Hasso-Plattner-Institut
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

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

 

Publications

[ 2021 ] [ 2020 ] [ 2018 ]

2021 [ nach oben ]

  • 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 [ nach oben ]

  • 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 [ nach oben ]

  • 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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