Filtrování

    2026

    1. Increasingly global convergence of Hermite series J - Článek v odborném periodiku
      MUSIL, Vít a S. SPEKTOR. Increasingly global convergence of Hermite series. JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS. SAN DIEGO: ACADEMIC PRESS INC ELSEVIER SCIENCE, 2026, roč. 558, č. 2, s. 1-24. ISSN 0022-247X. Dostupné z: https://doi.org/10.1016/j.jmaa.2025.130360.

    2025

    1. MUSIL, Vít; Luboš PICK a Jakub TAKÁČ. Almost compact embeddings between Orlicz and Lorentz spaces. Journal of Functional Analysis. SAN DIEGO: Elsevier, 2025, roč. 288, č. 11, s. 1-20. ISSN 0022-1236. Dostupné z: https://doi.org/10.1016/j.jfa.2025.110859.
    2. KREBS, Martin; Jan OBDRŽÁLEK; Vít MUSIL a Tomáš BRÁZDIL. Beyond Occlusion: In Search for Near Real-Time Explainability of CNN-Based Prostate Cancer Classification. Online. In 2025 IEEE 22nd International Symposium on Biomedical Imaging, ISBI. NEW YORK: IEEE, 2025, s. 1-5. ISBN 979-8-3315-2053-3. Dostupné z: https://doi.org/10.1109/ISBI60581.2025.10980802.
    3. MALÝ, Jan; Zdeněk MIHULA; Vít MUSIL a Luboš PICK. Maximal noncompactness of embeddings into Marcinkiewicz spaces. ANNALI DI MATEMATICA PURA ED APPLICATA. HEIDELBERG: SPRINGER HEIDELBERG, 2025, roč. 204, č. 6, s. 2633-2658. ISSN 0373-3114. Dostupné z: https://doi.org/10.1007/s10231-025-01585-w.
    4. KLAŠKA, David; Antonín KUČERA; Vojtěch KŮR; Vít MUSIL a Vojtěch ŘEHÁK. Multiple Mean-Payoff Optimization Under Local Stability Constraints. Online. In Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 39 No. 25: AAAI-25 Technical Tracks 25. Palo Alto: AAAI, 2025, s. 26551-26558. ISBN 978-1-57735-897-8. Dostupné z: https://doi.org/10.1609/aaai.v39i25.34856.
    5. Strojové učení v digitální patologii J - Článek v odborném periodiku
      BRÁZDIL, Tomáš; Vít MUSIL; Karel ŠTĚPKA; Adam KUKUČKA; Rudolf NENUTIL; Adam BAJGER a Petr HOLUB. Strojové učení v digitální patologii. Ceskoslovenska Patologie. Nakladatelske Stredisko CLSJE Purkyne, 2025, roč. 61, č. 2, s. 58-69. ISSN 0009-0611.
    6. Úvod do strojového učení pro patology J - Článek v odborném periodiku
      BRÁZDIL, Tomáš; Adam KUKUČKA; Vít MUSIL; Rudolf NENUTIL a Petr HOLUB. Úvod do strojového učení pro patology. Ceskoslovenska Patologie. Nakladatelske Stredisko CLSJE Purkyne, 2025, roč. 61, č. 1, s. 11-21. ISSN 0009-0611.

    2024

    1. 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.
    2. KLAŠKA, David; Antonín KUČERA; Vojtěch KŮR; Vít MUSIL a Vojtěch ŘEHÁK. Optimizing Local Satisfaction of Long-Run Average Objectives in Markov Decision Processes. In Wooldridge M., Dy J., Natarajan S. Proceedings of 38th Annual AAAI Conference on Artificial Intelligence (AAAI 2024). Washington, DC,. Neuveden: AAAI Press, 2024, s. 20143-20150. ISBN 978-1-57735-887-9. Dostupné z: https://doi.org/10.1609/aaai.v38i18.29993.

    2023

    1. 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.
    2. KLAŠKA, David; Antonín KUČERA; Vít MUSIL a Vojtěch ŘEHÁK. Mean Payoff Optimization for Systems of Periodic Service and Maintenance. Online. In Edith Elkind. Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, IJCAI 2023,. Neuveden: International Joint Conferences on Artificial Intelligence, 2023, s. 5386-5393. ISBN 978-1-956792-03-4. Dostupné z: https://doi.org/10.24963/ijcai.2023/598.
    3. CIANCHI, Andrea; Vít MUSIL a Luboš PICK. Optimal Sobolev embeddings for the Ornstein-Uhlenbeck operator. Journal of Differential Equations. San Diego, CA USA: ACADEMIC PRESS INC ELSEVIER SCIENCE, 2023, roč. 359, č. 1, s. 414-475. ISSN 0022-0396. Dostupné z: https://doi.org/10.1016/j.jde.2023.02.035.
    4. Optimality problems in Orlicz spaces J - Článek v odborném periodiku
      MUSIL, Vít; Luboš PICK a Jakub TAKÁČ. Optimality problems in Orlicz spaces. Advances in Mathematics. SAN DIEGO: ACADEMIC PRESS INC ELSEVIER SCIENCE, 2023, roč. 432, November 1, s. 1-58. ISSN 0001-8708. Dostupné z: https://doi.org/10.1016/j.aim.2023.109273.
    5. KLAŠKA, David; Antonín KUČERA; Martin KUREČKA; Vít MUSIL; Petr NOVOTNÝ a Vojtěch ŘEHÁK. Synthesizing Resilient Strategies for Infinite-Horizon Objectives in Multi-Agent Systems. Online. In Edith Elkind. Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, IJCAI 2023,. Neuveden: International Joint Conferences on Artificial Intelligence, 2023, s. 171-179. ISBN 978-1-956792-03-4. Dostupné z: https://doi.org/10.24963/ijcai.2023/20.

