Abstract: The rendering of an implicit surface requires many function evaluations of the underlying implicit function. The time efficiency of the rendering is dominated by the number of function ...

1 Inria, Centre de Vision Numérique, CentraleSupélec, Université Paris-Saclay, Gif-sur-Yvette, France 2 Air Mobility Solutions BL, Thales LAS, Rungis, France The stability of neural networks with ...

Abstract In this paper, the authors establish the boundedness of commutators generated by Calderón-Zygmund singular integral operators and weighted Lipschitz functions on weighted Morrey-Herz spaces.

Abstract: In this paper, a smoothing neural network (SNN) is proposed for a class of constrained non-Lipschitz optimization problems, where the objective function is the sum of a nonsmooth, nonconvex ...

TL;DR: We propose an efficient and trainable local Lipscthiz bound for training certifibly robust neural networks. Certified robustness is a desirable property for deep neural networks in ...

This is a repo for learning trustworthy reachability sets of high-dimensional nonlinear systems using a newly proposed Lipschitz continuous reachability value function. We also propose two efficient ...

An illustration of a magnifying glass. An illustration of a magnifying glass.