An unrefinement algorithm for planar THB-spline parameterizations

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We address the problem of stably and efficiently training a deep neural network robust to adversarial perturbations bounded by an

l_1

norm. We demonstrate that achieving robustness against

l_1

-bounded perturbations is more challenging than in the

l_2

...

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Measurements of radiated power are critical for characterizing and optimizing tokamak performance. The RADCAM system, comprising arrays of foil bolometers, Absolute eXtreme UltraViolet (AXUV), and filtered soft x-ray diodes, has been constructed to provide ...

Removing geometrical details from a complex domain is a classical operation in computer aided design for simulation and manufacturing. This procedure simplifies the meshing process, and it enables faster simulations with less memory requirements. However, ...

Ceramics are highly technical materials with properties of interest for multiple industries. Precisely because of their high chemical, thermal, and mechanical resistance, ceramics are difficult to mold into complex shapes. A possibility to make convoluted ...

Between 1675 and 1676, while in Paris, Gottfried Wilhelm Leibniz (1646–1716) got privileged access to some geometric manuscripts from late Blaise Pascal’s hand. Although said manuscripts are not extant, Leibniz’s reading notes were preserved, together with ...

An unrefinement algorithm for planar THB-spline parameterizations

Chattez avec Graph Search

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Fast ion generation with ICRF waves and beams in the Wendelstein 7-X stellarator

Towards Stable and Efficient Adversarial Training against $l_1$ Bounded Adversarial Attacks

RMAML: Riemannian meta-learning with orthogonality constraints

Retraction-based numerical methods for continuation, interpolation and time integration on manifolds

Reduced order modelling of nonaffine problems on parameterized NURBS multipatch geometries

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Adaptive analysis-aware defeaturing

Tomographic Volumetric Additive Manufacturing of Silicon Oxycarbide Ceramics

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