Prof. Dr. Tobias Friedrich

Vanja Doskoč

Chair for Algorithm Engineering
Hasso Plattner Institute

Office: A-1.13
Tel.: +49 331 5509-4835
Email: Vanja.Doskoc(at)hpi.de

Research Interests

  • Inductive Inference or Language Learning in the Limit
  • Deep Learning and Neural Networks

On my research page you can find an introduction and desription of my work regarding inductive inference.

Teaching Activities

As Advisor

As Teaching Assistant

  • Project seminar about Computability- und Learningtheory (German) (Winter '19)
  • Second basic course of Mathematics (German) (Summer '20, Summer '21) as well as a specific specialization thereof (German) (Summer '21)
  • Project seminar on "Competitive Programming with Deep Learning" (Winter '20)
  • Project seminar on "Deep Learning for Combinatorial Optimization" (Summer '21)

Short Academic CV

2011-2014:Bachelor's Programme "Technical Mathematics" at TU Wien, Austria
2014-2017:Master's Programme "Technical Mathematics" at TU Wien, Austria
2018-present:Ph.D. student at the chair for Algorithm Engineering at HPI Potsdam, Germany



[ 2021 ] [ 2020 ] [ 2018 ]

2021 [ nach oben ]

  • Doskoč, Vanja; Kötzing, TimoNormal Forms for Semantically Witness-Based Learners in Inductive Inference. Computability in Europe (CiE) 2021
  • Doskoč, Vanja; Kötzing, TimoMapping Monotonic Restrictions in Inductive Inference. Computability in Europe (CiE) 2021
  • Berger, Julian; Böther, Maximilian; Doskoč, Vanja; Gadea Harder, Jonathan; Klodt, Nicolas; Kötzing, Timo; Lötzsch, Winfried; Peters, Jannik; Schiller, Leon; Seifert, Lars; Wells, Armin; Wietheger, SimonLearning Languages with Decidable Hypotheses. Computability in Europe (CiE) 2021
  • Kißig, Otto; Taraz, Martin; Cohen, Sarel; Doskoč, Vanja; Friedrich, TobiasDrug Repurposing for Multiple COVID Strains using Collaborative Filtering. ICLR Workshop on Machine Learning for Preventing and Combating Pandemics (MLPCP@ICLR) 2021
  • Adaptive Sampling for Fas... - Download
    Quinzan, Francesco; Doskoč, Vanja; Göbel, Andreas; Friedrich, TobiasAdaptive Sampling for Fast Constrained Maximization of Submodular Functions. Artificial Intelligence and Statistics (AISTATS) 2021

2020 [ nach oben ]

  • Non-Monotone Submodular M... - Download
    Doskoč, Vanja; Friedrich, Tobias; Göbel, Andreas; Neumann, Aneta; Neumann, Frank; Quinzan, FrancescoNon-Monotone Submodular Maximization with Multiple Knapsacks in Static and Dynamic Settings. European Conference on Artificial Intelligence (ECAI) 2020: 435-442
  • Cautious Limit Learning - Download
    Doskoč, Vanja; Kötzing, TimoCautious Limit Learning. Algorithmic Learning Theory (ALT) 2020: 251-276

2018 [ nach oben ]

  • Confident Iterative Learn... - Download
    Doskoč, VanjaConfident Iterative Learning in Computational Learning Theory. Current Trends in Theory and Practice of Computer Science (SOFSEM) 2018: 30-42
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