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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

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