Data Mining and Machine Learning

Assoz. Prof. Dipl.-Ing. Dr.techn. Sebastian Tschiatschek, BSc

Sebastian Tschiatschek
Research Group Data Mining and Machine Learning
Deputy Head
Währinger Straße 29
1090 Wien
Room : 4.40
T: +43-1-4277-79511
sebastian.tschiatschek(at)univie.ac.at
Personal homepage
u:cris portal

Courses

Publications

Schmude, T, Koesten, L, Möller, T & Tschiatschek, S 2026, 'Better Together? On the Design and Use of Explanations to Support Novices in Individual and Collective Deliberations About AI', International Journal of Human-Computer-Interaction, pp. 1-41.

Schmude, T, Koesten, L, Möller, T & Tschiatschek, S 2025, 'Information that matters: Exploring information needs of people affected by algorithmic decisions', International Journal of Human-Computer Studies, vol. 193, 103380. https://doi.org/10.1016/j.ijhcs.2024.103380

Herczeg, P, Steinacher, R, Forgó, N, Leichtfried, M, Römmer-Nossek, B, Böhm, R, Karall, E, Filipovic, A, Kayali, F, Tschiatschek, S, Lieberzeit, P & Sonntagbauer, K, Guidelines der Universität Wien zum Umgang mit Künstlicher Intelligenz (KI) in der Lehre (2. Auflage), 2024, Web publication, Wien. https://doi.org/10.25365/phaidra.544

Buchelt, A, Adrowitzer, A, Kieseberg, P, Gollob, C, Nothdurft, A, Eresheim, S, Tschiatschek, S, Stampfer, K & Holzinger, A 2024, 'Exploring Artificial Intelligence for Applications of Drones in Forest Ecology and Management', Forest Ecology and Management, vol. 551, 121530. https://doi.org/10.1016/j.foreco.2023.121530

Miklautz, L, Klein, T, Sidak, K, Leiber, C, Lang, T, Shkabrii, A, Tschiatschek, S & Plant, C 2024 'Breaking the Reclustering Barrier in Centroid-based Deep Clustering' arXiv. https://doi.org/10.48550/arXiv.2411.02275

Klein, T, Miklautz, L, Sidak, K, Plant, C & Tschiatschek, S 2024 'Plasticity Loss in Deep Reinforcement Learning: A Survey' arXiv. https://doi.org/10.48550/arXiv.2411.04832

Roth, W, Schindler, G, Klein, B, Peharz, R, Tschiatschek, S, Fröning, H, Pernkopf, F & Ghahramani, Z 2024, 'Resource-Efficient Neural Networks for Embedded Systems', Journal of Machine Learning Research, no. 50, pp. 1-51.

Klein, T, Weinberger, S, Singla, A & Tschiatschek, S 2023 'Active Third-Person Imitation' arXiv.org.

Kritzinger, S, Pfaff, K, Barta, JMT, Bernhard, J, Eder, A, Forgó, N, Paspalj, F, Plant, C, Prainsack, B, Prandner, D, Rittel, S & Tschiatschek, S 2023, 'Digitize! – Computational Social Science in der digitalen und sozialen Transformation', Zeitschrift für Hochschulentwicklung, pp. 173 - 195. https://doi.org/10.21240/zfhe/SH-F/11

Nguyen, MH, Tschiatschek, S & Singla, A 2023 'Large Language Models for In-Context Student Modeling: Synthesizing Student's Behavior in Visual Programming from One-Shot Observation' arXiv.org.

Han, D, Wooldridge, M, Rogers, A, Ohrimenko, O & Tschiatschek, S 2023, 'Replication Robust Payoff Allocation in Submodular Cooperative Games', IEEE Transactions on Artificial Intelligence, vol. 4, no. 5, pp. 1114-1128. https://doi.org/10.1109/TAI.2022.3195686

Rittel, S & Tschiatschek, S 2023, Specifying Prior Beliefs over DAGs in Deep Bayesian Causal Structure Learning. in K Gal, K Gal, A Nowe, GJ Nalepa, R Fairstein & R Radulescu (eds), ECAI 2023: 26th European Conference on Artificial Intelligence, including 12th Conference on Prestigious Applications of Intelligent Systems, PAIS 2023 - Proceedings. IOS Press, Amsterdam, Frontiers in Artificial Intelligence and Applications, vol. 372, pp. 1962-1969. https://doi.org/10.3233/FAIA230487

