| 2025 | ACSSC | A hypergraph-based Lasso regularization for distributed learning. | Gustavo Faia Fagundes, Cdric Richard, Roula Nassif |
| 2025 | ICML | Riemannian Diffusion Adaptation for Distributed Optimization on Manifolds. | Xiuheng Wang, Ricardo Augusto Borsoi, Cdric Richard, Ali H. Sayed |
| 2024 | ACSSC | Leveraging Distributed Acoustic Sensing for Vehicle Counting in High-Traffic-Density Environments. | Yacine Khacef, Cdric Richard, Charles Casimiro Cavalcante, Andr Ferrari |
| 2024 | ICASSP | Riemannian Diffusion Adaptation over Graphs with Application to Online Distributed PCA. | Xiuheng Wang, Ricardo Augusto Borsoi, Cdric Richard |
| 2024 | ICML | Non-parametric Online Change Point Detection on Riemannian Manifolds. | Xiuheng Wang, Ricardo Augusto Borsoi, Cdric Richard |
| 2023 | ACSSC | DIstributed Change Point Detection in Streaming Manifold-Valued Signals Over Graphs. | Xiuheng Wang, Ricardo Augusto Borsoi, Cdric Richard, Andr Ferrari |
| 2023 | ICASSP | Change Point Detection with Neural Online Density-Ratio Estimator. | Xiuheng Wang, Ricardo Augusto Borsoi, Cdric Richard, Jie Chen |
| 2022 | ACSSC | Self-Supervised Velocity Field Learning for High-Resolution Traffic Monitoring with Distributed Acoustic Sensing. | Yacine Khacef, Martijn van den Ende, Andr Ferrari, Cdric Richard, Anthony Sladen |
| 2022 | ACSSC | Deep Image Fusion Accounting for Inter-Image Variability. | Xiuheng Wang, Ricardo Augusto Borsoi, Cdric Richard, Jie Chen |
| 2022 | ICASSP | Transient Analysis of Clustered Multitask Diffusion RLS Algorithm. | Wei Gao, Jie Chen, Cdric Richard, Wentao Shi, Qunfei Zhang |
| 2022 | ICASSP | Hyperspectral Image Super-Resolution with Deep Priors and Degradation Model Inversion. | Xiuheng Wang, Jie Chen, Cdric Richard |
| 2021 | ACSSC | Coupled Tensor Models Accounting for Inter-image Variability. | Ricardo Augusto Borsoi, Clmence Prvost, Konstantin Usevich, David Brie, Jos C. M. Bermudez, Cdric Richard |
| 2021 | ACSSC | Next-Generation Traffic Monitoring with Distributed Acoustic Sensing Arrays and Optimum Array Processing. | Martijn van den Ende, Andr Ferrari, Anthony Sladen, Cdric Richard |
| 2021 | ICASSP | Convergence Analysis of the Graph-Topology-Inference Kernel LMS Algorithm. | Mircea Moscu, Ricardo Augusto Borsoi, Cdric Richard |
| 2020 | ICASSP | Non-parametric Community Change-points Detection in Streaming Graph Signals. | Andr Ferrari, Cdric Richard |
| 2020 | ICASSP | Proximal Multitask Learning Over Distributed Networks with Jointly Sparse Structure. | Danqi Jin, Jie Chen, Cdric Richard, Jingdong Chen |
| 2020 | ICASSP | Online Graph Topology Inference with Kernels For Brain Connectivity Estimation. | Mircea Moscu, Ricardo Augusto Borsoi, Cdric Richard |
| 2020 | ICASSP | Learning Spectral-Spatial Prior Via 3DDNCNN for Hyperspectral Image Deconvolution. | Xiuheng Wang, Jie Chen, Cdric Richard, David Brie |
| 2018 | ACSSC | Decentralized clustering for node-variant graph filtering with graph diffusion LMS. | Fei Hua, Roula Nassif, Cdric Richard, Haiyan Wang, Ali H. Sayed |
| 2018 | ACSSC | Decentralized Online Nonparametric Learning. | Alec Koppel, Santiago Paternain, Cdric Richard, Alejandro Ribeiro |
| 2018 | ICASSP | ADA-PT: An Adaptive Parameter Tuning Strategy Based on the Weighted Stein Unbiased Risk Estimator. | Rita Ammanouil, Andr Ferrari, Cdric Richard |
| 2018 | ICASSP | Adaptive Parameters Adjustment for Group Reweighted Zero-Attracting LMS. | Danqi Jin, Jie Chen, Cdric Richard, Jingdong Chen |
| 2018 | ICASSP | Distributed Diffusion Adaptation Over Graph Signals. | Roula Nassif, Cdric Richard, Jie Chen, Ali H. Sayed |
| 2017 | ACSSC | Penalty-based multitask distributed adaptation over networks with constraints. | Fei Hua, Roula Nassif, Cdric Richard, Haiyan Wang, Jianguo Huang |
| 2017 | ACSSC | A graph diffusion LMS strategy for adaptive graph signal processing. | Roula Nassif, Cdric Richard, Jie Chen, Ali H. Sayed |
| 2016 | ACSSC | Doubly compressed diffusion LMS over adaptive networks. | Ibrahim El Khalil Harrane, Rmi Flamary, Cdric Richard |
