Zobrazeno 1 - 10
of 2 907
pro vyhledávání: '"Marien, P."'
In this work we address the problem of finding serendipity versions of approximate de Rham complexes with enhanced regularity. The starting point is a new abstract construction of general scope which, given three complexes linked by extension and red
Externí odkaz:
http://arxiv.org/abs/2407.12625
We report on the experimental observation of non-resonant, second-order optical Sum-Frequency Generation (SFG) in five different atomic and molecular gases. The measured signal is attributed to a SFG process by characterizing its intensity scaling an
Externí odkaz:
http://arxiv.org/abs/2403.18161
Plug-and-Play (PnP) algorithms are a class of iterative algorithms that address image inverse problems by combining a physical model and a deep neural network for regularization. Even if they produce impressive image restoration results, these algori
Externí odkaz:
http://arxiv.org/abs/2402.01779
We design in this work a discrete de Rham complex on manifolds. This complex, written in the framework of exterior calculus, is applicable on meshes on the manifold with generic elements, and has the same cohomology as the continuous de Rham complex.
Externí odkaz:
http://arxiv.org/abs/2401.16130
Autor:
Morell-Ortega, Sergio, Ruiz-Perez, Marina, Gadea, Marien, Vivo-Hernando, Roberto, Rubio, Gregorio, Aparici, Fernando, de la Iglesia-Vaya, Maria, Catheline, Gwenaelle, Coupé, Pierrick, Manjón, José V.
This paper introduces a novel multimodal and high-resolution human brain cerebellum lobule segmentation method. Unlike current tools that operate at standard resolution ($1 \text{ mm}^{3}$) or using mono-modal data, the proposed method improves cereb
Externí odkaz:
http://arxiv.org/abs/2401.12074
Publikováno v:
Civil-Comp Conferences, Volume 5, Paper 4.2, Civil-Comp Press, Edinburgh, United Kingdom, 2023
Since the seminal work of [9] and their Physics-Informed neural networks (PINNs), many efforts have been conducted towards solving partial differential equations (PDEs) with Deep Learning models. However, some challenges remain, for instance the exte
Externí odkaz:
http://arxiv.org/abs/2310.14948
Posterior sampling has been shown to be a powerful Bayesian approach for solving imaging inverse problems. The recent plug-and-play unadjusted Langevin algorithm (PnP-ULA) has emerged as a promising method for Monte Carlo sampling and minimum mean sq
Externí odkaz:
http://arxiv.org/abs/2310.03546
In this paper we prove Poincar\'e inequalities for the Discrete de Rham (DDR) sequence on a general connected polyhedral domain $\Omega$ of $\mathbb{R}^3$. We unify the ideas behind the inequalities for all three operators in the sequence, deriving n
Externí odkaz:
http://arxiv.org/abs/2309.15667
Next generation EUV sources for photolithography use light produced by laser-produced plasmas (LPP) from ablated tin droplets. A major challenge for extending the lifetime of these devices is mitigating damage caused by deposition of tin debris on th
Externí odkaz:
http://arxiv.org/abs/2307.10996
Let $G$ be a graph of even order, and consider $K_G$ as the complete graph on the same vertex set as $G$. A perfect matching of $K_G$ is called a pairing of $G$. If for every pairing $M$ of $G$ it is possible to find a perfect matching $N$ of $G$ suc
Externí odkaz:
http://arxiv.org/abs/2307.04545