Sudak, T & Tschiatschek, S 2023, Posterior Consistency for Missing Data in Variational Autoencoders. in D Koutra, C Plant, M Gomez Rodriguez, E Baralis & F Bonchi (eds), Machine Learning and Knowledge Discovery in Databases: Research Track: European Conference, ECML PKDD 2023, Turin, Italy, September 18–22, 2023, Proceedings, Part II. Springer Nature, Cham, Lecture Notes in Computer Science, vol. 14170, pp. 508-524, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Turin, Italy, 18/09/23. https://doi.org/10.1007/978-3-031-43415-0_30

Pedroza, G, Chen, XC, Hernández-Orallo, J, Huang, X, Theodorou, A, Matragkas, N, Espinoza, H, Mallah, R, McDermid, J, Castillo-Effen, M, Bossens, D, Koenighofer, B, Tschiatschek, S & Liu, A 2023, 'The IJCAI-23 joint workshop on artificial intelligence safety and safe reinforcement learning (AISafety-SafeRL2023)', CEUR Workshop Proceedings, vol. 3505.

Schmude, T, Koesten, L, Möller, T & Tschiatschek, S 2023, 'On the Impact of Explanations on Understanding of Algorithmic Decision-Making', Paper presented at ACM FAccT Conference 2023, Chicago, United States, 12/06/23 - 15/06/23 pp. 959–970. https://doi.org/10.1145/3593013.3594054

Poletti, S, Testolin, A & Tschiatschek, S 2023, Learning Constraints From Human Stop-Feedback in Reinforcement Learning. in he proceedings of the 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS-2023). 22nd International Conference on Autonomous Agents and Multiagent Systems, London, United Kingdom, 29/05/23. <https://www.southampton.ac.uk/~eg/AAMAS2023/pdfs/p2328.pdf>

Lindner, D, Chen, X, Tschiatschek, S, Hofmann, K & Krause, A 2023 'Learning Safety Constraints from Demonstrations with Unknown Rewards' arXiv.org. https://doi.org/10.48550/arXiv.2305.16147

Schmude, T, Koesten, L, Möller, T & Tschiatschek, S 2023, 'Applying Interdisciplinary Frameworks to Understand Algorithmic Decision-Making', Paper presented at ACM CHI Conference on Human Factors in Computing Systems 2023, Hamburg, Germany, 23/04/23 - 28/04/23. <http://eprints.cs.univie.ac.at/7698/>

Kritzinger, S, Weitzel, D, Pfaff, K & Tschiatschek, S 2023, 'Automated Split Questionnaire Design. A Way Forward in Survey Research?', Paper presented at 10th Conference of the European Survey Research Association (ESRA), Milano, Italy, 17/07/23 - 21/07/23.

Herczeg, P, Leichtfried, M, Forgó, N, Steinacher, R, Römmer-Nossek, B, Böhm, R, Karall, E, Filipovic, A, Kayali, F, Tschiatschek, S, Lieberzeit, P & Lindorfer, M, Guidelines "Umgang mit KI in der Lehre": Handbuch für Lehrende der Universität Wien, 2023, Web publication, Universität Wien, Wien. <https://phaidra.univie.ac.at/o:1879857>

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Projects

Interpretability and Explainability as Drivers to Democracy

Tschiatschek, S. (Project Lead), Möller, T. (Co-Lead) & Coeckelbergh, M. (Co-Lead)

1/10/21 → 30/09/26

Project: Research funding

Talks

Considering Respondents’ Preferences: The Effects of Self-Selecting the Content in Web Survey Questionnaires

Pfaff, K. (Speaker), Kritzinger, S. (Contributor), Tschiatschek, S. (Contributor) & Weitzel, D. (Contributor)

15 Mar 2024

Activity: Talks and presentations › Talk or oral contribution › Science to Science

Automated Split Questionnaire Design: The Way Forward in Survey Research?

Pfaff, K. (Contributor), Kritzinger, S. (Speaker), Tschiatschek, S. (Contributor) & Weitzel, D. (Contributor)

21 Sept 2023

Activity: Talks and presentations › Talk or oral contribution › Science to Science

Automated Split Questionnaire Design: The Way Forward in Survey Research?

Pfaff, K. (Speaker), Kritzinger, S. (Contributor), Tschiatschek, S. (Contributor) & Weitzel, D. (Contributor)

20 Sept 2023

Activity: Talks and presentations › Talk or oral contribution › Science to Science

Machine Learning for Neural Imaging

Tschiatschek, S. (Speaker)

14 Sept 2020

Activity: Talks and presentations › Talk or oral contribution › Science to Science

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