index - Multidisciplinary Institute in Artificial intelligence - Grenoble Alpes

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

AI Optimal control Representation learning Kernel methods Unsupervised learning Endmember variability Air pollution Deep learning Automatic speech recognition Audio-visual speech enhancement Evaluation Obstructive sleep apnea Speech production Hyperspectral Telemonitoring Nash equilibrium Semantic segmentation Deep learning DL Agriculture Machine Learning Online learning Big data Object detection Autism Dimensionality reduction Data visualization Stabilization Digital public health Adaptation models Alternating direction method of multipliers ADMM Alternating direction method of multipliers Co-design Multispectral Generative models Innovation Fairness Convolution Training Stochastic differential equations Image fusion Ethics Data fusion Spectral clustering Predictive coding Data mining Dictionaries Agricultural exposome Speech motor control Pansharpening Self-supervised learning Convolutional neural networks Artificial Intelligence Hyperspectral imaging Intelligence artificielle Task analysis Spatial frequencies Neural networks Asymptotic stability Sex differences Prediction Algorithmes Adherence Hyperspectral image Variational inference OSA Éthique Stochastic approximation Anomaly detection Super-resolution Random matrix theory Affect stories Data models Privacy Detectors Digital health e-health Manifold learning Output feedback Remote sensing RS Chronic obstructive pulmonary disease Artificial intelligence Machine learning AI Governance COVID-19 Feature extraction Infinite-dimensional systems Continuous positive airway pressure Remote sensing Classification Europe Speech synthesis Convex optimization Optimization Deep Learning Tensors Spatial resolution Computer vision Sleep apnea Sparsity Scheduling Image reconstruction