On the Control of Systems with Unknown Parameters. - Thomas Oberlin (IEEE Trans. Syst. Man Cybern., 1973)

Bayes Decision Rules Based on Objective Priors. - Thomas Oberlin; Rangasami L. Kashyap (IEEE Trans. Syst. Man Cybern., 1973)

On the mode synthesis in the synchrosqueezing method. - Thomas Oberlin; Sylvain Meignen; Valérie Perrier (EUSIPCO, 2012)

Multicomponent signal denoising with synchrosqueezing. - Sylvain Meignen; Thomas Oberlin; Stephen McLaughlin 001 (SSP, 2012)

The Monogenic Synchrosqueezed Wavelet Transform: A tool for the Decomposition/Demodulation of AM-FM images - Marianne Clausel; Thomas Oberlin; Valérie Perrier (CoRR, 2012)

A New Algorithm for Multicomponent Signals Analysis Based on SynchroSqueezing: With an Application to Signal Sampling and Denoising. - Sylvain Meignen; Thomas Oberlin; Steve McLaughlin 001 (IEEE Trans. Signal Process., 2012)

An Alternative Formulation for the Empirical Mode Decomposition. - Thomas Oberlin; Sylvain Meignen; Valérie Perrier (IEEE Trans. Signal Process., 2012)

A novel time-frequency technique for multicomponent signal denoising. - Thomas Oberlin; Sylvain Meignen; Stephen McLaughlin 001 (EUSIPCO, 2013)

Analysis of strongly modulated multicomponent signals with the short-time Fourier transform. - Thomas Oberlin; Sylvain Meignen; Stephen McLaughlin 001 (ICASSP, 2013)

Time-Frequency Reassignment and Synchrosqueezing: An Overview. - François Auger; Patrick Flandrin; Yu-Ting Lin 001; Stephen McLaughlin 001; Sylvain Meignen; Thomas Oberlin; Hau-Tieng Wu (IEEE Signal Process. Mag., 2013)

Analyse de Signaux Multicomposantes : Contributions à la Décomposition Modale Empirique, aux Représentations temps-fréquence et au Synchrosqueezing. - Thomas Oberlin (2013)

The fourier-based synchrosqueezing transform. - Thomas Oberlin; Sylvain Meignen; Valérie Perrier (ICASSP, 2014)

EEG source localization based on a structured sparsity prior and a partially collapsed Gibbs sampler. - Facundo Costa; Hadj Batatia; Thomas Oberlin; Jean-Yves Tourneret (CAMSAP, 2015)

Time-frequency ridge analysis based on the reassignment vector. - Sylvain Meignen; T. Gardner; Thomas Oberlin (EUSIPCO, 2015)

Symmetrical EEG-FMRI imaging by sparse regularization. - Thomas Oberlin; Christian Barillot; Rémi Gribonval; Pierre Maurel (EUSIPCO, 2015)

Second-Order Synchrosqueezing Transform or Invertible Reassignment? Towards Ideal Time-Frequency Representations. - Thomas Oberlin; Sylvain Meignen; Valérie Perrier (IEEE Trans. Signal Process., 2015)

A partially collapsed Gibbs sampler with accelerated convergence for EEG source localization. - Facundo Costa; Hadj Batatia; Thomas Oberlin; Jean-Yves Tourneret (SSP, 2016)

Unmixing dynamic PET images with a PALM algorithm. - Yanna Cruz Cavalcanti; Thomas Oberlin; Nicolas Dobigeon; Clovis Tauber (EUSIPCO, 2017)

The ASTRES toolbox for mode extraction of non-stationary multicomponent signals. - Dominique Fourer; Jinane Harmouche; Jeremy Schmitt; Thomas Oberlin; Sylvain Meignen; François Auger; Patrick Flandrin (EUSIPCO, 2017)

Fully adaptive mode decomposition from time-frequency ridges. - Sylvain Meignen; Thomas Oberlin; Steve McLaughlin 001 (ICASSP, 2017)

The second-order wavelet synchrosqueezing transform. - Thomas Oberlin; Sylvain Meignen (ICASSP, 2017)

Multi-modal EEG and fMRI Source Estimation Using Sparse Constraints. - Saman Noorzadeh; Pierre Maurel; Thomas Oberlin; Rémi Gribonval; Christian Barillot (MICCAI (1), 2017)

Unmixing dynamic PET images for voxel-based kinetic component analysis. - Yanna Cruz Cavalcanti; Thomas Oberlin; Nicolas Dobigeon; Simon Stute; Maria Ribeiro; Clovis Tauber (CoRR, 2017)

Bayesian EEG source localization using a structured sparsity prior. - Facundo Costa; Hadj Batatia; Thomas Oberlin; Carlos D'Giano; Jean-Yves Tourneret (NeuroImage, 2017)

Matrix Co-Factorization for Cold-Start Recommendation. - Olivier Gouvert; Thomas Oberlin; Cédric Févotte (ISMIR, 2018)

