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Number of visits: 40289


13:00 - 15:00

Technical sessions
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

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