Titlebook: Resistive Switching: Oxide Materials, Mechanisms, Devices and Operations; Jennifer Rupp,Daniele Ielmini,Ilia Valov Book 2022 Springer Natu

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M. Kubicek,S. Taibl,E. Navickas,H. Hutter,G. Fafilek,J. Fleig space of the fibration ℝ × .ℝ →.with (.,.) ∼ (. + ., (-1) .) being the equivalence relation defining the total space. The leaves are circles, which are 2-fold coverings of the central circle . = 0, except for the central circle itself. If . = . and .:.→ . is the rotation through an angle ., then th

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Ueli Koch,C. Hoessbacher,A. Emboras,J. Leutholdhas been successfully utilized in [Sm2], [P-R], [D1], [E-R1] [Ur], [X13], [X14] and [X15]. Recently, in their monograph [E-R2] Eells-Ratto emphasize the ODE method to the elliptic variational problems. The present chapter is also devoted to the equivariant harmonic maps. Besides single ODE, the redu

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Hong-Yu Chen,Stefano Brivio,Che-Chia Chang,Jacopo Frascaroli,Tuo-Hung Hou,Boris Hudec,Ming Liu,Hangbto understand the working mechanism of deep learning from high-dimensional geometry is offered. Then, different forms of generative models like GAN, VAE, normalizing flows, optimal transport, and so on are desc978-981-16-6048-1978-981-16-6046-7Series ISSN 1612-3956 Series E-ISSN 2198-3283

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Mario Lanza,Umberto Celano,Feng Miaoto understand the working mechanism of deep learning from high-dimensional geometry is offered. Then, different forms of generative models like GAN, VAE, normalizing flows, optimal transport, and so on are desc978-981-16-6048-1978-981-16-6046-7Series ISSN 1612-3956 Series E-ISSN 2198-3283

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Wenhao Chen,Stefan Tappertzhofen,Hugh J. Barnaby,Michael N. Kozickito understand the working mechanism of deep learning from high-dimensional geometry is offered. Then, different forms of generative models like GAN, VAE, normalizing flows, optimal transport, and so on are desc978-981-16-6048-1978-981-16-6046-7Series ISSN 1612-3956 Series E-ISSN 2198-3283

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