Performances of a non data aided estimator of the modulation index of continuous phase modulations. - Pascal Bianchi; Philippe Loubaton; François Sirven (ICASSP, 2002)

Blind joint estimation of the technical parameters of continuous phase modulated signals. - Pascal Bianchi; Philippe Loubaton; François Sirven (GLOBECOM, 2003)

Blind mimo detection of convolutively mixed CPM sources. - Marc Castella; Pascal Bianchi; Antoine Chevreuil; Jean-Christophe Pesquet (EUSIPCO, 2004)

Non data-aided estimation of the modulation index of continuous phase modulations. - Pascal Bianchi; Philippe Loubaton; François Sirven (IEEE Trans. Signal Process., 2004)

On the blind estimation of the parameters of continuous phase modulated signals. - Pascal Bianchi; Philippe Loubaton; François Sirven (IEEE J. Sel. Areas Commun., 2005)

CramÉR-Rao Bound and Training Sequence Selection for Mimo-Ofdma Transmissions Impaired by Frequency Offsets. - Serdar Sezginer; Pascal Bianchi (ICASSP (4), 2006)

A blind source separation framework for detecting CPM sources mixed by a convolutive MIMO filter. - Marc Castella; Pascal Bianchi; Antoine Chevreuil; Jean-Christophe Pesquet (Signal Process., 2006)

Asymptotically Efficient Reduced-Complexity Frequency Offset Estimation for Uplink MIMO-OFDMA Systems. - Serdar Sezginer; Pascal Bianchi (ICC, 2007)

On the Blind Equalization of Continuous Phase Modulated Signals Using the Constant Modulus Criterion. - Pascal Bianchi; Philippe Loubaton (IEEE Trans. Signal Process., 2007)

Asymptotic Cramér-Rao Bounds and Training Design for Uplink MIMO-OFDMA Systems With Frequency Offsets. - Serdar Sezginer; Pascal Bianchi; Walid Hachem (IEEE Trans. Signal Process., 2007)

Cooperative spectrum sensing using random matrix theory. - Leonardo S. Cardoso; Mérouane Debbah; Pascal Bianchi; Jamal Najim (ISWPC, 2008)

Outage probability optimization of certain wireless relaying protocols. - Walid Hachem; Pascal Bianchi; Philippe Ciblat (ITW, 2008)

Resource Allocation for Downlink Cellular OFDMA Systems: Part II - Asymptotic Analysis and Applications - Nassar Ksairi; Pascal Bianchi; Philippe Ciblat; Walid Hachem (CoRR, 2008)

Training Sequence Optimization for Joint Channel and Frequency Offset Estimation. - Philippe Ciblat; Pascal Bianchi; Mounir Ghogho (IEEE Trans. Signal Process., 2008)

Asymptotically Efficient Reduced Complexity Frequency Offset and Channel Estimators for Uplink MIMO-OFDMA Systems. - Serdar Sezginer; Pascal Bianchi (IEEE Trans. Signal Process., 2008)

On the Outage Probability Optimization in MISO Rician Channels. - Eric A. Bouton; Nassar Ksairi; Philippe Ciblat; Pascal Bianchi; Walid Hachem (WiMob, 2009)

Performance of Statistical Tests for Source Detection using Random Matrix Theory - Pascal Bianchi; Mérouane Debbah; Mylène Maïda; Jamal Najim (CoRR, 2009)

Training design for repetitive-slot-based CFO estimation in OFDM. - Mounir Ghogho; Philippe Ciblat; Ananthram Swami; Pascal Bianchi (IEEE Trans. Signal Process., 2009)

Outage Probability-Based Power and Time Optimization for Relay Networks. - Walid Hachem; Pascal Bianchi; Philippe Ciblat (IEEE Trans. Signal Process., 2009)

High-rate vector quantization for the Neyman-Pearson detection of some stationary mixing processes. - Joffrey Villard; Pascal Bianchi (ISIT, 2010)

Neyman-Pearson Detection of a Gaussian Source using Dumb Wireless Sensors - Pascal Bianchi; Jérémie Jakubowicz; François Roueff (CoRR, 2010)

High-Rate Quantization for the Neyman-Pearson Detection of Hidden Markov Processes - Joffrey Villard; Pascal Bianchi; Eric Moulines; Pablo Piantanida (CoRR, 2010)

Resource allocation for downlink cellular OFDMA systems: part I: optimal allocation. - Nassar Ksairi; Pascal Bianchi; Philippe Ciblat; Walid Hachem (IEEE Trans. Signal Process., 2010)

