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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 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 Web of Science   Članak   Elečas   Rang časopisa  
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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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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 Web of Science  
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