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MIAI Grenoble Alpes (Multidisciplinary Institute in Artificial Intelligence) aims to conduct research in artificial intelligence at the highest level, to offer attractive courses for students and professionals of all levels, to support innovation in large companies, SMEs and startups and to inform and interact with citizens on all aspects of AI.
The activities of MIAI Grenoble Alpes are structured around two main themes : future AI systems and AI for human beings the environment.
Instructions to authors: If your research work has been supported by the MIAI Grenoble Alpes, please mention in your article: "This work has been partially supported by MIAI@Grenoble Alpes, (ANR-19-P3IA-0003)."
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Keywords
Asymptotic stability
Agricultural exposome
Privacy
Europe
Adherence
Asymptotic normality
Convex optimization
Speech synthesis
Random matrix theory
Attention mechanism
Dictionaries
Stochastic approximation
Sleep apnea
Kernel methods
Super-resolution
Optimization
Image reconstruction
Intelligence artificielle
Deep learning
Machine learning
Co-design
Semantic segmentation
Deep Learning
Detectors
Convolutional neural networks
Neural networks
Nash equilibrium
Digital public health
Artificial Intelligence AI
Backstepping
Agriculture
Continuous positive airway pressure
Adaptation models
Computer vision
Alternating direction method of multipliers ADMM
Chronic obstructive pulmonary disease
Audio-visual speech enhancement
Anomaly detection
AI
Remote sensing RS
Spectral clustering
Prediction
Unsupervised learning
Task analysis
Deep learning DL
Fairness
Convolution
Online learning
Output feedback
Speech production
Stabilization
Tensors
Ethics
Autism
Artificial Intelligence
Evaluation
Remote sensing
Sparsity
Manifold learning
Image fusion
Multispectral
Artificial intelligence
Classification
AI Governance
Digital health e-health
Éthique
Data visualization
Speech motor control
Training
Big data
Spatial resolution
Data models
Scheduling
Spatial frequencies
Affect stories
Variational inference
Automatic speech recognition
Air pollution
Predictive coding
Data mining
Obstructive sleep apnea
Hyperspectral
Optimal control
Hyperspectral image
Infinite-dimensional systems
Machine Learning
Data fusion
Algorithmes
Generative models
Pansharpening
Alternating direction method of multipliers
Dimensionality reduction
OSA
Feature extraction
Hyperspectral imaging
Endmember variability
Representation learning
Stochastic differential equations
Object detection
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