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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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Stochastic approximation COVID-19 Sequence-to-sequence models Random matrix theory AI Governance Allocation des planches Unsupervised learning Inverse regression Hyperspectral image Alternating direction method of multipliers Data fusion Anesthesia Ethics Hyperspectral Artificial Intelligence Manifold learning Dynamic binary translation Spectral clustering Dictionary learning Generative models Closed loop systems Variational inference Hyperspectral imaging Variational auto-encoder Convex optimization Dimensionality reduction Endmember variability Biometrics Deep Learning Remote sensing Extended Kalman Filter Automatic speech recognition MRI Correlation Autoencoder Artificial neural networks Dynamic Epistemic Logic France Laycan allocation Europe Concentration of measure Semantic segmentation Hyperspectral images Expectation-maximization Computational language documentation Hyperspectral HS Hyperspectral image unmixing Air pollution Representation learning Smoothing Eigenvalues and eigenfunctions Allocation des postes à quai Acoustic unit discovery Classification Deep learning DL Adaptation models Gestion portuaire Graph signal processing Alignment repair Emotional facial expressions Dictionaries Ontology alignment Berth allocation Hyperspectral image HSI denoising Autism spectrum disorder 62L20 Multispectral Attention Fairness Attention mechanism Fusion Spectral unmixing Asymptotic normality High-dimension Remote sensing RS End-to-end system Formal Concept Analysis Discrete event simulation Artificial intelligence Computational Language Documentation Joint learning Deep neural network Community detection Multi-agent systems Delays Convolutional Neural Network Task analysis Random spanning forests Mathematical model Machine learning Cross modality Audio-visual speech enhancement Speech enhancement Deep learning Language documentation Feature learning Machine Learning Agent communication Big data Neural networks