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OPAL
OPAL (Observatoire Pluridisciplinaire des Alpes-maritimes) est un équipement de calcul haute-performance (HPC) dédié à la recherche, l’intelligence artificielle (IA), le calcul, le stockage de données et la visualisation. OPAL est une convention entre Université Côte d'Azur, Observatoire de la Côte d'Azur, Inria Sophia Antipolis et Mines ParisTech à Sophia Antipolis. Son principe repose sur la mutualisation des ressources de calcul de ces quatre institutions grâce à un accès unifié. OPAL offre des possibilités de calcul aux membres d’Université Côte d'Azur et à leurs partenaires industriels pour la recherche, l’éducation et le développement.
Derniers dépôts
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Angelo Rodio, Giovanni Neglia, Fabio Busacca, Stefano Mangione, Sergio Palazzo, et al.. Federated Learning with Packet Losses. WPMC 2023 - 26th International Symposium on Wireless Personal Multimedia Communications, Nov 2023, Tampa, United States. pp.1-6, ⟨10.1109/WPMC59531.2023.10338845⟩. ⟨hal-04364289⟩
Documents en texte intégral
250
Notices
20
Statistiques par discipline
Mots clés
Radiative transfer
Planet-disk interactions
GM-PHD
Image-Based Rendering
Lithospheric
Saliency
Density
Astrophysics - Solar and Stellar Astrophysics
Finite element method
Marked point process
Methods numerical
Appearance capture
Minor planets
Multigrid method
Tractography
Galaxy abundances
Lithosphérique
Image processing
Sketching
Neural Rendering
Semantic segmentation
Tomographie
MEG
Seismic imaging
Event camera
Méthodes directes
Action Detection
$p$-robustness
GANs
Stars atmospheres
Object detection
Gravitation
Material capture
OPAL-Meso
Gaussian Process
Line drawing
Inversion de formes d'ondes
Methods observational
Point process
Galaxy evolution
Reconstruction
Controlled source seismology
Remote sensing
Sketch-based modeling
Gaunt Coefficients
Spherical Harmonics
Atherosclerosis
Segmentation
Stars abundances
A posteriori estimate
Generative adversarial networks
Planets and satellites detection
Protoplanetary disks
Planets and satellites dynamical evolution and stability
Deep Learning
Machine learning
EEG
SVBRDF
3D reconstruction
Astrophysics - Earth and Planetary Astrophysics
Compound regularization
Small object detection
Galaxy disk
Multi-View
Convolutional neural networks
Methods statistical
Neuromorphic
PET Imaging
Non-photorealistic rendering
Densité
Dense labeling
Domain adaptation
Remote Sensing
Multiple Sclerosis
Alpes
Stars fundamental parameters
Federated Learning
Convolutional neural network
Alzheimer's disease
Hydrodynamics
Full-waveform inversion
Inverse theory
Imagerie sismique
Deep learning
Catastrophic forgetting
Neural networks
Planets and satellites formation
Schwarz method
Alps
Diffusion MRI
Mean-field limit
Plasmas
Attention
Instabilities
Computer Graphics
CNN
Stable decomposition
Structural Connectivity
Turbulence
Stars activity