Resource allocation for downlink cellular OFDMA systems: part II: practical algorithms and optimal reuse factor. - Nassar Ksairi; Pascal Bianchi; Philippe Ciblat; Walid Hachem (IEEE Trans. Signal Process., 2010)

Distributed convex stochastic optimization under few constraints in large networks. - Romain Couillet; Pascal Bianchi; Jérémie Jakubowicz (CAMSAP, 2011)

Performance analysis of a distributed Robbins-Monro algorithm for sensor networks. - Pascal Bianchi; Gersende Fort; Walid Hachem; Jérémie Jakubowicz (EUSIPCO, 2011)

Segmentation of accelerometer signals recorded during continuous treadmill walking. - Laurent Oudre; Alexandre Lung-Yut-Fong; Pascal Bianchi (EUSIPCO, 2011)

Convergence of a distributed parameter estimator for sensor networks with local averaging of the estimates. - Pascal Bianchi; Gersende Fort; Walid Hachem; Jérémie Jakubowicz (ICASSP, 2011)

Distributed stochastic approximation for constrained and unconstrained optimization. - Pascal Bianchi; Jérémie Jakubowicz (VALUETOOLS, 2011)

On the Convergence of a Multi-Agent Projected Stochastic Gradient Algorithm - Pascal Bianchi; Jérémie Jakubowicz (CoRR, 2011)

Performance of Statistical Tests for Single-Source Detection Using Random Matrix Theory. - Pascal Bianchi; Mérouane Debbah; Mylène Maïda; Jamal Najim (IEEE Trans. Inf. Theory, 2011)

High-Rate Vector Quantization for the Neyman-Pearson Detection of Correlated Processes. - Joffrey Villard; Pascal Bianchi (IEEE Trans. Inf. Theory, 2011)

Linear Precoders for the Detection of a Gaussian Process in Wireless Sensors Networks. - Pascal Bianchi; Jérémie Jakubowicz; François Roueff (IEEE Trans. Signal Process., 2011)

Nearly Optimal Resource Allocation for Downlink OFDMA in 2-D Cellular Networks. - Nassar Ksairi; Pascal Bianchi; Philippe Ciblat (IEEE Trans. Wirel. Commun., 2011)

Distributed stochastic approximation: The price of non-double stochasticity. - Gemma Morral; Pascal Bianchi; Gersende Fort; Jérémie Jakubowicz (ACSCC, 2012)

Asynchronous distributed principal component analysis using stochastic approximation. - Gemma Morral; Pascal Bianchi; Jérémie Jakubowicz (CDC, 2012)

Distributed coordination of a formation of heterogeneous agents with individual regrets and asynchronous communications. - Nicolas Carlési; Pascal Bianchi (IROS, 2012)

On-line gossip-based distributed expectation maximization algorithm. - Gemma Morral; Pascal Bianchi; Jérémie Jakubowicz (SSP, 2012)

Robust average consensus using Total Variation Gossip Algorithm. - Walid Ben-Ameur; Pascal Bianchi; Jérémie Jakubowicz (VALUETOOLS, 2012)

Classification of Periodic Activities Using the Wasserstein Distance. - Laurent Oudre; Jérémie Jakubowicz; Pascal Bianchi; Chantal Simon (IEEE Trans. Biomed. Eng., 2012)

Performance Analysis over Slow Fading Channels of a Half-Duplex Single-Relay Protocol: Decode or Quantize and Forward. - Nassar Ksairi; Philippe Ciblat; Pascal Bianchi; Walid Hachem (IEEE Trans. Commun., 2012)

On-line learning gossip algorithm in multi-agent systems with local decision rules. - Pascal Bianchi; Stéphan Clémençon; Gemma Morral; Jérémie Jakubowicz (IEEE BigData, 2013)

A Total Variation based approach for robust consensus in distributed networks. - Walid Ben-Ameur; Pascal Bianchi; Jérémie Jakubowicz (CDC, 2013)

Asynchronous distributed optimization using a randomized alternating direction method of multipliers. - Franck Iutzeler; Pascal Bianchi; Philippe Ciblat; Walid Hachem (CDC, 2013)

Improving activity recognition using temporal coherence. - Abbas Ataya; Pierre Jallon; Pascal Bianchi; Maeva Doron (EMBC, 2013)

Estimation of physical activity monitored during the day-to-day life by an autonomous wearable device (SVELTE project). - Maeva Doron; Thomas Bastian; Aurelia Maire; Julien Dugas; Emilie Perrin; Florence Gris; Régis Guillemaud; Thibault Deschamps; Pascal Bianchi; Yanis Caritu; Chantal Simon; Pierre Jallon (EMBC, 2013)

