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pro vyhledávání: '"P, Leclaire"'
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
In this work, we present new proofs of convergence for Plug-and-Play (PnP) algorithms. PnP methods are efficient iterative algorithms for solving image inverse problems where regularization is performed by plugging a pre-trained denoiser in a proxima
Externí odkaz:
http://arxiv.org/abs/2311.01216
Boreal moss-microbe interactions are revealed through metagenome assembly of novel bacterial species
Autor:
Sarah Ishak, Jonathan Rondeau-Leclaire, Maria Faticov, Sébastien Roy, Isabelle Laforest-Lapointe
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract Moss-microbe interactions contribute to ecosystem processes in boreal forests. Yet, how host-specific characteristics and the environment drive the composition and metabolic potential of moss microbiomes is still poorly understood. In this s
Externí odkaz:
https://doaj.org/article/71d0dd4de3e3468592755bb3a7b80777
A light breeze rising over calm water initiates an intricate chain of events that culminates in a centimeters-deep turbulent shear layer capped by gravity-capillary ripples. At first, viscous stress accelerates a laminar wind-drift layer until small
Externí odkaz:
http://arxiv.org/abs/2307.15291
Autor:
Wagner, Gregory LeClaire, Hillier, Adeline, Constantinou, Navid C., Silvestri, Simone, Souza, Andre, Burns, Keaton, Hill, Chris, Campin, Jean-Michel, Marshall, John, Ferrari, Raffaele
We describe CATKE, a parameterization for fluxes associated with small-scale or "microscale" ocean turbulent mixing on scales between 1 and 100 meters. CATKE uses a downgradient formulation that depends on a prognostic turbulent kinetic energy (TKE)
Externí odkaz:
http://arxiv.org/abs/2306.13204
Plug-and-Play (PnP) methods are efficient iterative algorithms for solving ill-posed image inverse problems. PnP methods are obtained by using deep Gaussian denoisers instead of the proximal operator or the gradient-descent step within proximal algor
Externí odkaz:
http://arxiv.org/abs/2306.03466
Autor:
Émilie Lessard, Nadia O’Brien, Andreea-Catalina Panaite, Marie Leclaire, Geneviève Castonguay, Ghislaine Rouly, Antoine Boivin
Publikováno v:
BMC Primary Care, Vol 25, Iss 1, Pp 1-12 (2024)
Abstract Background Peer support has been extensively studied in specific areas of community-based primary care such as mental health, substance use, HIV, homelessness, and Indigenous health. These programs are often built on the assumption that peer
Externí odkaz:
https://doaj.org/article/eac44a5edb804cd9b8ac61314a9f1d9f
This paper presents a new convergent Plug-and-Play (PnP) algorithm. PnP methods are efficient iterative algorithms for solving image inverse problems formulated as the minimization of the sum of a data-fidelity term and a regularization term. PnP met
Externí odkaz:
http://arxiv.org/abs/2301.13731
Studies of ocean surface transport often invoke the "Eulerian-mean hypothesis": that wave-agnostic general circulation models neglecting explicit surface waves effects simulate the Eulerian-mean ocean velocity time-averaged over surface wave oscillat
Externí odkaz:
http://arxiv.org/abs/2210.08552
This paper is focused on the study of entropic regularization in optimal transport as a smoothing method for Wasserstein estimators, through the prism of the classical tradeoff between approximation and estimation errors in statistics. Wasserstein es
Externí odkaz:
http://arxiv.org/abs/2210.06934