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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

Convex optimization Dimensionality reduction Anesthesia Concentration of measure Convolutional Neural Network Allocation des postes à quai Spectral clustering Classification Remote sensing Sequence-to-sequence models Expectation-maximization Laycan allocation Deep Learning Hyperspectral Multi-agent systems Audio-visual speech enhancement Berth allocation Joint learning Closed loop systems CPAP Alternating direction method of multipliers Eigenvalues and eigenfunctions Image processing Dynamic binary translation Optimal control Biometrics Remote sensing RS Output feedback Intelligence artificielle Deep neural network Random spanning forests Unsupervised learning Dictionaries Emotional facial expressions Adaptation models Electronic nose Alignment repair Air pollution Europe Deep learning Agent communication Mathematical model Manifold learning Autoencoder Language documentation Inverse regression Autism spectrum disorder Allocation des planches Machine Learning Computer ethics Acoustic unit discovery Attention Data fusion Semi-supervised learning Neural Networks AI Governance Drift Extended Kalman Filter End-to-end system Delays Cross modality Big data Artificial Intelligence Representation learning Artificial neural networks Ethics Artificial intelligence Smoothing Boundary control Endmember variability Algorithms COVID-19 Hyperspectral imaging Artificial Intelligence AI Correlation Asymptotic normality Computational Language Documentation Community detection Automatic speech recognition Deep learning DL Dynamic Epistemic Logic Feature learning Neural networks Dictionary learning Fusion Multispectral Attention mechanism Fairness Dysgraphia Generative models Adherence Variational inference Graph signal processing Random matrix theory Ontology alignment Computational language documentation 62L20 Machine learning MRI Discrete event simulation