Tomasz Wąs

I do research in computational social choice and network science. Currently, I am a postdoc at LAMSADE in Paris where I work with Jérôme Lang and Dominik Peters.

Timestamps

10/2023 – I started a postdoc at LAMSADE in Paris where I work with Jérôme Lang and Dominik Peters.
05/2023 – My PhD thesis received an honorable mention in the Polish Artificial Intelligence Society PhD thesis contest.
05/2023 – I helped in the organization of the 5th Games, Agents, and Incentives Workshop.
03/2023 – Our paper on axiomatic characterization of PageRank has been accepted to Artificial Intelligence journal.
08/2022 – I moved to Pennsylvania and started my postdoc position at Penn State University in Hadi Hosseini's research group.
07/2022 – I have defended my PhD thesis about axiomatization of centrality measures and it was awarded an honorary distinction.
03/2022 – I started working in the PRAGMA project as part of Piotr Faliszewski's lab at AGH University.
12/2019 – I have co-organized the ML in PL '19 Conference.
12/2018 – I have co-organized the PL in ML '18 Conference and co-founded the ML in PL Association.
03/2018 – I won the Data Science Masters contest for the best master thesis in machine learning and data science in Poland for the year 2017.
10/2017 – I started my PhD studies at the MIM faculty of the University of Warsaw.
07/2017 – I started working in the Centrality Measures: from Theory to Applications project under the supervision of Oskar Skibski.

List of Publications

P. Faliszewski, A. Kaczmarczyk, K. Sornat, S. Szufa, T. Wąs, Diversity, Agreement, and Polarization in Elections, In Proceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI-23), pp. 2684–2692. [pdf, arxiv, poster]
H. Hosseini, A. Mammadov, T. Wąs, Fairly Allocating Goods and (Terrible) Chores, In Proceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI-23), pp. 2738–2746. [pdf, arxiv]
T. Wąs, O. Skibski, Axiomatic Characterization of PageRank, Artificial Intelligence 318 (AIJ), 103900, 2023. [arxiv, journal]
N. Boehmer, J.-Y. Cai, P. Faliszewski, A. Z. Fan, Ł. Janeczko, A. Kaczmarczyk, T. Wąs, Properties of Position Matrices and Their Elections, In Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI-23), pp. 5507–5014. [pdf, arxiv]
N. Boehmer, P. Faliszewski, R. Niedermeier, S. Szufa, T. Wąs, Understanding Distance Measures Among Elections, In Proceedings of the 31st International Joint Conference on Artificial Intelligence (IJCAI-22), pp. 102–108. [pdf, arxiv, poster]
N. Kucharczuk, T. Wąs, O. Skibski, PageRank for Edges: Axiomatic Characterization, In Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI-22), pp. 5108–5115. [pdf, arxiv, poster]
T. Wąs, O. Skibski, An Axiom System for Feedback Centralities, In Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI-21), pp. 443–449. [pdf, arxiv, poster]
T. Wąs, M. Waniek, T. Rahwan, T. Michalak, The Manipulability of Centrality Measures—An Axiomatic Approach, In Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems (AAMAS-20), pp. 1467–1475. [pdf]
T. Wąs, T. Rahwan, O. Skibski, Random Walk Decay Centrality, In Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI-19), pp. 2197–2204. [pdf]
T. Wąs, O. Skibski, Axiomatization of the PageRank Centrality, In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI-18), pp. 3898–3904. [pdf]
An improved and extended version of this work can be found here.
T. Wąs, O. Skibski, An Axiomatization of the Eigenvector and Katz Centralities, In Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI-18), pp. 1258–1265. [pdf]

My PhD Thesis (2022).

My Google Scholar profile.