Search results
- 1.0586059 - ÚI 2025 eng A - Abstract
Kůrková, Věra
Multivariable function approximation by ReLU networks with increasing depth.
[Workshop Stable Neuromorphic Computations. London, 29.04.2024-30.04.2024]
Method of presentation: Zvaná přednáška
Event organizer: King's College London
Institutional support: RVO:67985807
Permanent Link: https://hdl.handle.net/11104/0353659 - 2.0566358 - ÚI 2023 eng A - Abstract
Kůrková, Věra
Some implications of high-dimensional geometry for classification by neural networks.
[SOFSEM 2023: International Conference on Current Trends in Theory and Practice of Computer Science /48./. Nový Smokovec, 15.01.2023-19.01.2023]
Method of presentation: Zvaná přednáška
URL events: https://ics.science.upjs.sk/sofsem2023/
Institutional support: RVO:67985807
Permanent Link: https://hdl.handle.net/11104/0337701 - 3.0561016 - ÚI 2023 eng A - Abstract
Kůrková, Věra
Lower bounds on complexity of shallow networks.
[Workshop on Dynamical Systems and Brain Inspired Information Processing. Konstanz, 31.07.2019-31.07.2019]
Method of presentation: Zvaná přednáška
Institutional support: RVO:67985807
https://juanpabloortegalahuerta.files.wordpress.com/2022/02/workshop_konstanz.pdf
Permanent Link: https://hdl.handle.net/11104/0333764File Download Size Commentary Version Access workshop_konstanz.pdf 0 683.6 KB Other open-access - 4.0560953 - ÚI 2023 eng A - Abstract
Kůrková, Věra
Limitations of neural shallow networks. Keynote plenary lecture.
[ICANN 2016. International Conference on Artificial Neural Networks /25./. Barcelona, 06.09.2016-09.09.2016]
Method of presentation: Zvaná přednáška
Event organizer: BarcelonaTech, Universitat Polit`ecnica de Catalunya
Institutional support: RVO:67985807
https://e-nns.org/icann2016/index.php/conference-programme/keynote-speakers/
Permanent Link: https://hdl.handle.net/11104/0333724File Download Size Commentary Version Access ICANN 2016 Keynote speakers .pdf 5 135.4 KB Other open-access - 5.0560952 - ÚI 2023 eng A - Abstract
Kůrková, Věra
Some Implications of interval approach to dimension for network complexity.
[ESCIM 2017. European Symposium on Computational Intelligence and Mathematics /9./. Faro, 04.08.2017-07.08.2017]
Method of presentation: Zvaná přednáška
Institutional support: RVO:67985807
http://escim2017.uca.es/program/keynote-speakers/
Permanent Link: https://hdl.handle.net/11104/0333723 - 6.0560951 - ÚI 2023 eng A - Abstract
Kůrková, Věra
Complexity of shallow and deep networks. Tutorial.
[INNSBDDL 2019: INNS Big Data and Deep Learning /4./. Sestri Levante, 16.04.2019-18.04.2019]
Method of presentation: Zvaná přednáška
Event organizer: International Neural Network Society
Institutional support: RVO:67985807
https://innsbddl2019.wordpress.com/tutorial/
Permanent Link: https://hdl.handle.net/11104/0333722 - 7.0560950 - ÚI 2023 eng A - Abstract
Kůrková, Věra
Limitations of shallow networks. Keynote plenary lecture.
[IJCNN 2019. International Joint Conference on Neural Networks /32./. Budapest, 14.07.2019-19.07.2019]
Method of presentation: Zvaná přednáška
Event organizer: International Neural Network Society
Institutional support: RVO:67985807
https://injcnn.memberclicks.net/assets/IJCNN2019PreliminaryProgramme.pdf
Permanent Link: https://hdl.handle.net/11104/0333721File Download Size Commentary Version Access ijcnn2019-program-Jun29-largefont-v2(1).pdf 6 3.4 MB p. 5 Plenary Talk Other open-access - 8.0560949 - ÚI 2023 eng A - Abstract
Kůrková, Věra
Some implications of high-dimensional geometry for neurocomputing.
[MML 2021. Mathematics of Machine Learning. Bielefeld, 04.08.2021-07.08.2021]
Method of presentation: Zvaná přednáška
Event organizer: Max Planck Institute for Mathematics in the Sciences
Institutional support: RVO:67985807
https://www.mis.mpg.de/calendar/conferences/2021/mml2021/speakers1.html
Permanent Link: https://hdl.handle.net/11104/0333720 - 9.0560948 - ÚI 2023 eng A - Abstract
Kůrková, Věra
Some implications of high-dimensional geometry for neurocomputing. Keynote plenary lecture (Taylor Memorial Lecture).
[ICANN 2022. International Conference on Artificial Neural Networks /31./. Bristol, 06.09.2022-09.09.2022]
Method of presentation: Zvaná přednáška
Event organizer: Department of Computer Science and Creative Technologies of the University of the West of England, Bristol
Institutional support: RVO:67985807
https://e-nns.org/icann2022/keynote-speakers/
Permanent Link: https://hdl.handle.net/11104/0333719File Download Size Commentary Version Access Keynote speakers – ICANN 2022.pdf 3 1.4 MB Other open-access - 10.0523714 - ÚI 2021 IT eng A - Abstract
Kůrková, Věra - Sanguineti, M.
Probabilistic Tools for Optimization of Classifiers on Large Data Sets.
ODS 2019. Book of Abstracts. Genova: AIRO - Italian Operations Research Society, 2019. s. 75-75.
[ODS 2019: International Conference on Optimization and Decision Science /49./. 04.09.2019-07.09.2019, Genova]
R&D Projects: GA ČR(CZ) GA18-23827S
Institutional support: RVO:67985807
Keywords : Classification * Optimization of Computational Models * Concentration of Measures * Azuma-Hoeffding Inequality
Permanent Link: http://hdl.handle.net/11104/0308024File Download Size Commentary Version Access 0523714-a.pdf 1 29.5 KB Publisher’s postprint require