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| MS04 - Mathematics of AI Invited Session organized by Mats G. Larson | TuA02I Room: Room1 Chair: Mats G. Larson |
Smaller generalization error derived for a deep residual neural network compared to shallow networks Aku Kammonen, Jonas Kiessling, Petr Plechac, Mattias Sandberg, Anders Szepessy and Raul Tempone Abstract |
Time integration for optimization problems arising in supervised learning Tony Stillfjord, Monika Eisenmann and Måns Williamson Abstract |
ADAPTIVE RANDOM FOURIER FEATURES BASED ON METROPOLIS SAMPLING A. Kammonen, J. Kiessling, P. Plecháč, M. Sandberg, A. Szepessy and R. Tempone Abstract |
Uncertainty analysis of mathematical models and deep neural networks Vilho Halonen, Ilkka Pölönen and Sergey Repin Abstract |
MATHEMATICAL ASPECTS ON MACHINE LEARNING PROCESS FOR A 3D MORPHOLOGICAL ANALYSIS FROM SECTIONAL IMAGES SEQUENCES J. A. Rodrigues Abstract |
