Publications associées (14)

Robust Generalization despite Distribution Shift via Minimum Discriminating Information

Daniel Kuhn, Andreas Krause, Tobias Sutter

Training models that perform well under distribution shifts is a central challenge in machine learning. In this paper, we introduce a modeling framework where, in addition to training data, we have partial structural knowledge of the shifted test distribut ...
2021

Integrated approach for auto-adaptive synchronous motor winding

Florian Louis Copt

The intrinsic characteristic of a permanent magnet synchronous motor is defined by its internal dimensions, its material properties, as well as the power supply used in conjunction with the motor. When an extended operating range is desired but the electro ...
EPFL2018

Biomechanics of Vascular Wall

Rana Saitta-Rezakhaniha

This thesis contributes to the field of biomechanics of vascular wall. The focus is particularly on the microstructure of vascular elastin and collagen constituents and their contribution to the macroscopic mechanical behavior of the wall. The analysis is ...
EPFL2010

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