| 2016 | ACSSC | Distributed learning over multitask networks with linearly related tasks. | Roula Nassif, Cdric Richard, Andr Ferrari, Ali H. Sayed |
| 2016 | ICASSP | Unsupervised neighbor dependent nonlinear unmixing. | Rita Ammanouil, Andr Ferrari, Cdric Richard |
| 2016 | ICASSP | Group diffusion LMS. | Jie Chen, Shang-Kee Ting, Cdric Richard, Ali H. Sayed |
| 2016 | ICASSP | Diffusion LMS over multitask networks with noisy links. | Roula Nassif, Cdric Richard, Jie Chen, Andr Ferrari, Ali H. Sayed |
| 2016 | IGARSS | Robust nonlinear unmixing of hyperspectral images with a linear-mixture/nonlinear-fluctuation model. | Jie Chen, Cdric Richard |
| 2015 | ICASSP | A graph Laplacian regularization for hyperspectral data unmixing. | Rita Ammanouil, Andr Ferrari, Cdric Richard |
| 2015 | ICASSP | Convergence analysis of the augmented complex klms algorithm with pre-tuned dictionary. | Wei Gao, Jie Chen, Cdric Richard, Jos Carlos M. Bermudez, Jianguo Huang |
| 2015 | ICASSP | Multitask diffusion LMS with sparsity-based regularization. | Roula Nassif, Cdric Richard, Andr Ferrari, Ali H. Sayed |
| 2015 | ICASSP | A stochastic behavior analysis of stochastic restricted-gradient descent algorithm in reproducing kernel hilbert spaces. | Masa-aki Takizawa, Masahiro Yukawa, Cdric Richard |
| 2014 | ACSSC | Performance analysis of multitask diffusion adaptation over asynchronous networks. | Roula Nassif, Cdric Richard, Andr Ferrari, Ali H. Sayed |
| 2014 | ICASSP | Convergence analysis of kernel LMS algorithm with pre-tuned dictionary. | Jie Chen, Wei Gao, Cdric Richard, Jos Carlos M. Bermudez |
| 2014 | ICASSP | Nonlinear unmixing of hyperspectral images using a semiparametric model and spatial regularization. | Jie Chen, Cdric Richard, Alfred O. Hero III |
| 2014 | ICASSP | Diffusion LMS for clustered multitask networks. | Jie Chen, Cdric Richard, Ali H. Sayed |
| 2014 | ICASSP | Detection of nonlinear mixtures using Gaussian processes: Application to hyperspectral imaging. | Tales Imbiriba, Jos C. M. Bermudez, Jean-Yves Tourneret, Cdric Richard |
| 2013 | ICASSP | Nonlinear unmixing of hyperspectral data with partially linear least-squares support vector regression. | Jie Chen, Cdric Richard, Andr Ferrari, Paul Honeine |
| 2013 | ICASSP | Kernel LMS algorithm with forward-backward splitting for dictionary learning. | Wei Gao, Jie Chen, Cdric Richard, Jianguo Huang, Rmi Flamary |
| 2012 | ACSSC | Session WA3a: Adaptive signal processing. | Cdric Richard |
| 2012 | ACSSC | Closed-form conditions for convergence of the Gaussian kernel-least-mean-square algorithm. | Cdric Richard, Jos Carlos M. Bermudez |
| 2012 | ICASSP | A Gaussian process regression approach for testing Granger causality between time series data. | Pierre-Olivier Amblard, Olivier J. J. Michel, Cdric Richard, Paul Honeine |
| 2012 | ICASSP | Prediction of time series using Yule-Walker equations with kernels. | Maya Kallas, Paul Honeine, Cdric Richard, Clovis Francis, Hassan Amoud |
| 2012 | IGARSS | Hyperspectral image unmixing using manifold learning methods derivations and comparative tests. | Nguyen Hoang Nguyen, Cdric Richard, Paul Honeine, Cline Theys |
| 2012 | IGARSS | Prediction of rain attenuation series based on discretized spectral model. | Jie Chen, Cdric Richard, Paul Honeine, Jean-Yves Tourneret |
| 2011 | ACSSC | A modified non-negative LMS algorithm and its stochastic behavior analysis. | Jie Chen, Cdric Richard, Jos Carlos M. Bermudez, Paul Honeine |
| 2011 | ACSSC | A novel kernel-based nonlinear unmixing scheme of hyperspectral images. | Jie Chen, Cdric Richard, Paul Honeine |
| 2011 | AVSS | Abnormal events detection using unsupervised One-Class SVM - Application to audio surveillance and evaluation -. | Sbastien Lecomte, Rgis Lengell, Cdric Richard, Franois Capman, Bertrand Ravera |
| 2011 | ICASSP | Transitional surrogates. | Pierre Borgnat, Patrick Flandrin, Andr Ferrari, Cdric Richard |
| 2011 | ICASSP | Regularized split gradient method for nonnegative matrix factorization. | Henri Lantri, Cline Theys, Cdric Richard, David Mary |