Convergence of a Multi-Agent Projected Stochastic Gradient Algorithm for Non-Convex Optimization. - Pascal Bianchi; Jérémie Jakubowicz (IEEE Trans. Autom. Control., 2013)

Performance of a Distributed Stochastic Approximation Algorithm. - Pascal Bianchi; Gersende Fort; Walid Hachem (IEEE Trans. Inf. Theory, 2013)

Adaptive Learning Vector Quantization for Online Parametric Estimation. - Pascal Bianchi; Jérémie Jakubowicz (IEEE Trans. Signal Process., 2013)

A primal-dual algorithm for distributed optimization. - Pascal Bianchi; Walid Hachem (CDC, 2014)

Linear convergence rate for distributed optimization with the alternating direction method of multipliers. - Franck Iutzeler; Pascal Bianchi; Philippe Ciblat; Walid Hachem (CDC, 2014)

Success and failure of adaptation-diffusion algorithms for consensus in multi-agent networks. - Gemma Morral; Pascal Bianchi; Gersende Fort (CDC, 2014)

A stochastic primal-dual algorithm for distributed asynchronous composite optimization. - Pascal Bianchi; Walid Hachem; Franck Iutzeler (GlobalSIP, 2014)

Low complexity SON coordination using reinforcement learning. - Ovidiu Iacoboaiea; Berna Sayraç; Sana Ben Jemaa; Pascal Bianchi (GLOBECOM, 2014)

Distributed on-line multidimensional scaling for self-localization in wireless sensor networks. - Gemma Morral; Ndeye Amy Dieng; Pascal Bianchi (ICASSP, 2014)

A stochastic coordinate descent primal-dual algorithm and applications. - Pascal Bianchi; Walid Hachem; Franck Iutzeler (MLSP, 2014)

Coordinating SON instances: Reinforcement learning with distributed value function. - Ovidiu Iacoboaiea; Berna Sayraç; Sana Ben Jemaa; Pascal Bianchi (PIMRC, 2014)

SON conflict resolution using reinforcement learning with state aggregation. - Ovidiu Constantin Iacoboaiea; Berna Sayraç; Sana Ben Jemaa; Pascal Bianchi (AllThingsCellular@SIGCOMM, 2014)

Coordinating SON Instances: A Reinforcement Learning Framework. - Ovidiu Iacoboaiea; Berna Sayraç; Sana Ben Jemaa; Pascal Bianchi (VTC Fall, 2014)

SON Coordination for parameter conflict resolution: A reinforcement learning framework. - Ovidiu Iacoboaiea; Berna Sayraç; Sana Ben Jemaa; Pascal Bianchi (WCNC Workshops, 2014)

A Stochastic Coordinate Descent Primal-Dual Algorithm and Applications to Large-Scale Composite Optimization. - Pascal Bianchi; Walid Hachem; Franck Iutzeler (CoRR, 2014)

Adaptive Sampling for Incremental Optimization Using Stochastic Gradient Descent. - Guillaume Papa; Pascal Bianchi; Stéphan Clémençon (ALT, 2015)

A stochastic proximal point algorithm: convergence and application to convex optimization. - Pascal Bianchi (CAMSAP, 2015)

SON conflict diagnosis in heterogeneous networks. - Ovidiu Iacoboaiea; Berna Sayraç; Sana Ben Jemaa; Pascal Bianchi (PIMRC, 2015)

Using big steps in coordinate descent primal-dual algorithms. - Pascal Bianchi; Olivier Fercoq (CDC, 2016)

A stochastic proximal point algorithm for total variation regularization over large scale graphs. - Adil Salim; Pascal Bianchi; Walid Hachem; Jérémie Jakubowicz (CDC, 2016)

Two distributed algorithms for the deconvolution of large radio-interferometric multispectral images. - Celine Meillier; Pascal Bianchi; Walid Hachem (EUSIPCO, 2016)

Dynamical Behavior of a Stochastic Forward-Backward Algorithm Using Random Monotone Operators. - Pascal Bianchi; Walid Hachem (J. Optim. Theory Appl., 2016)

Ergodic Convergence of a Stochastic Proximal Point Algorithm. - Pascal Bianchi (SIAM J. Optim., 2016)

Distributed on-line multidimensional scaling for self-localization in wireless sensor networks. - Gemma Morral; Pascal Bianchi (Signal Process., 2016)

Robust Distributed Consensus Using Total Variation. - Walid Ben-Ameur; Pascal Bianchi; Jérémie Jakubowicz (IEEE Trans. Autom. Control., 2016)

