Pierre-Olivier Amblard

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 28

Top Topics

Point Processes

Recursive Least Squares

Top Venues

Publications

Hugo Jaquard, Pierre-Olivier Amblard, Simon Barthelmé, Nicolas Tremblay
Random Multi-Type Spanning Forests for Synchronization on Sparse Graphs. CoRR (2024)
Hugo Jaquard, Michaël Fanuel, Pierre-Olivier Amblard, Rémi Bardenet, Simon Barthelmé, Nicolas Tremblay
Smoothing Complex-Valued Signals on Graphs with Monte-Carlo. ICASSP (2023)
Simon Barthelmé, Nicolas Tremblay, Pierre-Olivier Amblard
A Faster Sampler for Discrete Determinantal Point Processes. AISTATS (2023)
Colin Cros, Pierre-Olivier Amblard, Christophe Prieur, Jean-François Da Rocha
Fusion of Distance Measurements Between Agents With Unknown Correlations. IEEE Control. Syst. Lett. 7 (2023)
Simon Barthelmé, Pierre-Olivier Amblard, Nicolas Tremblay, Konstantin Usevich
Gaussian Process Regression in the Flat Limit. CoRR (2022)
Yusuf Yigit Pilavci, Pierre-Olivier Amblard, Simon Barthelmé, Nicolas Tremblay
Variance Reduction in Stochastic Methods for Large-Scale Regularized Least-Squares Problems. EUSIPCO (2022)
Simon Barthelmé, Nicolas Tremblay, Pierre-Olivier Amblard
A Faster Sampler for Discrete Determinantal Point Processes. CoRR (2022)
Yusuf Yigit Pilavci, Pierre-Olivier Amblard, Simon Barthelmé, Nicolas Tremblay
Graph Tikhonov Regularization and Interpolation Via Random Spanning Forests. IEEE Trans. Signal Inf. Process. over Networks 7 (2021)
Ali Komaty, Abdel-Ouahab Boudraa, Patrick Flandrin, Pierre-Olivier Amblard, Jacques-André Astolfi
On the Behavior of MEMD in Presence of Multivariate Fractional Gaussian Noise. IEEE Trans. Signal Process. 69 (2021)
Yusuf Yigit Pilavci, Pierre-Olivier Amblard, Simon Barthelmé, Nicolas Tremblay
Graph Tikhonov Regularization and Interpolation via Random Spanning Forests. CoRR (2020)
Yusuf Yigit Pilavci, Pierre-Olivier Amblard, Simon Barthelmé, Nicolas Tremblay
Smoothing Graph Signals via Random Spanning Forests. ICASSP (2020)
Jean-François Coeurjolly, Adrien Mazoyer, Pierre-Olivier Amblard
. CoRR (2020)
Yusuf Yigit Pilavci, Pierre-Olivier Amblard, Simon Barthelmé, Nicolas Tremblay
Smoothing graph signals via random spanning forests. CoRR (2019)
Nicolas Tremblay, Simon Barthelmé, Pierre-Olivier Amblard
Determinantal Point Processes for Coresets. J. Mach. Learn. Res. 20 (2019)
Nicolas Tremblay, Simon Barthelmé, Pierre-Olivier Amblard
Determinantal Point Processes for Coresets. CoRR (2018)
Pierre-Olivier Amblard, Simon Barthelmé, Nicolas Tremblay
Subsampling with K Determinantal Point Processes for Estimating Statistics in Large Data Sets. SSP (2018)
Nicolas Tremblay, Simon Barthelmé, Pierre-Olivier Amblard
Optimized Algorithms to Sample Determinantal Point Processes. CoRR (2018)
Jeanne Lefevre, Nicolas Le Bihan, Pierre-Olivier Amblard
A Geometrical Study of the Bivariate Fractional Gaussian Noise. SSP (2018)
Alexandre Aksenov, Pierre-Olivier Amblard, Olivier J. J. Michel, Christian Jutten
Optimal Measurement Times for Observing a Brownian Motion over a Finite Period Using a Kalman Filter. LVA/ICA (2017)
Nicolas Tremblay, Pierre-Olivier Amblard, Simon Barthelmé
Graph sampling with determinantal processes. EUSIPCO (2017)
Guillaume Becq, Alina Voda, Gildas Besançon, Pierre-Olivier Amblard, Olivier J. J. Michel
Experiments and Analysis for Fractional Order Modelling of an EEG Recording Process. ICINCO (1) (2017)
Nicolas Tremblay, Pierre-Olivier Amblard, Simon Barthelmé
Graph sampling with determinantal processes. CoRR (2017)
Nicolas Tremblay, Simon Barthelmé, Pierre-Olivier Amblard
Echantillonnage de signaux sur graphes via des processus déterminantaux. CoRR (2017)
Saloua Chlaily, Chengfang Ren, Pierre-Olivier Amblard, Olivier J. J. Michel, Pierre Comon, Christian Jutten
Information-Estimation Relationship in Mismatched Gaussian Channels. IEEE Signal Process. Lett. 24 (5) (2017)
Augusto Zebadua, Pierre-Olivier Amblard, Eric Moisan, Olivier J. J. Michel