| 2011 | ICASSP | Stochastic behavior analysis of the Gaussian Kernel Least Mean Square algorithm. | Wemerson Delcio Parreira, Jos Carlos M. Bermudez, Cdric Richard, Jean-Yves Tourneret |
| 2011 | IWCMC | Quantized variational filtering for target tracking and relay localization in sensor networks. | Majdi Mansouri, Lyes Khoukhi, Hichem Snoussi, Cdric Richard |
| 2011 | IWCMC | Optimal path selection for quantized target tracking in distributed sensor networks. | Majdi Mansouri, Hichem Snoussi, Cdric Richard |
| 2011 | IWCMC | Interval-based localization for mobile sensors in low-anchors density networks. | Farah Mourad, Hichem Snoussi, Cdric Richard |
| 2010 | GLOBECOM | Joint Multiple Target Tracking and Channel Estimation in Wireless Sensor Networks. | Majdi Mansouri, Hichem Snoussi, Cdric Richard |
| 2010 | ICASSP | Statistical hypothesis testing with time-frequency surrogates to check signal stationarity. | Cdric Richard, Andr Ferrari, Hassan Amoud, Paul Honeine, Patrick Flandrin, Pierre Borgnat |
| 2010 | IGARSS | A simple scheme for unmixing hyperspectral data based on the geometry of the N-dimensional simplex. | Paul Honeine, Cdric Richard |
| 2010 | VTC | A Sensor Selection Method for Target Tracking in Wireless Sensor Networks Using Quantized Variational Filtering. | Majdi Mansouri, Hichem Snoussi, Cdric Richard |
| 2009 | ICASSP | Functional estimation in Hilbert space for distributed learning in wireless sensor networks. | Paul Honeine, Cdric Richard, Jos Carlos M. Bermudez, Hichem Snoussi, Mehdi Essoloh, Franois Vincent |
| 2009 | ICASSP | Data-driven online variational filtering in wireless sensor networks. | Hichem Snoussi, Jean-Yves Tourneret, Petar M. Djuric, Cdric Richard |
| 2009 | ICASSP | Decentralized variational filtering for simultaneous sensor localization and target tracking in binary sensor networks. | Jing Teng, Hichem Snoussi, Cdric Richard |
| 2008 | ACSSC | Distributed prediction of time series data with kernels and adaptive filtering techniques in sensor networks. | Paul Honeine, Cdric Richard, Jos Carlos M. Bermudez, Hichem Snoussi |
| 2008 | GLOBECOM | Distributed Regression in Sensor Networks with a Reduced-Order Kernel Model. | Paul Honeine, Mehdi Essoloh, Cdric Richard, Hichem Snoussi |
| 2008 | GLOBECOM | Guaranteed Boxed Localization in MANETs by Interval Analysis and Constraints Propagation Techniques. | Farah Mourad, Hichem Snoussi, Fahed Abdallah, Cdric Richard |
| 2008 | ICASSP | Optimizing kernel alignment by data translation in feature space. | Jean-Baptiste Pothin, Cdric Richard |
| 2007 | ICASSP | Optimal Feature Representation for Kernel Machines using Kernel-Target Alignment Criterion. | Jean-Baptiste Pothin, Cdric Richard |
| 2007 | ISIT | On-line Nonlinear Sparse Approximation of Functions. | Paul Honeine, Cdric Richard, Jos Carlos M. Bermudez |
| 2006 | GLOBECOM | Distributed Bayesian Fault diagnosis in Collaborative Wireless Sensor Networks. | Hichem Snoussi, Cdric Richard |
| 2006 | ICASSP | Optimal Selection of Time-Frequency Representations for Signal Classification: a Kernel-Target Alignment Approach. | Paul Honeine, Cdric Richard, Patrick Flandrin, Jean-Baptiste Pothin |
| 2005 | ICASSP | Regularized kernel-based Wiener filtering. Application to magnetoencephalographic signals denoising. | Ibtissam Constantin, Cdric Richard, Rgis Lengell, Laurent Soufflet |
| 2004 | ICASSP | A sequential approach for multi-class discriminant analysis with kernels. | Fahed Abdallah, Cdric Richard, Rgis Lengell |
| 2004 | ICASSP | Diffusion equations for adaptive affine distributions. | Julien Gosme, Cdric Richard, Paulo Gonalves |
| 2003 | ICASSP | Kernel second-order discriminants versus support vector machines. | Fahed Abdallah, Cdric Richard, Rgis Lengell |
| 2001 | ICASSP | Time-frequency analysis of near-field optical data for extracting local attributes. | Dominique Barchiesi, Cdric Richard |
| 2000 | ICASSP | On the linear relations connecting the components of the discrete Wigner distribution in the case of real-valued signals. | Cdric Richard, Rgis Lengell |
| 1998 | ICASSP | Structural risk minimization for reduced-bias time-frequency-based detectors design. | Cdric Richard, Rgis Lengell |