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Related publications (86)

UCLID-Net: Single View Reconstruction in Object Space

Pascal Fua, Benoît Alain René Guillard, Edoardo Remelli

Most state-of-the-art deep geometric learning single-view reconstruction approaches rely on encoder-decoder architectures that output either shape parametrizations or implicit representations. However, these representations rarely preserve the Euclidean st ...

2020

Multipatch approximation of the de Rham sequence and its traces in isogeometric analysis

Annalisa Buffa, Rafael Vazquez Hernandez

We define a conforming B-spline discretisation of the de Rham complex on multipatch geometries. We introduce and analyse the properties of interpolation operators onto these spaces which commute w.r.t. the surface differential operators. Using these result ...

2020

Semi-discrete optimal transport: a solution procedure for the unsquared Euclidean distance case

Valentin Hartmann

We consider the problem of finding an optimal transport plan between an absolutely continuous measure and a finitely supported measure of the same total mass when the transport cost is the unsquared Euclidean distance. We may think of this problem as close ...

SPRINGER HEIDELBERG2020

Characterization of image spaces of Riemann-Liouville fractional integral operators on Sobolev spaces W-m,W-p (omega)

Jan Sickmann Hesthaven, Lijing Zhao

Fractional operators are widely used in mathematical models describing abnormal and nonlocal phenomena. Although there are extensive numerical methods for solving the corresponding model problems, theoretical analysis such as the regularity result, or the ...

SCIENCE PRESS2020

Abitare oltre la pandemia: verso un nuovo habitat domestico

Boris Hamzeian

The search for ways of living adapted to the changes of society is gaining in importance in the context of the current Coronavirus pandemic. The domestic confinement, in fact, is revealing as never before the inadequacy of our homes to contemporary life. T ...

2020

A General Theory of Equivariant CNNs on Homogeneous Spaces

Mario Geiger

We present a general theory of Group equivariant Convolutional Neural Networks (G-CNNs) on homogeneous spaces such as Euclidean space and the sphere. Feature maps in these networks represent fields on a homogeneous base space, and layers are equivariant ma ...

NEURAL INFORMATION PROCESSING SYSTEMS (NIPS)2019

La géothermie, ce potentiel inexploité: interview de Lyesse Laloui, professeur à l'EPFL

Prof. Laloui gave an interview with RTS about the status of geothermal energy in Switzerland in relation to its progression in other countries. Prof. Laloui discussed how the challenges associated with geothermal energy are primarily technical and how the ...

2018

Participation as Relational Space: A Critical Approach to Analysing Participation in Sustainability Research

Claudia Rebeca Binder Signer, Livia Bianca Fritz

In the field of sustainability, scholars, and policy-makers herald the transformative power of participation in knowledge production. However, a discrepancy between these expectations and the limited understanding of the complex interactions constituting p ...

2018

Theory Space: The Architecture Studio

Emmanuel Petit

Somewhere around the late 60's, the architectural studio underwent a 'conceptual' turn which, some fifty years later, would unknowingly become the model for the now fashionable 'start-up', 'business incubator' and 'think-tank' spaces that have sprung up fr ...

2018

The contours of participation spaces: an empirical enquiry into the making of participation in sustainability research

Claudia Rebeca Binder Signer, Livia Bianca Fritz

Confronted with complex societal problems, science funding bodies have been calling for the participation of non-scientific actors in the production of allegedly more ‘robust’ knowledge. While in the field of sustainability these trends in science policy h ...

2018

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