Zobrazeno 1 - 10
of 12 563
pro vyhledávání: '"Marchi, P."'
Polynomial reproduction plays a relevant role in deriving error estimates for various approximation schemes. Local reproduction in a quasi-uniform setting is a significant factor in the estimation of error and the assessment of stability but for some
Externí odkaz:
http://arxiv.org/abs/2411.14933
This work proposes to model the space environment as a stochastic dynamic network where each node is a group of objects of a given class, or species, and their relationship is represented by stochastic links. A set of stochastic dynamic equations, go
Externí odkaz:
http://arxiv.org/abs/2411.03173
Quasi-stationary Mean Field Games models consider agents who base their strategies on current information without forecasting future states. In this paper we address the first-order quasi-stationary Mean Field Games system, which involves an ergodic
Externí odkaz:
http://arxiv.org/abs/2409.18483
Shapley values have seen widespread use in machine learning as a way to explain model predictions and estimate the importance of covariates. Accurately explaining models is critical in real-world models to both aid in decision making and to infer the
Externí odkaz:
http://arxiv.org/abs/2408.08845
Autor:
Bandiziol, Cinzia, De Marchi, Stefano
The aim of the present work is a comparative study of different persistence kernels applied to various classification problems. After some necessary preliminaries on homology and persistence diagrams, we introduce five different kernels that are then
Externí odkaz:
http://arxiv.org/abs/2408.07090
Autor:
Levison, Harold F., Marchi, Simone, Noll, Keith S., Spencer, John R., Statler, Thomas S., team, the Lucy mission
Asteroids with diameters less than about 5 km have complex histories because they are small enough for radiative torques, YORP, to be a notable factor in their evolution. (152830) Dinkinesh is a small asteroid orbiting the Sun near the inner edge of
Externí odkaz:
http://arxiv.org/abs/2406.19337
Autor:
De Marchi, Alberto
Necessary optimality conditions in Lagrangian form and the augmented Lagrangian framework are extended to mixed-integer nonlinear optimization, without any convexity assumptions. Building upon a recently developed notion of local optimality for probl
Externí odkaz:
http://arxiv.org/abs/2406.12436
Autor:
De Marchi, Alberto, Themelis, Andreas
Focusing on minimization problems with structured objective function and smooth constraints, we present a flexible technique that combines the beneficial regularization effects of (exact) penalty and interior-point methods. Working in the fully nonco
Externí odkaz:
http://arxiv.org/abs/2406.09901
Autor:
Occhipinti, Daniela, Marchi, Michele, Mondella, Irene, Lai, Huiyuan, Dell'Orletta, Felice, Nissim, Malvina, Guerini, Marco
Automatic methods for generating and gathering linguistic data have proven effective for fine-tuning Language Models (LMs) in languages less resourced than English. Still, while there has been emphasis on data quantity, less attention has been given
Externí odkaz:
http://arxiv.org/abs/2406.07288
We provide a representation of the weak solution of the continuity equation on the Heisenberg group $\mathbb H^1$ with periodic data (the periodicity is suitably adapted to the group law). This solution is the push forward of a measure concentrated o
Externí odkaz:
http://arxiv.org/abs/2406.02145