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Welcome on HAL open archive of PaRis AI Research InstitutE
3AI Plan
The Prairie Institute (PaRis AI Research InstitutE) is one of the four French Institutes of Artificial Intelligence, which were created as part of the national French initiative on AI announced by President Emmanuel Macron on May 29, 2018.
A major part of this ambitious plan, which has a total budget of one billion euros, was the creation of a small number of interdisciplinary AI research institutes (or “3IAs” for “Instituts Interdisciplinaires d’Intelligence Artificielle”). After an open call for participation in July 2018 and two rounds of review by an international scientific committee, the Grenoble, Nice, Paris and Toulouse projects have officially received the 3IA label on April 24, 2019, with a total budget of 75 million Euros.
For more information about PaRis AI Research InstitutE, see our web site.
The Prairie Institute (PaRis AI Research InstitutE) is one of the four French Institutes of Artificial Intelligence, which were created as part of the national French initiative on AI announced by President Emmanuel Macron on May 29, 2018.
A major part of this ambitious plan, which has a total budget of one billion euros, was the creation of a small number of interdisciplinary AI research institutes (or “3IAs” for “Instituts Interdisciplinaires d’Intelligence Artificielle”). After an open call for participation in July 2018 and two rounds of review by an international scientific committee, the Grenoble, Nice, Paris and Toulouse projects have officially received the 3IA label on April 24, 2019, with a total budget of 75 million Euros.
For more information about PaRis AI Research InstitutE, see our web site.
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Marvin Lavechin, Marianne Métais, Hadrien Titeux, Alodie Boissonnet, Jade Copet, et al.. Brouhaha: multi-task training for voice activity detection, speech-to-noise ratio, and C50 room acoustics estimation. IEEE Automatic Speech Recognition and Understanding (ASRU 2023 ), IEEE, Dec 2023, Taipei, Taiwan. pp.1--7. ⟨hal-04247647⟩
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Keywords
Zero-Shot Learning
Online learning
CamemBERT
Deep learning
Optimization
Data visualization
Artificial Intelligence
Stochastic optimization
Ensemble learning
Attention Mechanism
Direct access
Genomics
Object detection
Image processing
Evaluation
Active learning
Adaptation
Huntington's disease
Classification
Apprentissage faiblement supervisé
Computer vision
French
Machine learning
Prediction
Reinforcement learning
Bayesian logistic regression
Image synthesis
Cancer
Alzheimer’s disease
Breast cancer
Unsupervised anomaly detection
Computational modeling
Clinical Data Warehouse
Neuroimaging
Riemannian geometry
BCI
Curvature penalization
RNA localization
Alzheimer's Disease
Action recognition
Machine Learning
Choroid plexus
Natural language processing
ADNI
Mixture models
Multiple Sclerosis
Bias
Multiple sclerosis
Neural networks
Artificial intelligence
Association
BERT
Brain MRI
Simulation
Self-supervised learning
Data imputation
Graph alignment
Longitudinal data
Hippocampus
Weakly-supervised learning
Kernel methods
Cross-validation
Clustering
Literature
Machine translation
Kalman filter
Interpretability
Wavelets
ASPM
Longitudinal study
Representation learning
Clinical data warehouse
Medical imaging
Sparsity
Computer Vision
Deep Learning
Magnetic resonance imaging
Alzheimer's disease
Variational inference
Dimensionality reduction
MRI
Microscopy
Whole slide images
Alzheimer
Language acquisition
Poetry generation
Transcriptomics
Apprentissage par renforcement
Anatomical MRI
Reproducibility
HIV
Dementia
Deep generative models
Functional connectivity
Human-in-the-loop
Variational autoencoder
Segmentation
Electronic health records
Language Model
Brain
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