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

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