Assoz. Prof. Dipl.-Ing. Dr.techn. Sebastian Tschiatschek, BSc
1090 Wien
Lehrveranstaltungen
Wintersemester 2026
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051032 VU Grundlagen der Intelligenten Systeme
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051080 LP Softwarepraktikum mit Bachelorarbeit
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053021 LP Praktikum Informatik 1
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053031 LP Praktikum Informatik 2
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053049 SE Masterseminar
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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 Doktoranden Forschungsseminar - Data and Knowledge
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960036 VU IT und Data Science Grundlagen
Sommersemester 2026
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051080 LP Softwarepraktikum mit Bachelorarbeit
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052323 VU Probabilistic Artificial Intelligence
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053021 LP Praktikum Informatik 1
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053031 LP Praktikum Informatik 2
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053049 SE Masterseminar
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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 Doktoranden Forschungsseminar - Data and Knowledge
Wintersemester 2025
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051032 VU Grundlagen der Intelligenten Systeme
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051080 LP Softwarepraktikum mit Bachelorarbeit
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053021 LP Praktikum Informatik 1
-
053031 LP Praktikum Informatik 2
-
053049 SE Masterseminar
-
053613 VU Introduction to Machine Learning
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053631 LP Data Analysis Project
-
500501 SE Doktoranden Forschungsseminar - Data and Knowledge
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960028 VU IT und Data Science Grundlagen
Publikationen
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. S. 1749-1783.
Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › 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 Beitrag in ACM FAccT 2026 Conference , Montréal, Kanada.
Veröffentlichungen: Beitrag zu Konferenz › Paper › Peer Reviewed
Enhancing Diversity of LLM-Generated Educational Tasks. / Nguyen, Manh Hung; Tschiatschek, Sebastian; Singla, Adish.
2026.
Veröffentlichungen: 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, S. 1-41.
Veröffentlichungen: Beitrag in Fachzeitschrift › Artikel › Peer Reviewed
Understanding and improving hyperbolic deep reinforcement learning. / Klein, Timo (Korresp. Autor*in); Lang, Thomas; Shkabrii, Andrii et al.
The 14th International Conference on Learning Representations (ICLR 2026), Rio de Janeiro, Brazil, 23-27 April, 2026. 2026. S. 92200-92235.
Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed
Expressiveness of Parametrized Distributions over DAGs for Causal Discovery. / Rittel, Simon; Tschiatschek, Sebastian.
in: Transactions on Machine Learning Research, 20.10.2025.
Veröffentlichungen: Beitrag in Fachzeitschrift › Artikel › Peer Reviewed
Prompt Optimization Across Multiple Agents for Representing Diverse Human Populations. / Nguyen, Manh Hung; Tschiatschek, Sebastian; Singla, Adish.
2025.
Veröffentlichungen: Sonstige Veröffentlichung › Sonstiges
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. Hrsg. / James Kwok. International Joint Conferences on Artificial Intelligence Organization, 2025. S. 6254-6262.
Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › 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. Hrsg. / Alexandra I. Cristea; Erin Walker; Yu Lu; Olga C. Santos; Seiji Isotani. Cham: Springer Nature Switzerland AG, 2025. S. 77-91.
Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed
On Constant Regret for Low-Rank MDPs. / Sturm, Alexander; Tschiatschek, Sebastian.
The 41st Conference on Uncertainty in Artificial Intelligence. 2025.
Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed
Projekte
Interpretability and Explainability as Drivers to Democracy
Vorträge
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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