Mathis Teva Rocton
Univ.Ass. / MSc
Role
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PreDoc Researcher
Algorithms and Complexity, E192-01
Publications
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Computing Twin-Width Parameterized by the Feedback Edge Number
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Balabán, J., Ganian, R., & Rocton, M. (2024). Computing Twin-Width Parameterized by the Feedback Edge Number. In 41st International Symposium on Theoretical Aspects of Computer Science (STACS 2024) (pp. 7:1-7:19). https://doi.org/10.4230/LIPIcs.STACS.2024.7
Projects: Parameterisierte Analyse in der Künstlichen Intelligenz (2021–2026) / Parameterized Graph Drawing (2023–2027) - PACE Solver Description: Touiouidth / Berthe, G., Codert-Osman, Y., Dobler, A., Morelle, L., Reinald, A., & Rocton, M. (2023). PACE Solver Description: Touiouidth. In N. Misra & M. Wahlström (Eds.), 18th International Symposium on Parameterized and Exact Computation (IPEC 2023) (pp. 38:1-38:4). Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik. https://doi.org/10.4230/LIPIcs.IPEC.2023.38
- New Complexity-Theoretic Frontiers of Tractability for Neural Network Training / Brand, C., Ganian, R., & Rocton, M. T. (2023). New Complexity-Theoretic Frontiers of Tractability for Neural Network Training. In 37th Conference on Neural Information Processing Systems (NeurIPS 2023). NeurIPS 2023: Thirty-seventh Annual Conference on Neural Information Processing Systems, New Orleans, United States of America (the).