Jan Kapar
Scholar

Jan Kapar

Google Scholar ID: BlsiT8kAAAAJ
PhD Student, University of Bremen
Generative modelingTabular dataMachine learningExplainable artificial intelligence
Citations & Impact
All-time
Citations
60
 
H-index
2
 
i10-index
1
 
Publications
7
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Published multiple conference papers on AI and statistical modeling, including AAAI, xAI 2024, and AISTATS
  • Selected paper: 'Conditional feature importance with generative modeling using adversarial random forests' (AAAI 2025)
  • Selected paper: 'CountARFactuals -- Generating plausible model-agnostic counterfactual explanations with adversarial random forests' (xAI 2024)
  • Selected paper: 'Adversarial random forests for density estimation and generative modeling' (AISTATS 2023)
  • ORCiD: 0009-0000-6408-2840
Research Experience
  • Since 02/2022: Doctoral Research Fellow, Leibniz BIPS
  • 03/2017–01/2022: Consultant, Accenture GmbH
  • 06/2016–09/2016: Intern, Accenture GmbH
  • 11/2015–03/2016: Intern, DAIMLER AG
  • 04/2013–07/2013: Student Assistant, Department of Mathematics, Julius-Maximilians-Universität Würzburg
Education
  • Since 2022: PhD student in Machine Learning, Faculty of Mathematics and Computer Science, Universität Bremen
  • 2013–2016: M.Sc. in Business Mathematics, Julius-Maximilians-Universität Würzburg
  • 2011–2013: B.Sc. in Mathematics, Julius-Maximilians-Universität Würzburg
  • 2014–2015: Exchange semester at Università degli Studi di Padova
  • 2023: 5-month research stay at Department of Human Health and Nutritional Sciences, University of Guelph
Co-authors
0 total
Co-authors: 0 (list not available)