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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)."

 

 

Keywords

Scheduling algorithms Bayesian inference Speech enhancement Alignment repair Pandemic model PHC Nonnegative matrix factorization Human tongue Naive Bayes Variance reduction EKF Generative models Ontology alignment SCAN Machine learning Data movements Few-shot Learning Redirection Obstructive sleep apnea screening Stochastic optimization Recurrent variational autoencoders Index Terms-Scheduling Switching state space model Optimization Algorithmes d’ordonnancement Raw data Algorithm portfolio Simulation Index Terms-Magnetic field gradient Expectation-maximization Dynamic Epistemic Logic Index Terms-Recommendation Variational inference Early detection Model Order Reduction Bi- Objective Optimization Index Terms-Structural graph clustering EASY Feature Selection Kalman filter Parallel distributed SAT Spatial derivatives Image Recognition Quaternion Linear dynamical system Real-time simulation Agent communication Subspace KNN Mixture models Online Scheduling Edge Digital Twins Wearable sensors Sparse coding Resource provisioning and scheduling Variational expectation-maximization Parallel jobs Dermatology Activity recognition Maximum coverage problem COVID-19 Customer Margin Decision trees Convex optimization Variational approximation SAF Mixture mode Awareness Backfilling Dynamic graphs Multicore CPUs Mouvements de données Image processing Skin cancer Variational auto-encoder Index Terms-deep learning Dermoscopy Parallel algorithm Structured sparsity Melanoma High Performance Computing Network model Inverse regression Partial valuations Anytime clustering Multi-agent systems Ve- locity and attitude estimation Mobile Attitude estimation Robust audio-visual speech enhancement

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