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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
1 011
Number of references
646
Keywords
Correlation
Optimal controller
Predictive coding
Co-design
Variational inference
Multispectral
Hyperspectral imaging
Representation learning
Alternating direction method of multipliers ADMM
Super-resolution
Brain
OSA
Optimization
Remote sensing RS
Online learning
Scheduling
Stabilization
Training
Computer vision
Éthique
Spectral clustering
Convex optimization
Simulation
Stochastic differential equations
Automatic speech recognition
Self-supervised learning
Telemonitoring
Chronic obstructive pulmonary disease
Infinite-dimensional systems
Evaluation
Fairness
Asymptotic stability
Spatial resolution
Data analysis
Speech motor control
Stochastic approximation
Artificial Intelligence
Neural networks
Generative models
Philosophie des techniques
Ethique de l'intelligence artificielle
Tensors
Kernel methods
Adherence
Machine Learning
Machine learning
Deep learning DL
Intelligence artificielle
Random matrix theory
Output feedback
Hyperspectral
Speech synthesis
Detectors
Data models
Feature extraction
Nash equilibrium
EHealth
Pansharpening
Spatial frequencies
Remote sensing
Sex differences
Continuous positive airway pressure
Task analysis
Algorithmes
Digital health e-health
Data fusion
Audio-visual speech enhancement
Endmember variability
Image reconstruction
Manifold learning
Convolutional neural networks
Image segmentation
Big data
EEG
Ethics
Semantic segmentation
Object detection
Privacy
Image fusion
Prediction
Classification
Unsupervised learning
COVID-19
Deep Learning
Santé numérique
Convolution
Optimal control
Sleep apnea
Speech production
Innovation
Backstepping
Digital public health
Data mining
Dictionaries
Image processing
Autism
Hyperspectral image
Dimensionality reduction
Deep learning
Artificial intelligence