Institute of Mathematics – MATH

© 2021 EPFL

Theory and experiments to understand a contact between two filaments

EPFL

Mechanical engineers and mathematicians at EPFL have joined forces to gain a better understanding of the geometry and mechanics of two filaments in contact – as in the cases of knots and woven fabrics.

This is not an ANN, https://stocksnap.io/

NTK: unlocking the mysteries of deep learning

EPFL

Professor Clément Hongler and his team from the Chair of Statistical Field Theory found a new way of understanding Artificial Neural Networks. Their 2018 paper has gathered a lot of attention from the scientific community and is now frequently used by researchers when they want to understand the training of large neural networks.

Cover "Are you sure?" © EPFL MCV

New podcast from EPFL's College of Humanities asks: are you sure?

EPFL

A newly launched podcast “Are You Sure?” features interviews, in English and in French, with EPFL researchers from different domains as they wrestle with the important question of what it means to be uncertain in science, as well as in their own lives and careers.

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Contact

 
Director
Prof. Victor Panaretos
Office: MA B1 503
Tel: +41 (0)21 69 32597
E-mail: [email protected]
Mailing Address
Institute of Mathematics
EPFL SB MATH
MA C2 647 (Bâtiment MA) 
Station 8
CH-1015 Lausanne
Switzerland
 

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Secretary
Virginie Ledouble
Office: MA C2 647
Tel: +41 (0)21 69 35585
Secretary
Carole Weissenberger
Office: MA B2 477
Tel: +41 (0)21 69 37648