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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Number of fulltexts

1 011

Number of references

646

Keywords

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