathematikunterricht 2017 2017: 897–900
Kötzing, Timo; Schirneck, Martin; Seidel, KarenNormal Forms in Semantic Language IdentificationAlgorithmic Learning Theory (ALT) 2017: 493–516
Hölzl, Rupert; Jain, Sanjay; Schlicht, Philipp; Seidel, Karen; Stephan, FrankAutomatic Learning from Repetitive TextsAlgorithmic Learning Theory (ALT) 2017: 129–150
2013