Compressed and Quantized Correlation Estimators. IEEE Trans. Signal Process. 65 (1) (2017)
Chengfang Ren, Rodrigo Cabral Farias, Pierre-Olivier Amblard, Pierre Comon
Performance bounds for coupled models. SAM (2016)
Anthony Bourrier, Pierre-Olivier Amblard, Olivier J. J. Michel, Christian Jutten
Multimodal Kalman filtering. ICASSP (2016)
Saloua Chlaily, Pierre-Olivier Amblard, Olivier J. J. Michel, Christian Jutten
Impact of noise correlation on multimodality. EUSIPCO (2016)
Augusto Zebadua, Pierre-Olivier Amblard, Eric Moisan, Olivier J. J. Michel
Compressed and quantized correlation estimators. CoRR (2015)
Geoffrey Decrouez, Pierre-Olivier Amblard
Analysis of H-sssi processes using the crossing tree: An alternative to wavelets. ICASSP (2015)
Pierre-Olivier Amblard, Hachem Kadri
Operator-valued kernel recursive least squares algorithm. EUSIPCO (2015)
Geoffrey Decrouez, Pierre-Olivier Amblard
Crossing-tree partition functions. EUSIPCO (2015)
Jonathan H. Manton, Pierre-Olivier Amblard
A Primer on Reproducing Kernel Hilbert Spaces. Found. Trends Signal Process. 8 (1-2) (2015)
Pierre-Olivier Amblard
A nonparametric efficient evaluation of partial directed coherence. Biol. Cybern. 109 (2) (2015)
Pierre-Olivier Amblard, Olivier J. J. Michel
Granger causality for functional valued random processes. ISITA (2014)
Pierre-Olivier Amblard, Olivier J. J. Michel
Causal conditioning and instantaneous coupling in causality graphs. Inf. Sci. 264 (2014)
Pierre-Olivier Amblard, Jonathan H. Manton
On data sparsification and a recursive algorithm for estimating a kernel-based measure of independence. ICASSP (2013)
Salem Said, Pierre-Olivier Amblard, Jonathan H. Manton
Stationary Random Fields Arising From Second-Order Partial Differential Equations on Compact Lie Groups. IEEE Trans. Inf. Theory 59 (6) (2013)
Pierre-Olivier Amblard, Olivier J. J. Michel
The Relation between Granger Causality and Directed Information Theory: A Review. Entropy 15 (1) (2013)
Pierre-Olivier Amblard, Olivier J. J. Michel
Causal conditioning and instantaneous coupling in causality graphs. SSP (2012)
Pierre-Olivier Amblard, Olivier J. J. Michel, Cédric Richard, Paul Honeine
A Gaussian process regression approach for testing Granger causality between time series data. ICASSP (2012)
Pierre-Olivier Amblard, Olivier J. J. Michel
The relation between Granger causality and directed information theory: a review CoRR (2012)
Pierre-Olivier Amblard, Olivier J. J. Michel
Causal conditioning and instantaneous coupling in causality graphs CoRR (2012)
Pierre-Olivier Amblard, Rémy Vincent, Olivier J. J. Michel, Cédric Richard
Kernelizing Geweke's measures of granger causality. MLSP (2012)
Patrick Flandrin, Cédric Richard, Pierre-Olivier Amblard, Pierre Borgnat, Paul Honeine, Hassan Amoud, André Ferrari, Jun Xiao, Azadeh Moghtaderi, Pepa Ramírez-Cobo
Stationnarité relative et approches connexes. Traitement du Signal 28 (6) (2011)
Pierre-Olivier Amblard, Jean-François Coeurjolly
Identification of the Multivariate Fractional Brownian Motion. IEEE Trans. Signal Process. 59 (11) (2011)
Pierre-Olivier Amblard, Olivier J. J. Michel
On directed information theory and Granger causality graphs. J. Comput. Neurosci. 30 (1) (2011)
Pierre-Olivier Amblard, Olivier J. J. Michel
On directed information theory and Granger causality graphs CoRR (2010)
Jean-François Coeurjolly, Pierre-Olivier Amblard, Sophie Achard
On multivariate fractional brownian motion and multivariate fractional Gaussian noise. EUSIPCO (2010)
Mark D. McDonnell, Nigel G. Stocks, Pierre-Olivier Amblard
Communication of uncoded sensor measurements through nanoscale binary-node stochastic pooling networks. Nano Commun. Networks 1 (3) (2010)
Pierre-Olivier Amblard, Olivier J. J. Michel
Measuring information flow in networks of stochastic processes CoRR (2009)
Thierry Dudok De Wit, Saïd Moussaoui, Pierre-Olivier Amblard, Jean Aboudarham, Frederic Auchère, Matthieu Kretzschmar, Jean Lilensten