    2022

    1. KLAŠKA, David; Antonín KUČERA; Vít MUSIL a Vojtěch ŘEHÁK. General Optimization Framework for Recurrent Reachability Objectives. Online. In Luc De Raedt. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, IJCAI 2022. Neuveden: ijcai.org, 2022, s. 4642-4648. ISBN 978-1-956792-00-3. Dostupné z: https://doi.org/10.24963/ijcai.2022/644.
    2. KLAŠKA, David; Antonín KUČERA; Vít MUSIL a Vojtěch ŘEHÁK. Minimizing Expected Intrusion Detection Time in Adversarial Patrolling. Online. In Piotr Faliszewski, Viviana Mascardi, Catherine Pelachaud, Matthew E. Taylor. 21st International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2022. Neuveden: International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), 2022, s. 1660-1662. ISBN 978-1-4503-9213-6. Dostupné z: https://doi.org/10.5555/3535850.3536068.
    3. CIANCHI, Andrea; Vít MUSIL a Luboš PICK. On the Existence of Extremals for Moser-Type Inequalities in Gauss Space. INTERNATIONAL MATHEMATICS RESEARCH NOTICES. ENGLAND: OXFORD UNIV PRESS, 2022, roč. 2022, č. 2, s. 1494-1537. ISSN 1073-7928. Dostupné z: https://doi.org/10.1093/imrn/rnaa165.
    4. BRÁZDIL, Tomáš; David KLAŠKA; Antonín KUČERA; Vít MUSIL; Petr NOVOTNÝ a Vojtěch ŘEHÁK. On-the-fly Adaptation of Patrolling Strategies in Changing Environments. Online. In James Cussens, Kun Zhang. Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, UAI 2022. Neuveden: Proceedings of Machine Learning Research, 2022, s. 244-254. ISBN 978-1-7138-6329-8.

    2021

    1. PAULUS, Anselm; Michal ROLÍNEK; Vít MUSIL; Brandon AMOS a Georg MARTIUS. CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints. Online. In Meila, M; Zhang, T. INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 139. 139. vyd. SAN DIEGO: JMLR-JOURNAL MACHINE LEARNING RESEARCH, 2021, s. 8443-8453. ISBN 978-1-7138-4506-5.
    2. Maximal Non-compactness of Sobolev Embeddings J - Článek v odborném periodiku
      LANG, Jan; Vít MUSIL; Miroslav OLŠÁK a Luboš PICK. Maximal Non-compactness of Sobolev Embeddings. Journal of Geometric Analysis. NEW YORK: Springer, 2021, roč. 31, č. 9, s. 9406-9431. ISSN 1050-6926. Dostupné z: https://doi.org/10.1007/s12220-020-00522-y.
    3. KLAŠKA, David; Antonín KUČERA; Vojtěch ŘEHÁK a Vít MUSIL. Regstar: Efficient Strategy Synthesis for Adversarial Patrolling Games. Online. In de Campos, Cassio and Maathuis, Marloes H. Proceedings of 37th Conference on Uncertainty in Artificial Intelligence (UAI 2021). Neuveden: AUAI Press, 2021, s. 471-481. ISSN 2640-3498.
    4. CIANCHI, Andrea; Vít MUSIL a Luboš PICK. Sharp exponential inequalities for the Ornstein-Uhlenbeck operator. Journal of Functional Analysis. SAN DIEGO: Elsevier, 2021, roč. 281, č. 11, 68 s. ISSN 0022-1236. Dostupné z: https://doi.org/10.1016/j.jfa.2021.109217.

    2020

    1. EDMUNDS, David E.; Zdeněk MIHULA; Vít MUSIL a Luboš PICK. Boundedness of classical operators on rearrangement-invariant spaces. Journal of Functional Analysis. SAN DIEGO: Elsevier, 2020, roč. 278, č. 4, 56 s. ISSN 0022-1236. Dostupné z: https://doi.org/10.1016/j.jfa.2019.108341.
    2. 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://doi.org/10.1007/978-3-030-58604-1_25.
    3. VLASTELICA, Marin; Anselm PAULUS; Vít MUSIL; Georg MARTIUS a Michal ROLÍNEK. Differentiation of Blackbox Combinatorial Solvers. Online. In 8th International Conference on Learning Representations, ICLR 2020. International Conference on Learning Representations, ICLR, 2020, s. 0-19, 19 s.
    4. Moser inequalities in Gauss space J - Článek v odborném periodiku
      CIANCHI, Andrea; Vít MUSIL a Luboš PICK. Moser inequalities in Gauss space. Mathematische Annalen. Germany: Springer Berlin Heidelberg, 2020, roč. 377, 3-4, s. 1265-1312. ISSN 0025-5831. Dostupné z: https://doi.org/10.1007/s00208-020-01956-z.
    5. 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://doi.org/10.1109/CVPR42600.2020.00764.
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