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

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