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Paperback. Condizione: new. Paperback. This book is based on lectures given at the Mathematisches Forschungsinstitut Oberwolfach on Computational Variational Flows in Machine Learning and Optimal Transport. Variational and stochastic flows on measure spaces are ubiquitous in machine learning and generative modeling. Optimal transport and diffeomorphic flows provide powerful frameworks to analyze such trajectories of distributions with elegant notions from differential geometry, such as geodesics, gradient and Hamiltonian flows. Recently, mean field control and mean field games offered a general optimal control variational view on learning problems. The four independent chapters in this book address the question of how the presented tools lead us to better understanding and further development of machine learning and generative models. This book is based on lectures given at the Mathematisches Forschungsinstitut Oberwolfach on Computational Variational Flows in Machine Learning and Optimal Transport. Recently, mean field control and mean field games offered a general optimal control variational view on learning problems. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condizione: Brand New. 268 pages. 9.44x6.61x9.45 inches. In Stock.

Paperback. Condizione: new. Paperback. This book is based on lectures given at the Mathematisches Forschungsinstitut Oberwolfach on Computational Variational Flows in Machine Learning and Optimal Transport. Variational and stochastic flows on measure spaces are ubiquitous in machine learning and generative modeling. Optimal transport and diffeomorphic flows provide powerful frameworks to analyze such trajectories of distributions with elegant notions from differential geometry, such as geodesics, gradient and Hamiltonian flows. Recently, mean field control and mean field games offered a general optimal control variational view on learning problems. The four independent chapters in this book address the question of how the presented tools lead us to better understanding and further development of machine learning and generative models. This book is based on lectures given at the Mathematisches Forschungsinstitut Oberwolfach on Computational Variational Flows in Machine Learning and Optimal Transport. Recently, mean field control and mean field games offered a general optimal control variational view on learning problems. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Condizione: New.

Condizione: new. Questo è un articolo print on demand.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is based on lectures given at the Mathematisches Forschungsinstitut Oberwolfach on Computational Variational Flows in Machine Learning and Optimal Transport .Variational and stochastic flows on measure spaces are ubiquitous in machine learning and generative modeling. Optimal transport and diffeomorphic flows provide powerful frameworks to analyze such trajectories of distributions with elegant notions from differential geometry, such as geodesics, gradient and Hamiltonian flows. Recently, mean field control and mean field games offered a general optimal control variational view on learning problems. The four independent chapters in this book address the question of how the presented tools lead us to better understanding and further development of machine learning and generative models. 268 pp. Englisch.…

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.

Condizione: New. Print on Demand.

Condizione: New. PRINT ON DEMAND.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book is based on lectures given at the Mathematisches Forschungsinstitut Oberwolfach on 'Computational Variational Flows in Machine Learning and Optimal Transport'.Variational and stochastic flows on measure spaces are ubiquitous in machine learning and generative modeling. Optimal transport and diffeomorphic flows provide powerful frameworks to analyze such trajectories of distributions with elegant notions from differential geometry, such as geodesics, gradient and Hamiltonian flows. Recently, mean field control and mean field games offered a general optimal control variational view on learning problems. The four independent chapters in this book address the question of how the presented tools lead us to better understanding and further development of machine learning and generative models.Springer Nature c/o IBS, Benzstrasse 21, 48619 Heek 268 pp. Englisch.…