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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)."
Derniers dépôts
Hady Elsahar, Maximin Coavoux, Matthias Gallé, Jos Rozen. Self-Supervised and Controlled Multi-Document Opinion Summarization. Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, Apr 2021, Online, Unknown Region. pp.1646--1662. ⟨hal-03241932⟩
Collaborations
Number of fulltexts
1 014
Number of references
646
Keywords
Machine learning
Backstepping
COVID-19
Digital public health
Remote sensing
Philosophie des techniques
Convolution
Convolutional neural networks
Co-design
Self-supervised learning
Ethique de l'intelligence artificielle
Image reconstruction
Random matrix theory
Intelligence artificielle
Generative models
Simulation
Image segmentation
Autism
Spatial resolution
Representation learning
Evaluation
Hyperspectral image
Machine Learning
Asymptotic stability
Éthique
OSA
Speech motor control
Image processing
Deep learning
Classification
Optimal controller
Dictionaries
Data analysis
Super-resolution
Chronic obstructive pulmonary disease
Output feedback
Data models
Optimization
Optimal control
Hyperspectral imaging
Adherence
EHealth
Convex optimization
EEG
Speech synthesis
Privacy
Santé numérique
Audio-visual speech enhancement
Fairness
Innovation
Artificial intelligence
Big data
Automatic speech recognition
Artificial Intelligence
Detectors
Alternating direction method of multipliers ADMM
Unsupervised learning
Online learning
Pansharpening
Spectral clustering
Ethics
Speech production
Task analysis
Stochastic differential equations
Variational inference
Neural networks
Endmember variability
Sex differences
Image fusion
Data mining
Sleep apnea
Kernel methods
Object detection
Deep Learning
Training
Tensors
Prediction
Computer vision
Remote sensing RS
Algorithmes
Telemonitoring
Digital health e-health
Deep learning DL
Stochastic approximation
Data fusion
Predictive coding
Multispectral
Continuous positive airway pressure
Dimensionality reduction
Spatial frequencies
Semantic segmentation
Hyperspectral
Nash equilibrium
Brain
Manifold learning
Correlation
Feature extraction
Stabilization
Infinite-dimensional systems
Scheduling