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Autori: Pontil Massimiliano

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Naslov The seeds of the future are in the present: A blind exploration of metastable states (Article)
Autori Devergne Timothee  Kostic Vladimir R  Pontil Massimiliano  Parrinello Michele 
Info PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, (2026), vol. 123 br. 5, str. -
Projekat Data Science and Computation Facility; European Union-NextGenerationEU initiative; Italian National Recovery and Resilience Plan from the Ministry of University and Research [PE0000013 CUP J53C22003010006]; EU Project ELIAS [101120237]
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa  
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 ISI/Web of Science  
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 ISI/Web of Science  
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 ISI/Web of Science  
Naslov Batch Greenkhorn Algorithm for Entropic-Regularized Multimarginal Optimal Transport: Linear Rate of Convergence and Iteration Complexity (Proceedings Paper)
Autori Kostic Vladimir R  Salzo Saverio  Pontil Massimiliano 
Info INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 162, (2022), vol. br. , str. -
Ispravka ISI/Web of Science  
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