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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 article was developed in the framework of the MIAI@Grenoble Alpes, supported by the French National Research Agency under the " Investissements d’avenir” program (ANR-19-PIA-0003)."

 

 

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Keywords

Neurosurgery Language documentation ISM molecules Spatial derivatives Stochastic differential equations Low-resource languages Peer Effects Zero resource speech technology Rat Sequence-to-sequence models Mathematical model Representation learning Attention Acoustic unit discovery ASIC Audio-visual speech enhancement Machine learning Intraoperative ultrasound Gestion portuaire Ethics Convex optimization ISM clouds Concentration of measure LiDAR Artificial intelligence Spectral clustering Dishonesty Speech enhancement Model Order Reduction 90C15 Neural networks Europe Medical informatics Allocation des postes à quai Variational inference 62L20 Noise measurement Generative models 2010 MSC Secondary 62M45 Remote sensing Unsupervised learning Adaptation models Nonnegative matrix factorization Synchronverter Random matrix theory Big data Homophily 60Fullerene Graph signal processing Hyperspectral 2020 Mathematics Subject Classification Primary 90C26 Hyperspectral imaging Spatiotemporal disjunctive constraints Attention mechanism Lower complexity bounds Speech synthesis Dynamic Epistemic Logic Laycan allocation Endmember variability Spectral unmixing ADN ancien Signal extraction Joint learning 37N40 Convolutional Neural Network Allocation des planches Computational language documentation Berth allocation Asymptotic normality Speech production Machine Learning Self-Selection Bias Image processing Kernel methods Deep learning 3D Ultrasound image Variational auto-encoder 68T05 Regret Spectral variability Deep Learning 68Q32 Smoothing Anesthesia Hyperspectral image unmixing 37N40 Non-convex optimization 94T Alternating direction method of multipliers Inverse regression State Observer MRI 3D ultrasound Perception Reaction-diffusion equation Optimization Methods statistical Random spanning forests Synchronous Machine Tensor methods Power Generation Calcium