Scholar
Jiří Němeček
Google Scholar ID: BZo1mX4AAAAJ
PhD student at CTU in Prague
Citations & Impact
Citations
10
H-index
2
i10-index
0
Publications
8
Co-authors
5
list available
Publications
Resume (English only)
Academic Achievements
- ‘Bias Detection via Maximum Subgroup Discrepancy’, KDD 2025
- ‘Generating Likely Counterfactuals Using Sum-Product Networks’, ICLR 2025
- Top placements in class contests on deep learning and non-polynomial optimization
- Graduated with honors in both BSc (GPA 1.18) and MSc (GPA 1.08), where 1 is the best possible grade
- Achieved multiple top results in extracurricular competitions
Education
- PhD in AI at AI Center, CTU (since 2023), researching explainability and fairness under supervision of Jakub Mareček and Tomáš Pevný
- MSc in Artificial Intelligence, Faculty of Electrical Engineering (FEE), CTU in Prague (2021–2023), graduated with honors (GPA 1.08), thesis on mixed-integer programming for explainability in ML
- Minors in Computer Vision, Data Science, and the selective prg.ai minor for top AI students in Prague
- Completed courses on AI Ethics and Security at Charles University, and Research Ethics at Warsaw University of Technology
- BSc in Knowledge Engineering, Faculty of Information Technology (FIT), CTU in Prague (2017–2021), graduated with honors (GPA 1.18), thesis on evolutionary algorithms for training neural networks