Multispectral imaging the sun in the ultraviolet. WHISPERS (2009)
Geoffrey Decrouez, Pierre-Olivier Amblard, Jean-Marc Brossier, Owen D. Jones
Galton Watson Fractal Signals. ICASSP (3) (2007)
Pierre-Olivier Amblard, Steeve Zozor, Olivier J. J. Michel
Networks of the Pooling Type and Optimal Quantization. ICASSP (3) (2006)
Steeve Zozor, Jean-Marc Brossier, Pierre-Olivier Amblard
A Parametric Approach to Suboptimal Signal Detection in $\alpha$-Stable Noise. IEEE Trans. Signal Process. 54 (12) (2006)
Steeve Zozor, Pierre-Olivier Amblard
Noise-aided processing: revisiting ditheringin a Sigma-Delta quantizer. IEEE Trans. Signal Process. 53 (8-2) (2005)
Stéphane Sénécal, Pierre-Olivier Amblard, Laurent Cavazzana
Particle Filtering Equalization Method for a Satellite Communication Channel. EURASIP J. Adv. Signal Process. 2004 (15) (2004)
Stéphane Sénécal, Pierre-Olivier Amblard, Laurent Cavazzana
Sequential Monte Carlo method for blind equalization of a nonlinear satellite communication channel. ICASSP (6) (2003)
Steeve Zozor, Pierre-Olivier Amblard
Stochastic resonance in locally optimal detectors. IEEE Trans. Signal Process. 51 (12) (2003)
Pierre-Olivier Amblard, Jean-Marc Brossier, Eric Moisan
Phase tracking: what do we gain from optimality? Particle filtering versus phase-locked loops. Signal Process. 83 (1) (2003)
Steeve Zozor, Pierre-Olivier Amblard
On the use of stochastic resonance in sine detection. Signal Process. 82 (3) (2002)
Pierre-Olivier Amblard, Jean-Marc Brossier, Eric Moisan
Tracking of a Brownian phase with linear drift: Algorithms and performances. EUSIPCO (2002)
Stéphane Sénécal, Pierre-Olivier Amblard
Blind Equalization of a Nonlinear Satellite System Using MCMC Simulation Methods. EURASIP J. Adv. Signal Process. 2002 (1) (2002)
Jean-Marc Brossier, Pierre-Olivier Amblard, Benoit Geller
Self-adaptive PLL for general QAM constellations. EUSIPCO (2002)
Pierre Borgnat, Patrick Flandrin, Pierre-Olivier Amblard
Stochastic discrete scale invariance. IEEE Signal Process. Lett. 9 (6) (2002)
Steeve Zozor, Pierre-Olivier Amblard
Erratum: Stochastic resonance in discrete time nonlinear AR(1) models. IEEE Trans. Signal Process. 49 (5) (2001)
Philippe Ravier, Pierre-Olivier Amblard
Wavelet packets and de-noising based on higher-order-statistics for transient detection. Signal Process. 81 (9) (2001)
Steeve Zozor, Pierre-Olivier Amblard
Can stochastic resonance be used in detection? EUSIPCO (2000)
Steeve Zozor, Pierre-Olivier Amblard
2-Dimensional stochastic resonance in a discrete time nonlinear system with a noisy elliptic input. NSIP (1999)
Steeve Zozor, Pierre-Olivier Amblard
Stochastic resonance in discrete time nonlinear AR(1) models. IEEE Trans. Signal Process. 47 (1) (1999)
Steeve Zozor, Eric Moisan, Pierre-Olivier Amblard
Revisiting the estimation of the mean using order statistics. Signal Process. 68 (2) (1998)
Philippe Ravier, Pierre-Olivier Amblard
Combining an adapted wavelet analysis with fourth-order statistics for transient detection. Signal Process. 70 (2) (1998)
Pierre-Olivier Amblard, M. Gaeta, Jean-Louis Lacoume
Statistics for complex variables and signals - Part I: Variables. Signal Process. 53 (1) (1996)
Pierre-Olivier Amblard, M. Gaeta, Jean-Louis Lacoume
Statistics for complex variables and signals - Part II: signals. Signal Process. 53 (1) (1996)
Pierre-Olivier Amblard, Jean-Marc Brossier
Adaptive estimation of the fourth-order cumulant of a white stochastic process. Signal Process. 42 (1) (1995)
Pierre-Olivier Amblard, Jean-Louis Lacoume
A deductive construction of third-order time-frequency distributions. Signal Process. 36 (3) (1994)
Pierre-Olivier Amblard, Eric Moisan
Frequency domain Volterra filters in terms of distributions. IEEE Signal Process. Lett. 1 (11) (1994)
Pierre-Olivier Amblard, Daniel Baudois, Jean-Louis Lacoume
Edgeworth series expansion of the conditional mean and the optimality of non-linear Volterra filters. ICASSP (1992)