Výsledky vyhledávání
- 1.0570690 - ÚI 2024 DE eng A - Abstrakt
Paluš, Milan
Non-Shannonian information theory connects inference of causality and understanding of extreme events.
EGU General Assembly 2023 Abstracts. Münich: Copernicus GmbH, 2023.
[EGU General Assembly 2023. 23.04.2023-28.04.2023, Vienna]
Grant ostatní: AV ČR(CZ) AP1901
Program: Akademická prémie - Praemium Academiae
Institucionální podpora: RVO:67985807
https://dx.doi.org/10.5194/egusphere-egu23-10707
Trvalý link: https://hdl.handle.net/11104/0342017Název souboru Staženo Velikost Komentář Verze Přístup 0570690-aoa.pdf 1 296.1 KB OA CC BY 4.0 Vydavatelský postprint povolen - 2.0570107 - ÚI 2023 IN eng A - Abstrakt
Kathpalia, Aditi
Causality and machine learning.
International (Online) Workshop on Reservoir Computing & Neural Networks. Confirmed Speakers. Madras: Complex Systems & Dynamics, Indian Institute of Technology Madras, 2022.
[International (Online) Workshop on Reservoir Computing & Neural Networks. 23.11.2022-24.11.2022, Madras / virtual]
Grant CEP: GA ČR(CZ) GA19-16066S
Grant ostatní: AV ČR(CZ) AP1901
Program: Akademická prémie - Praemium Academiae
Institucionální podpora: RVO:67985807
https://web.iitm.ac.in/ccsd/workshops/reservoir/index.html
Trvalý link: https://hdl.handle.net/11104/0341457 - 3.0570102 - ÚI 2023 DE eng A - Abstrakt
Kathpalia, Aditi - Nagaraj, N.
Multivariate Granger Causal Discovery for Compressively Sensed Signals.
Ordinal methods: Concepts, applications, new developments and challenges. Scientific Program. Dresden: Max Planck Institute for the Physics of Complex Systems, 2022.
[Ordinal methods: Concepts, applications, new developments and challenges. 28.02.2022-04.03.2022]
Grant CEP: GA ČR(CZ) GA19-16066S
Grant ostatní: AV ČR(CZ) AP1901
Program: Akademická prémie - Praemium Academiae
Institucionální podpora: RVO:67985807
https://www.pks.mpg.de/orpatt22/scientific-program
Trvalý link: https://hdl.handle.net/11104/0341455 - 4.0570101 - ÚI 2023 GB eng A - Abstrakt
Kathpalia, Aditi - Nagaraj, N.
Causal Properties of Synchronizing Systems.
Dynamics Days Europe 2022. Abstract Book. Aberdeen: University of Aberdeen, 2022. s. 151-151.
[Dynamics Days Europe 2022. 22.08.2022-26.08.2022, Aberdeen]
Grant CEP: GA ČR(CZ) GA19-16066S
Grant ostatní: AV ČR(CZ) AP1901
Program: Akademická prémie - Praemium Academiae
Institucionální podpora: RVO:67985807
https://www.abdn.ac.uk/events/documents/Dynamics%20Days%20Abstract%20Book%202022%20online%20version%20(002).pdf
Trvalý link: https://hdl.handle.net/11104/0341454 - 5.0570099 - ÚI 2023 GB eng A - Abstrakt
Kathpalia, Aditi - Manshour, Pouya - Paluš, Milan
Robust Causal Inference for Irregularly Sampled Time Series from Dynamical Systems.
Dynamics Days Europe 2022. Abstract Book. Aberdeen: University of Aberdeen, 2022. s. 125-125.
[Dynamics Days Europe 2022. 22.08.2022-26.08.2022, Aberdeen]
Grant CEP: GA ČR(CZ) GA19-16066S
Grant ostatní: AV ČR(CZ) AP1901
Program: Akademická prémie - Praemium Academiae
Institucionální podpora: RVO:67985807
https://www.abdn.ac.uk/events/documents/Dynamics%20Days%20Abstract%20Book%202022%20online%20version%20(002).pdf
Trvalý link: https://hdl.handle.net/11104/0341452 - 6.0570098 - ÚI 2023 DE eng A - Abstrakt
Kathpalia, Aditi - Nagaraj, N.
Multivariate Granger Causal Discovery for Compressively Sensed Signals.
