Modeling of ferroelectric hysteresis as variational inequality. GAMM-Mitteilungen, (34)1:84--89, WILEY-VCH Verlag, 2011. [PUMA: Ferroelectric Principle Variational dissipation hysteresis, ians inequality, maximum of vorlaeufig] URL
Modeling of ferroelectric hysteresis as variational inequality. GAMM-Mitteilungen, (34)1:84--89, WILEY-VCH Verlag, 2011. [PUMA: Ferroelectric Principle Variational dissipation from:mhartmann hysteresis, ians inequality, maximum of vorlaeufig] URL
Modeling of ferroelectric hysteresis as variational inequality. GAMM-Mitteilungen, (34)1:84--89, WILEY-VCH Verlag, 2011. [PUMA: Ferroelectric Principle Variational dissipation hysteresis, inequality, maximum of vorlaeufig] URL
Variational Autoencoders for Learning Latent Representations of Speech Emotion. arXiv preprint arXiv:1712.08708, 2017. [PUMA: Emotion IEMOCAP Recognition, auto-encoder, autoencoder, learning, representation variational]
Adversarial autoencoders. arXiv preprint arXiv:1511.05644, 2015. [PUMA: GAN, adversarial auto-encoder, autoencoder, dimensionality generative models, reduction semi-supervised, unsupervised, variational]
On the Influence of Polynomial De-aliasing on Subgrid Scale Models. FLOW TURBULENCE AND COMBUSTION, (97)2:475-511, SPRINGER, VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS, September 2016. [PUMA: Collocation} De-aliasing; Galerkin; Large Smagorinsky Stability; Variational eddy method; model; multiscale simulation; {Discontinuous]