Esteve C., Geshkovski B. Sparse approximation in learning via neural ODEs (2021) Abstract. We consider the continuous-time, neural ordinary differential equation (neural ODE) perspective of deep…
View More Sparse approximation in learning via neural ODEsTag: deep learning
Neural ODE Control for Classification, Approximation and Transport
Ruiz-Balet D., Zuazua E. Neural ODE Control for Classification, Approximation and Transport (2021) Abstract. We analyze Neural Ordinary Differential Equations (NODEs) from a control theoretical…
View More Neural ODE Control for Classification, Approximation and TransportLarge-time asymptotics in deep learning
Esteve C., Geshkovski B., Pighin D., Zuazua E. Large-time asymptotics in deep learning (2021). hal-02912516 Abstract. It is by now well-known that practical deep supervised learning…
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HKSIAM Seminar by E. Zuazua: Turnpike control and deep learning
Worldwide. This wednesday November 25th. our Head Enrique Zuazua will be talking about “Turnpike control and deep learning” in the Applied Mathematics Seminars for HKSIAM…
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Large-time asymptotics in Deep Learning by Borjan Geshkovski
Last Friday October 23rd our team member Borjan Geshkovski PhD student at DyCon ERC Project from UAM, gave a talk at “Seminario de estadística” organized…
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Turnpike Control and Deep Learning by Enrique Zuazua at IITK
Worldwide. 08.09.2020. Yesterday, our Head Enrique Zuazua gave a talk about “Turnpike Control and Deep Learning” hosted by IITK – Indian Institute of Technology, Kampur…
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Turnpike Control and Deep Learning at IITK by E. Zuazua
Next tuesday September 8th, our Head Enrique Zuazua will present “Turnpike Control and Deep Learning” on the IITK research seminars organized by IITK- Indian Institute of…
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Turnpike Control and Deep Learning – Fields Institute 2nd Simposium on Machine Learning and Dynamical Systems
Worldwide. 01.09.2020. The Fields Institute for Research in Mathematical Sciences at the University of Toronto, Canada organized the Second Simposium on Machine Learning and Dynamical…
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