Inverse Network Dynamics - Network structure and function from nonlinear dynamics and time series data. Scientific Program. Dresden: Max Planck Institute for the Physics of Complex Systems, 2022.
[Inverse Network Dynamics - Network structure and function from nonlinear dynamics and time series data. 12.09.2022-21.09.2022, Dresden]
Grant CEP: GA ČR(CZ) GA19-16066S
Grant ostatní: AV ČR(CZ) AP1901
Program: Akademická prémie - Praemium Academiae
Institucionální podpora: RVO:67985807
https://www.pks.mpg.de/netdat22/scientific-program
Trvalý link: https://hdl.handle.net/11104/0341450 - 7.0570096 - ÚI 2023 ES eng A - Abstrakt
Nagaraj, N. - Kathpalia, Aditi
Strengths of Effort-To-Compress Complexity for analyzing time series from complex systems.
Conference on Complex Systems 2022 - Programme at a Glance, Paralell Sessions. Palma de Mallorca: Conference on Complex Systems, 2022.
[CCS 2022: Conference on Complex Systems 2022. 17.10.2022-21.10.2022, Palma de Mallorca]
Grant CEP: GA ČR(CZ) GA19-16066S
Grant ostatní: AV ČR(CZ) AP1901
Program: Akademická prémie - Praemium Academiae
https://www.ccs2022.org/images/Poster%20Sessions%20-%20CCS22-.pdf
Trvalý link: https://hdl.handle.net/11104/0341449 - 8.0570094 - ÚI 2023 ES eng A - Abstrakt
Kathpalia, Aditi - Manshour, Pouya - Paluš, Milan
Permutation Compression-Complexity Causality for robust causal inference from irregularly sampled time series.
Conference on Complex Systems 2022 - Programme at a Glance, Paralell Sessions. Palma de Mallorca: Conference on Complex Systems, 2022.
[CCS 2022: Conference on Complex Systems 2022. 17.10.2022-21.10.2022, Palma de Mallorca]
Grant CEP: GA ČR(CZ) GA19-16066S
Grant ostatní: AV ČR(CZ) AP1901
Program: Akademická prémie - Praemium Academiae
https://www.ccs2022.org/images/site/ParallelSessions-CCS22-.pdf
Trvalý link: https://hdl.handle.net/11104/0341448 - 9.0558332 - ÚI 2023 RIV DE eng A - Abstrakt
Paluš, Milan
Big whirls talking to smaller whirls: detecting cross-scale information flow.
EGU General Assembly 2022. Göttingen: European Geosciences Union, 2022.
[EGU General Assembly 2022. 23.05.2022-27.05.2022, Vienna / Online]
Grant CEP: GA ČR(CZ) GA19-16066S
Grant ostatní: AV ČR(CZ) AP1901
Program: Akademická prémie - Praemium Academiae
Institucionální podpora: RVO:67985807
Klíčová slova: causality * time scales * cross-scale interactions * atmospheric dynamics
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
https://doi.org/10.5194/egusphere-egu22-9028
Trvalý link: http://hdl.handle.net/11104/0332053Název souboru Staženo Velikost Komentář Verze Přístup 0558332-aoa.pdf 1 320.3 KB OA CC BY 4.0 Vydavatelský postprint povolen - 10.0558310 - ÚI 2023 RIV DE eng A - Abstrakt
Manshour, Pouya - Papadimitriou, C. - Balasis, G. - Paluš, Milan - Wing, S. - Daglis, I. A. - Donner, R. - Boutsi, A. Z. - Consolini, G. - Kurths, J. - Tsurutani, B. T.
Causality and information transfer in interactions of solar wind, radiation belts and geomagnetic field.
EGU General Assembly 2022. Göttingen: European Geosciences Union, 2022.
[EGU General Assembly 2022. 23.05.2022-27.05.2022, Vienna / Online]
Grant CEP: GA ČR(CZ) GA19-16066S
Grant ostatní: AV ČR(CZ) AP1901
Program: Akademická prémie - Praemium Academiae
Institucionální podpora: RVO:67985807
Klíčová slova: causality * information transfer * space weather
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
https://doi.org/10.5194/egusphere-egu22-10681
Trvalý link: http://hdl.handle.net/11104/0332035Název souboru Staženo Velikost Komentář Verze Přístup 0558310-aoa.pdf 1 299.2 KB OA CC 4.0 Vydavatelský postprint povolen