Performance assessment of pressurized fluid-distribution networks

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Chaining Meets Chain Rule: Multilevel Entropic Regularization and Training of Neural Networks

We derive generalization and excess risk bounds for neural networks using a family of complexity measures based on a multilevel relative entropy. The bounds are obtained by introducing the notion of generated hierarchical coverings of neural networks and b ...

Microtome Publishing2020

The population genetics of crypsis in vertebrates: recent insights from mice, hares, and lizards

Jeffrey David Jensen, Kristen Kay Irwin, Susanne Petra Pfeifer, Stefan Jean Laurent

By combining well-established population genetic theory with high-throughput sequencing data from natural populations, major strides have recently been made in understanding how, why, and when vertebrate populations evolve crypsis. Here, we focus on backgr ...

NATURE PUBLISHING GROUP2020

Analyzing four decades of literature on urban planning studies in Africa (1980–2020)

Jérôme Chenal, Armel Firmin Kemajou Mbianda, Akuto Akpedze Konou, Rémi Jaligot

Although rapid population growth will give them a significant weight in global urbanization by the middle of the century, African cities remain little known. As a result, they are essentially outside the global intellectual arena on urban issues, which jus ...

2020

Multidisciplinary Approach to Treat Erectile Dysfunction

Mikaël Nils Sturny

Erectile dysfunction (ED) is a widespread disease affecting approximately 20% of men. With a rising incidence due to the global ageing of the world population, it is estimated that over 322 million patients will be affected in 2025. While not being a lifet ...

EPFL2020

On Smart-Buildings and their Integration into the Smart-Grid

Olivier Valentin Henri Van Cutsem

Today's electrical grid is undergoing deep changes, resulting from the large integration of distributed Renewable Energy Sources (RES) in an effort to decarbonize the generation of electrical energy. In addition to the emergence of this volatile electricit ...

EPFL2020

Information Theoretic Characterization of Uncertainty Distinguishes Surprise From Accuracy Signals in the Brain

Leyla Loued-Khenissi, Kerstin Preuschoff

Uncertainty presents a problem for both human and machine decision-making. While utility maximization has traditionally been viewed as the motive force behind choice behavior, it has been theorized that uncertainty minimization may supersede reward motivat ...

2020

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