Reconstruction Of Partially Sampled EELS Images. - Étienne Monier; Thomas Oberlin; Nathalie Brun; Marcel Tencé; Maria de Frutos; Nicolas Dobigeon (WHISPERS, 2018)

Negative Binomial Matrix Factorization for Recommender Systems. - Olivier Gouvert; Thomas Oberlin; Cédric Févotte (CoRR, 2018)

Reconstruction of partially sampled multi-band images - Application to STEM-EELS imaging. - Étienne Monier; Thomas Oberlin; Nathalie Brun; Marcel Tencé; Marta de Frutos; Nicolas Dobigeon (CoRR, 2018)

Coupled dictionary learning for unsupervised change detection between multi-sensor remote sensing images. - Vinicius Ferraris; Nicolas Dobigeon; Yanna Cruz Cavalcanti; Thomas Oberlin; Marie Chabert (CoRR, 2018)

Factor analysis of dynamic PET images: beyond Gaussian noise. - Yanna Cruz Cavalcanti; Thomas Oberlin; Nicolas Dobigeon; Simon Stute; Maria-Joao Ribeiro; Clovis Tauber (CoRR, 2018)

Unmixing dynamic PET images with variable specific binding kinetics. - Yanna Cruz Cavalcanti; Thomas Oberlin; Nicolas Dobigeon; Simon Stute; Maria Ribeiro; Clovis Tauber (Medical Image Anal., 2018)

Reconstruction of Partially Sampled Multiband Images - Application to STEM-EELS Imaging. - Étienne Monier; Thomas Oberlin; Nathalie Brun; Marcel Tencé; Marta de Frutos; Nicolas Dobigeon (IEEE Trans. Computational Imaging, 2018)

Loss functions for denoising compressed images: a comparative study. - Thomas Oberlin; François Malgouyres; Jin-Yi Wu (EUSIPCO, 2019)

Unmixing Dynamic Pet Images: Combining Spatial Heterogeneity and Non-gaussian Noise. - Yanna Cruz Cavalcanti; Thomas Oberlin; Nicolas Dobigeon; Cédric Févotte; Simon Stute; Clovis Tauber (ICASSP, 2019)

Recommendation from Raw Data with Adaptive Compound Poisson Factorization. - Olivier Gouvert; Thomas Oberlin; Cédric Févotte (UAI, 2019)

Coupled dictionary learning for unsupervised change detection between multimodal remote sensing images. - Vinicius Ferraris; Nicolas Dobigeon; Yanna Cruz Cavalcanti; Thomas Oberlin; Marie Chabert (Comput. Vis. Image Underst., 2019)

Factor Analysis of Dynamic PET Images: Beyond Gaussian Noise. - Yanna Cruz Cavalcanti; Thomas Oberlin; Nicolas Dobigeon; Cédric Févotte; Simon Stute; Maria-Joao Ribeiro; Clovis Tauber (IEEE Trans. Medical Imaging, 2019)

Unsupervised Change Detection for Multimodal Remote Sensing Images via Coupled Dictionary Learning and Sparse Coding. - Vinicius Ferraris; Nicolas Dobigeon; Yanna Cruz Cavalcanti; Thomas Oberlin; Marie Chabert (ICASSP, 2020)

Ordinal Non-negative Matrix Factorization for Recommendation. - Olivier Gouvert; Thomas Oberlin; Cédric Févotte (ICML, 2020)

Fusion of hyperspectral and multispectral infrared astronomical images. - Claire Guilloteau; Thomas Oberlin; Olivier Berné; Nicolas Dobigeon (SAM, 2020)

Fast reconstruction of atomic-scale STEM-EELS images from sparse sampling. - Étienne Monier; Thomas Oberlin; Nathalie Brun; Xiaoyan Li; Marcel Tencé; Nicolas Dobigeon (CoRR, 2020)

Phase retrieval with Bregman divergences: Application to audio signal recovery. - Pierre-Hugo Vial; Paul Magron; Thomas Oberlin; Cédric Févotte (CoRR, 2020)

Negative Binomial Matrix Factorization. - Olivier Gouvert; Thomas Oberlin; Cédric Févotte (IEEE Signal Process. Lett., 2020)

Hyperspectral and Multispectral Image Fusion Under Spectrally Varying Spatial Blurs - Application to High Dimensional Infrared Astronomical Imaging. - Claire Guilloteau; Thomas Oberlin; Olivier Berné; Nicolas Dobigeon (IEEE Trans. Computational Imaging, 2020)

Contributions au traitement des images multivariées). - Thomas Oberlin (2021)

Source Separation Based on Non-Negative Matrix Factorization of the Synchrosqueezing Transform. - Neha Singh 003; Sylvain Meignen; Thomas Oberlin (EUSIPCO, 2021)

Phase Recovery with Bregman Divergences for Audio Source Separation. - Paul Magron; Pierre-Hugo Vial; Thomas Oberlin; Cédric Févotte (ICASSP, 2021)

