Assoz. Prof. Dipl.-Ing. Dr.techn. Sebastian Tschiatschek, BSc
1090 Wien
Courses
Winter term 2026
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051032 VU Foundations of Intelligent Systems
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053021 LP Practical Course: Computer Science 1
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053031 LP Practical Course: Computer Science 2
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053049 SE Master Seminar
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053613 VU Introduction to Machine Learning
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053631 LP Data Analysis Project
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500501 SE Doctoral Research Seminar - Data and Knowledge
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960036 VU Basics of IT and Data Science
Summer term 2026
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052323 VU Probabilistic Artificial Intelligence
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053021 LP Practical Course: Computer Science 1
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053031 LP Practical Course: Computer Science 2
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053049 SE Master Seminar
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053621 VU Mining Massive Data
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053631 LP Data Analysis Project
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053640 SE Master's Seminar
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500501 SE Doctoral Research Seminar - Data and Knowledge
Winter term 2025
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051032 VU Foundations of Intelligent Systems
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053021 LP Practical Course: Computer Science 1
-
053031 LP Practical Course: Computer Science 2
-
053049 SE Master Seminar
-
053613 VU Introduction to Machine Learning
-
053631 LP Data Analysis Project
-
500501 SE Doctoral Research Seminar - Data and Knowledge
-
960028 VU Basics of IT and Data Science
Publications
Humans-in-the-Contestability-Loop: Designing for Social Counselors to Understand and Challenge Algorithmic Decisions. / Schmude, Timothée; Pahr, Daniel; Koesten, Laura et al.
FAccT '26: The 2026 ACM Conference on Fairness, Accountability, and Transparency. Montreal QC Canada: ACM, 2026. p. 1749-1783.
Publications: Contribution to book › Contribution to proceedings › Peer Reviewed
Two Means to an End Goal: Connecting Explainability and Contestability in the Regulation of Public Sector AI. / Tschiatschek, Sebastian; Schmude, Timothée; Yurrita, Mireia et al.
2026. 3078 Paper presented at ACM FAccT 2026 Conference , Montréal, Canada.
Publications: Contribution to conference › Paper › Peer Reviewed
Enhancing Diversity of LLM-Generated Educational Tasks. / Nguyen, Manh Hung; Tschiatschek, Sebastian; Singla, Adish.
2026.
Publications: Working paper › Preprint
Better Together? On the Design and Use of Explanations to Support Novices in Individual and Collective Deliberations About AI. / Schmude, Timothée; Koesten, Laura; Möller, Torsten et al.
In: International Journal of Human-Computer-Interaction, 07.05.2026, p. 1-41.
Publications: Contribution to journal › Article › Peer Reviewed
Understanding and improving hyperbolic deep reinforcement learning. / Klein, Timo (Corresponding author); Lang, Thomas; Shkabrii, Andrii et al.
The 14th International Conference on Learning Representations (ICLR 2026), Rio de Janeiro, Brazil, 23-27 April, 2026. 2026. p. 92200-92235.
Publications: Contribution to book › Contribution to proceedings › Peer Reviewed
Expressiveness of Parametrized Distributions over DAGs for Causal Discovery. / Rittel, Simon; Tschiatschek, Sebastian.
In: Transactions on Machine Learning Research, 20.10.2025.
Publications: Contribution to journal › Article › Peer Reviewed
Prompt Optimization Across Multiple Agents for Representing Diverse Human Populations. / Nguyen, Manh Hung; Tschiatschek, Sebastian; Singla, Adish.
2025.
Publications: Other publication › Other
Rule-Guided Reinforcement Learning Policy Evaluation and Improvement. / Tappler, Martin; Lopez-Miguel, Ignacio D.; Tschiatschek, Sebastian et al.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-25. ed. / James Kwok. International Joint Conferences on Artificial Intelligence Organization, 2025. p. 6254-6262.
Publications: Contribution to book › Contribution to proceedings › Peer Reviewed
Synthesizing High-Quality Programming Tasks with LLM-Based Expert and Student Agents. / Nguyen, Manh Hung; Pădurean, Victor-Alexandru; Gotovos, Alkis et al.
Artificial Intelligence in Education. ed. / Alexandra I. Cristea; Erin Walker; Yu Lu; Olga C. Santos; Seiji Isotani. Cham: Springer Nature Switzerland AG, 2025. p. 77-91.
Publications: Contribution to book › Contribution to proceedings › Peer Reviewed
On Constant Regret for Low-Rank MDPs. / Sturm, Alexander; Tschiatschek, Sebastian.
The 41st Conference on Uncertainty in Artificial Intelligence. 2025.
Publications: Contribution to book › Contribution to proceedings › Peer Reviewed
Projects
Talks
Considering Respondents’ Preferences: The Effects of Self-Selecting the Content in Web Survey Questionnaires
Automated Split Questionnaire Design: The Way Forward in Survey Research?
Automated Split Questionnaire Design: The Way Forward in Survey Research?
Machine Learning for Neural Imaging
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