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Image, Data, Signal departement - IDS
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Latest publications
Mostafa Cherif, Tobías I. Liaudat, Jonathan Kern, Christophe Kervazo, Jérôme Bobin. Uncertainty quantification for fast reconstruction methods using augmented equivariant bootstrap: Application to radio interferometry.
NEURIPS 2024 ML4PS : Machine Learning and the Physical Sciences Workshop
, Dec 2024, Vancouver, Canada.
⟨hal-04767562⟩
Scott Pesme, Radu-Alexandru Dragomir, Nicolas Flammarion. Implicit Bias of Mirror Flow on Separable Data.
NeurIPS 2024 : The 38th Annual Conference on Neural Information Processing Systems
, Dec 2024, Vancouver, Canada.
⟨hal-04807077⟩
David Perera, Victor Letzelter, Théo Mariotte, Adrien Cortés, Mickael Chen, et al.. Annealed Multiple Choice Learning: Overcoming limitations of Winner-takes-all with annealing.
NeurIPS 2024 : 38th Conference on Neural Information Processing Systems
, Dec 2024, Vancouver, Canada.
⟨hal-04762097⟩
Diana Marin, Amal Dev Parakkat, Stefan Ohrhallinger, Michael Wimmer, Steve Oudot, et al.. SING: Stability-Incorporated Neighborhood Graph.
SA 2024 - The 17th ACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia
, Dec 2024, Tokyo, Japan. pp.1-10,
⟨10.1145/3680528.3687674⟩
.
⟨hal-04820002⟩
Yoto Fujita, Aditya Arie Nugraha, Diego Di Carlo, Yoshiaki Bando, Mathieu Fontaine, et al.. Run-Time Adaptation of Neural Beamforming for Robust Speech Dereverberation and Denoising.
2024 APSIPA : Asia-Pacific Signal and Information Processing Association
, Dec 2024, Macau China, China.
⟨hal-04736454⟩
Emilia Siviero. Statistical Learning for Spatial data : theory and practice. Data Structures and Algorithms [cs.DS]. Institut Polytechnique de Paris, 2024. English.
⟨NNT : 2024IPPAT032⟩
.
⟨tel-04880434⟩
Olivier Fercoq. Defining Lyapunov functions as the solution of a performance estimation saddle point problem. 2024.
⟨hal-04784980⟩
Nathan Huet. Statistical learning for multivariate and functional extremes. Mathematics [math]. Institut Polytechnique de Paris, 2024. English.
⟨NNT : 2024IPPAT031⟩
.
⟨tel-04809879⟩
Morgan Buisson, Brian Mcfee, Slim Essid. Using Pairwise Link Prediction and Graph Attention Networks for Music Structure Analysis.
25th International Society for Music Information Retrieval (ISMIR) (2024)
, Nov 2024, San Francisco (CA), United States.
⟨hal-04665063v2⟩
Antonin Gagnere, Geoffroy Peeters, Slim Essid. A Contrastive Self-Supervised Learning scheme for beat tracking amenable to few-shot learning.
ISMIR 2024 : 25th International Society for Music Information Retrieval (ISMIR) Conference Onsite and Virtual
, Nov 2024, San Francisco, Californ, United States.
⟨hal-04768296⟩
Keywords
Texture synthesis
Despeckling
Source separation
Convolution
Computer graphics
Self-supervised learning
Change detection
Anomaly detection
Video coding
Remote sensing
Nonnegative matrix factorization
Variational methods
Débruitage
Optimal transport
Stochastic approximation
Patches
Informed source separation
Polarimetry
Medical imaging
Réseaux de neurones
EEG
Room impulse response
Affective computing
Deep Learning
Blind source separation
Filtering
Transfer learning
Regularization
Diffusion
Brain imaging
Room acoustics
Segmentation
Task analysis
Empirical risk minimization
Character recognition
Feature selection
Data augmentation
Explainability
Convolutional neural networks
Image segmentation
Apprentissage profond
ESPRIT
Speech enhancement
Machine Learning
Statistical learning
Image restoration
Image processing
Estimation
Super-resolution
Neural networks
Computer Graphics
Deep learning
Audio source separation
Representation learning
Reverberation
Training
AVC
Detection
Inverse problem
Mathematical morphology
Ranking
Time-frequency analysis
MRI
Bootstrap
Computational modeling
Adaptation models
HEVC
Feature learning
Clustering
Apprentissage statistique
Denoising
Video compression
Feature extraction
Multivariate extremes
Retina imaging
Natural language processing
Computer vision
Machine learning
Music information retrieval
Optimization
Imagerie médicale
Artificial intelligence
Non-negative matrix factorization
Hidden Markov models
Wavelet analysis
SAR
Classification
Convex optimization
Compression
Speckle
Interpretability
Apprentissage automatique
Détection d'anomalies
Signal processing
Visualization
Bipartite ranking
Nonnegative matrix factorisation
Variational inference
Transformers
Inverse problems
Number of fulltext
1 557
Number of references
1 771
Open access
Collaborations per country