A Coordinate Descent Primal-Dual Algorithm and Application to Distributed Asynchronous Optimization. - Pascal Bianchi; Walid Hachem; Franck Iutzeler (IEEE Trans. Autom. Control., 2016)

Explicit Convergence Rate of a Distributed Alternating Direction Method of Multipliers. - Franck Iutzeler; Pascal Bianchi; Philippe Ciblat; Walid Hachem (IEEE Trans. Autom. Control., 2016)

On Mobility Parameter Configurations That Can Lead to Chained Handovers. - Ovidiu Iacoboaiea; Berna Sayraç; Sana Ben Jemaa; Pascal Bianchi (IEEE Trans. Commun., 2016)

SON Coordination in Heterogeneous Networks: A Reinforcement Learning Framework. - Ovidiu Constantin Iacoboaiea; Berna Sayraç; Sana Ben Jemaa; Pascal Bianchi (IEEE Trans. Wirel. Commun., 2016)

An adaptive distributed asynchronous algorithm with application to target localization. - Rahul Mourya; Pascal Bianchi; Adil Salim; Cédric Richard (CAMSAP, 2017)

Distributed approach for deblurring large images with shift-variant blur. - Rahul Mourya; André Ferrari; Rémi Flamary; Pascal Bianchi; Cédric Richard (EUSIPCO, 2017)

Success and Failure of Adaptation-Diffusion Algorithms With Decaying Step Size in Multiagent Networks. - Gemma Morral; Pascal Bianchi; Gersende Fort (IEEE Trans. Signal Process., 2017)

A Constant Step Stochastic Douglas-Rachford Algorithm with Application to non Separable Regularizations. - Adil Salim; Pascal Bianchi; Walid Hachem (ICASSP, 2018)

Convergence of the ADAM algorithm from a Dynamical System Viewpoint. - Anas Barakat; Pascal Bianchi (CoRR, 2018)

Distribution strategies for very large 3D image deconvolution algorithms. - Celine Meillier; Rita Ammanouil; André Ferrari; Pascal Bianchi (Signal Process. Image Commun., 2018)

Convergence Analysis of a Momentum Algorithm with Adaptive Step Size for Non Convex Optimization. - Anas Barakat; Pascal Bianchi (CoRR, 2019)

A Coordinate-Descent Primal-Dual Algorithm with Large Step Size and Possibly Nonseparable Functions. - Olivier Fercoq; Pascal Bianchi (SIAM J. Optim., 2019)

Snake: A Stochastic Proximal Gradient Algorithm for Regularized Problems Over Large Graphs. - Adil Salim; Pascal Bianchi; Walid Hachem (IEEE Trans. Autom. Control., 2019)

Convergence Rates of a Momentum Algorithm with Bounded Adaptive Step Size for Nonconvex Optimization. - Anas Barakat; Pascal Bianchi (ACML, 2020)

Metric Learning for Fingerprint RSSI-Localization. - Kevin Elgui; Pascal Bianchi; Olivier Isson; François Portier; Renaud Marty (PLANS, 2020)

Convergence of constant step stochastic gradient descent for non-smooth non-convex functions. - Pascal Bianchi; Walid Hachem; Sholom Schechtman (CoRR, 2020)

Learning methods for RSSI-based geolocation: A comparative study. - Kevin Elgui; Pascal Bianchi; François Portier; Olivier Isson (Pervasive Mob. Comput., 2020)

A fully stochastic primal-dual algorithm. - Pascal Bianchi; Walid Hachem; Adil Salim (Optim. Lett., 2021)

Convergence and Dynamical Behavior of the ADAM Algorithm for Nonconvex Stochastic Optimization. - Anas Barakat; Pascal Bianchi (SIAM J. Optim., 2021)

Analysis of a Target-Based Actor-Critic Algorithm with Linear Function Approximation. - Anas Barakat; Pascal Bianchi; Julien Lehmann (AISTATS, 2022)

Conditional independence testing via weighted partial copulas. - Pascal Bianchi; Kevin Elgui; François Portier (J. Multivar. Anal., 2023)

Stochastic Subgradient Descent Escapes Active Strict Saddles on Weakly Convex Functions. - Pascal Bianchi; Walid Hachem; Sholom Schechtman (Math. Oper. Res., 2024)

Long-time asymptotics of noisy SVGD outside the population limit. - Victor Priser; Pascal Bianchi; Adil Salim (ICLR, 2025)

How to craft a deep reinforcement learning policy for wind farm flow control. - Elie Kadoche; Pascal Bianchi; Florence Carton; Philippe Ciblat; Damien Ernst (CoRR, 2025)