Regularization via Deep Generative Models: an Analysis Point of View. - Thomas Oberlin; Mathieu Verm (ICIP, 2021)

Phase Retrieval With Bregman Divergences and Application to Audio Signal Recovery. - Pierre-Hugo Vial; Paul Magron; Thomas Oberlin; Cédric Févotte (IEEE J. Sel. Top. Signal Process., 2021)

Reduced-Complexity End-to-End Variational Autoencoder for on Board Satellite Image Compression. - Vinicius Alves de Oliveira; Marie Chabert; Thomas Oberlin; Charly Poulliat; Mickael Bruno; Christophe Latry; Mikael Carlavan; Simon Henrot; Frédéric Falzon; Roberto Camarero (Remote. Sens., 2021)

Informed Spatial Regularizations For Fast Fusion Of Astronomical Images. - Claire Guilloteau; Thomas Oberlin; Olivier Berné; Nicolas Dobigeon (ICIP, 2022)

DAROD: A Deep Automotive Radar Object Detector on Range-Doppler maps. - Colin Decourt; Rufin VanRullen; Didier Salle; Thomas Oberlin (IV, 2022)

Automatic Detection and Correction of Random Telegraph Signal Artifacts in Earth Observation Images. - Sylvain Lucas; Thomas Oberlin; Vincent Goiffon; Fanny Le Mer (IEEE Geosci. Remote. Sens. Lett., 2022)

Satellite Image Compression and Denoising With Neural Networks. - Vinicius Alves de Oliveira; Marie Chabert; Thomas Oberlin; Charly Poulliat; Mickael Bruno; Christophe Latry; Mikael Carlavan; Simon Henrot; Frédéric Falzon; Roberto Camarero (IEEE Geosci. Remote. Sens. Lett., 2022)

One or Two Ridges? An Exact Mode Separation Condition for the Gabor Transform. - Sylvain Meignen; Nils Laurent; Thomas Oberlin (IEEE Signal Process. Lett., 2022)

Learning the Proximity Operator in Unfolded ADMM for Phase Retrieval. - Pierre-Hugo Vial; Paul Magron; Thomas Oberlin; Cédric Févotte (IEEE Signal Process. Lett., 2022)

Variational Bayes image restoration with compressive autoencoders. - Maud Biquard; Marie Chabert; Thomas Oberlin (CoRR, 2023)

Reduced-Complexity Multirate Remote Sensing Data Compression With Neural Networks. - Sebastià Mijares i Verdú; Marie Chabert; Thomas Oberlin; Joan Serra-Sagristà (IEEE Geosci. Remote. Sens. Lett., 2023)

Compartment model-based nonlinear unmixing for kinetic analysis of dynamic PET images. - Yanna Cruz Cavalcanti; Thomas Oberlin; Vinicius Ferraris; Nicolas Dobigeon; Maria Ribeiro; Clovis Tauber (Medical Image Anal., 2023)

Algorithms for audio inpainting based on probabilistic nonnegative matrix factorization. - Ondrej Mokrý; Paul Magron; Thomas Oberlin; Cédric Févotte (Signal Process., 2023)

Patch Normalizing Flow Regularization for Hyperspectral Pansharpening. - Afonso Serrão Caroço De Carvalho; Thomas Oberlin (WHISPERS, 2024)

On-the-Fly Spectral Unmixing for Real-Time Hyperspectral Data Analysis. - Hugues Kouakou; José Henrique de Morais Goulart; Raffaele Vitale; Thomas Oberlin; David Rousseau; Cyril Ruckebusch; Nicolas Dobigeon (WHISPERS, 2024)

Leveraging Self-Supervised Instance Contrastive Learning for Radar Object Detection. - Colin Decourt; Rufin VanRullen; Didier Salle; Thomas Oberlin (CoRR, 2024)

Deep priors for satellite image restoration with accurate uncertainties. - Maud Biquard; Marie Chabert; Florence Genin; Christophe Latry; Thomas Oberlin (CoRR, 2024)

Fixed-Quality Compression of Remote Sensing Images With Neural Networks. - Sebastià Mijares i Verdú; Marie Chabert; Thomas Oberlin; Joan Serra-Sagristà (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

A Recurrent CNN for Online Object Detection on Raw Radar Frames. - Colin Decourt; Rufin VanRullen; Didier Salle; Thomas Oberlin (IEEE Trans. Intell. Transp. Syst., 2024)

Variational Bayes Image Restoration With Compressive Autoencoders. - Maud Biquard; Marie Chabert; Florence Genin; Christophe Latry; Thomas Oberlin (IEEE Trans. Image Process., 2025)

PG-DPIR: An efficient plug-and-play method for high-count Poisson-Gaussian inverse problems. - Maud Biquard; Marie Chabert; Florence Genin; Christophe Latry; Thomas Oberlin (CoRR, 2025)

Style Transfer with Diffusion Models for Synthetic-to-Real Domain Adaptation. - Estelle Chigot; Dennis G. Wilson; Meriem Ghrib; Thomas Oberlin (CoRR, 2025)