RNDr. Vít Musil, Ph.D.

Curriculum Vitae

Person-Related Identification Information

• OrcID: 0000-0001-6083-227X
• Scopus Author ID: 57142131700
• ReasearcherID: C-1754-2017A

Employment - Position

• Assistant Professor

Education and Academic Qualifications

• 2018: PhD. in Mathematical Analysis, Faculty of Mathematics and Physics, Charles University
• 2015: RNDr. (Rerum Naturalium Doctor) in Mathematics, Faculty of Mathematics and Physics, Charles University
• 2014: Mgr. in Mathematical Analysis, Faculty of Mathematics and Physics, Charles University

Employment

• Jul 2022 –: Assistant Professor, Faculty of Informatics, Masaryk University
• Dec 2022 – Jun 2022: Researcher, Faculty of Informatics, Masaryk University
• Dec 2020 – Nov 2022: Postdoc, Faculty of Informatics, Masaryk University
• Nov 2018 – Nov 2020: Postdoc, Dipartimento di Matematica e Informatica 'Ulisse Dini', University of Florence
• Oct 2018 – Oct 2020: Postdoc, Institute of Mathematics, Czech Academy of Sciences

Scientific and Research Activities

• Digital Pathology: Computer vision, explainable methods.
• Computer Science: Machine learning (discrete algorithms in deep networks, optimisation, vision), Game theory (security games, planning).
• Mathematics: Functional analysis (functions spaces, embedding and inequalities, optimality problems).

Internship

• May, Aug, Oct -- Nov 2019, Feb, Mar, Jul, Sep 2020, May, Jul 2022: Max Planck Institute for Intelligent Systems, Germany
• Jun 2022, The University of Warwick, Coventry, UK
• Mar 2018, The Ohio State University, Columbus, Ohio, USA
• Jan 2017 – May 2017: Visiting Scholar, The Ohio State University, Columbus, Ohio, USA
• Oct 2016; Jan, Nov 2017; Nov 2018: University of Florence, Italy
• Nov 2015: Brock University, St. Catharines, Canada

Activities Outside University

• 2020 –: European Mathematical Society member
• 2011 –: Czech Mathematical Society and Union of Czech Mathematicians and Physicists member

Major Publications

• PAULUS, Anselm, Georg MARTIUS a Vít MUSIL. LPGD: A General Framework for Backpropagation through Embedded Optimization Layers. Online. In Salakhutdinov R. and Kolter Z. and Heller K. and Weller A. and Oliver N. and Scarlett J. and Berkenkamp F. Proceedings of Machine Learning Research. 235. vyd. Neuveden: ML Research Press, 2024, s. 39989-40014. ISSN 2640-3498. Proceedings of Machine Learning Research info
• SUBHAM SEKHAR, Sahoo, Anselm PAULUS, Marin VLASTELICA, Vít MUSIL, Volodymyr KULESHOV a Georg MARTIUS. Backpropagation through combinatorial algorithms: identity with projection works. In 11th International Conference on Learning Representations, ICLR 2023. 2023. Openreview Poster info
• ROLINEK, Michal, Vít MUSIL, Anselm PAULUS, Marin VLASTELICA, Claudio MICHAELIS a Georg MARTIUS. Optimizing Rank-based Metrics with Blackbox Differentiation. Online. In 978-1-7281-7168-5. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020). Los Alamitos: IEEE COMPUTER SOC, 2020, s. 7617-7627. ISSN 1063-6919. Dostupné z: https://dx.doi.org/10.1109/CVPR42600.2020.00764. Springer info
• ROLÍNEK, Michal, Paul SWOBODA, Dominik ZIETLOW, Anselm PAULUS, Vít MUSIL a Georg MARTIUS. Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers. Online. In Vedaldi A.Bischof H.Brox T.Frahm J. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 12373 LNCS. Springer Science and Business Media Deutschland GmbH, 2020, s. 407-424. ISBN 978-3-030-58603-4. Dostupné z: https://dx.doi.org/10.1007/978-3-030-58604-1_25. Springer info

2024/02/04