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
  • Applications of Evolutionary Algorithms

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

Teaching Activities

As Advisor

Bachelor Theses

  • Explaining the Predictions of Any Time Series Classifier, Felix Mujkanovic (Summer '19)
  • Valuation of Real Estate Properties using Data-Driven Similarity Search, Ben Bals (Summer '21)
  • Approximate k-Nearest-Neighbor Queries on Geographic Data in the Context of Real Estate Valuation, Niko Hastrich (Summer '21)
  • Finding Deep Neural Network Architectures for Tabular Real Estate Data Using Genetic Algorithms, Maximilian Kleissl (Summer '21)
  • Preparation of Real Estate Data for Deep Learning, Lukas Weyand (Summer '21)

Bachelor Projects

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)
  • Seminar on Theory of Artificial Intelligence (German, Winter '21)
  • Project seminar on "Competitive Programming with Deep Learning 2" (Winter '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 [ to top ]

  • Fine-Grained Localization... - Download
    Berger, Julian; Bleidt, Tibor; Büßemeyer, Martin; Ding, Marcus; Feldmann, Moritz; Feuerpfeil, Moritz; Jacoby, Janusch; Schröter, Valentin; Sievers, Bjarne; Spranger, Moritz; Stadlinger, Simon; Wullenweber, Paul; Cohen, Sarel; Doskoč, Vanja; Friedrich, Tobias Fine-Grained Localization, Classification and Segmentation of Lungs with Various DiseasesCVPR Workshop on Fine-Grained Visual Categorization (FGVC@CVPR) 2021
  • Normal Forms for Semantic... - Download
    Doskoč, Vanja; Kötzing, Timo Normal Forms for Semantically Witness-Based Learners in Inductive InferenceComputability in Europe (CiE) 2021
  • Mapping Monotonic Restric... - Download
    Doskoč, Vanja; Kötzing, Timo Mapping Monotonic Restrictions in Inductive InferenceComputability in Europe (CiE) 2021
  • Learning Languages with D... - Download
    Berger, Julian; Böther, Maximilian; Doskoč, Vanja; Gadea Harder, Jonathan; Klodt, Nicolas; Kötzing, Timo; Lötzsch, Winfried; Peters, Jannik; Schiller, Leon; Seifert, Lars; Wells, Armin; Wietheger, Simon Learning Languages with Decidable HypothesesComputability in Europe (CiE) 2021
  • Drug Repurposing for Mult... - Download
    Kißig, Otto; Taraz, Martin; Cohen, Sarel; Doskoč, Vanja; Friedrich, Tobias Drug Repurposing for Multiple COVID Strains using Collaborative FilteringICLR Workshop on Machine Learning for Preventing and Combating Pandemics (MLPCP@ICLR) 2021
  • Adaptive Sampling for Fas... - Download
    Quinzan, Francesco; Doskoč, Vanja; Göbel, Andreas; Friedrich, Tobias Adaptive Sampling for Fast Constrained Maximization of Submodular FunctionsArtificial Intelligence and Statistics (AISTATS) 2021: 964–972

2020 [ to top ]

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

2018 [ to top ]

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