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Naslov Laplace Transform Based Low-Complexity Learning of Continuous Markov Semigroups (Proceedings Paper)
Autori Kostic Vladimir R Lounici Karim Halconruy Helene Devergne Timothee Novelli Pietro Pontil Massimiliano 
Info INTERNATIONAL CONFERENCE ON MACHINE LEARNING, (2025), vol. 267 br. , str. 31560-31589
Projekat EU Project ELIAS [101120237]; European Union; Italian National Recovery and Resilience Plan through the Ministry of University and Research (MUR) [PE0000013 CUP J53C22003010006]; French National Research Agency [ANR-24-CE40-3341]
Ispravka Web of Science  
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Naslov Sharp Spectral Rates for Koopman Operator Learning (Proceedings Paper)
Autori Kostic Vladimir R Lounici Karim Novelli Pietro Pontil Massimiliano 
Info ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 36 (NEURIPS 2023), (2023), vol. br. , str. -
Projekat PNRR MUR Project - European Union - NextGenerationEU [PE000013 CUP J53C22003010006]; EU Project ELIAS [101120237]
Ispravka Web of Science  
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Naslov Estimating Koopman operators with sketching to provably learn large scale dynamical systems (Proceedings Paper)
Autori Meanti Giacomo Chatalic Antoine Kostic Vladimir R Novelli Pietro Pontil Massimiliano Rosasco Lorenzo 
Info ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 36 (NEURIPS 2023), (2023), vol. br. , str. -
Projekat European Research Council (ERC) under the European Union [819789]; European Research Council [SLING 819789]; AFOSR [FA9550-18-1-7009, FA9550-17-1-0390, BAA-AFRL-AFOSR2016-0007]; (European Office of Aerospace Research and Development); EU H2020-MSCA-RISE project [NoMADS -DLV-777826]; Center for Brains, Minds and Machines (CBMM) - NSF STC [CCF-1231216, PE0000013-FAIR]; European Union [951847, 101070617]
Ispravka Web of Science  
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