Home › 
News › 
dida at BMS conference "Mathematics of Deep Learning"

dida at BMS conference "Mathematics of Deep Learning"

September 6th, 2019

The dida machine learning scientists Lorenz Richter and Konrad Schultka participated in the conference Mathematics of Deep Learning, on the mathematical foundations of deep neural networks and their growing applications. Among others it featured talks on equivariant generalizations of convolutional neural networks (Taco Cohen), on connections to the theory of ordinary and partial differential equations (Eldad Haber), on the non-convex loss landscape of deep neural networks (René Vidal), on alternative learning strategies based on Langevin dynamics (Ben Leimkuhler) and on application to inverse problems and parametric partial differential equations (Gitta Kutyniok).

Up next

© dida & digitalkompakt.de

January 24th, 2020

We are happy to announce our support for IT podcast "Innovate or Die" by publishing house digital kompakt. This format is all about IT management, providing an audience of seasoned IT professionals...

read more

December 9th, 2019

Johan Dettmar, Machine Learning Scientist at dida, was invited to present at the yearly event "National Program for Space travel and Innovation" which is hosted by DLR Raumfahrtmanagement in Bonn,...

read more
© AI-Sprektrum/dida

November 27th, 2019

Together with AI Spektrum we have created a poster about Natural Language Processing (NLP). It describes techniques and methods for pattern...

read more

Find out what dida can do for you