Pierre-Olivier Amblard

Orcid: 0000-0002-7695-7728

According to our database1, Pierre-Olivier Amblard authored at least 68 papers between 1992 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Random Multi-Type Spanning Forests for Synchronization on Sparse Graphs.
CoRR, 2024

2023
Fusion of Distance Measurements Between Agents With Unknown Correlations.
IEEE Control. Syst. Lett., 2023

Smoothing Complex-Valued Signals on Graphs with Monte-Carlo.
Proceedings of the IEEE International Conference on Acoustics, 2023

A Faster Sampler for Discrete Determinantal Point Processes.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Gaussian Process Regression in the Flat Limit.
CoRR, 2022

Variance Reduction in Stochastic Methods for Large-Scale Regularized Least-Squares Problems.
Proceedings of the 30th European Signal Processing Conference, 2022

2021
On the Behavior of MEMD in Presence of Multivariate Fractional Gaussian Noise.
IEEE Trans. Signal Process., 2021

Graph Tikhonov Regularization and Interpolation Via Random Spanning Forests.
IEEE Trans. Signal Inf. Process. over Networks, 2021

2020
Monte Carlo integration of non-differentiable functions on [0, 1]<sup>ι</sup>, ι=1, ..., d, using a single determinantal point pattern defined on [0, 1]<sup>d</sup>.
CoRR, 2020

Smoothing Graph Signals via Random Spanning Forests.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Determinantal Point Processes for Coresets.
J. Mach. Learn. Res., 2019

2018
Optimized Algorithms to Sample Determinantal Point Processes.
CoRR, 2018

A Geometrical Study of the Bivariate Fractional Gaussian Noise.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Subsampling with K Determinantal Point Processes for Estimating Statistics in Large Data Sets.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

2017
Compressed and Quantized Correlation Estimators.
IEEE Trans. Signal Process., 2017

Information-Estimation Relationship in Mismatched Gaussian Channels.
IEEE Signal Process. Lett., 2017

Echantillonnage de signaux sur graphes via des processus déterminantaux.
CoRR, 2017

Experiments and Analysis for Fractional Order Modelling of an EEG Recording Process.
Proceedings of the 14th International Conference on Informatics in Control, 2017

Optimal Measurement Times for Observing a Brownian Motion over a Finite Period Using a Kalman Filter.
Proceedings of the Latent Variable Analysis and Signal Separation, 2017

Graph sampling with determinantal processes.
Proceedings of the 25th European Signal Processing Conference, 2017

2016
Performance bounds for coupled models.
Proceedings of the 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016

Multimodal Kalman filtering.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Impact of noise correlation on multimodality.
Proceedings of the 24th European Signal Processing Conference, 2016

2015
A Primer on Reproducing Kernel Hilbert Spaces.
Found. Trends Signal Process., 2015

A nonparametric efficient evaluation of partial directed coherence.
Biol. Cybern., 2015

Analysis of H-sssi processes using the crossing tree: An alternative to wavelets.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Crossing-tree partition functions.
Proceedings of the 23rd European Signal Processing Conference, 2015

Operator-valued kernel recursive least squares algorithm.
Proceedings of the 23rd European Signal Processing Conference, 2015

2014
Causal conditioning and instantaneous coupling in causality graphs.
Inf. Sci., 2014

Granger causality for functional valued random processes.
Proceedings of the International Symposium on Information Theory and its Applications, 2014

2013
Stationary Random Fields Arising From Second-Order Partial Differential Equations on Compact Lie Groups.
IEEE Trans. Inf. Theory, 2013

The Relation between Granger Causality and Directed Information Theory: A Review.
Entropy, 2013

On data sparsification and a recursive algorithm for estimating a kernel-based measure of independence.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Kernelizing Geweke's measures of granger causality.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

A Gaussian process regression approach for testing Granger causality between time series data.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
Identification of the Multivariate Fractional Brownian Motion.
IEEE Trans. Signal Process., 2011

Stationnarité relative et approches connexes.
Traitement du Signal, 2011

On directed information theory and Granger causality graphs.
J. Comput. Neurosci., 2011

2010
Communication of uncoded sensor measurements through nanoscale binary-node stochastic pooling networks.
Nano Commun. Networks, 2010

On multivariate fractional brownian motion and multivariate fractional Gaussian noise.
Proceedings of the 18th European Signal Processing Conference, 2010

2009
Measuring information flow in networks of stochastic processes
CoRR, 2009

Multispectral imaging the sun in the ultraviolet.
Proceedings of the First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2009

2007
Galton Watson Fractal Signals.
Proceedings of the IEEE International Conference on Acoustics, 2007

2006
A Parametric Approach to Suboptimal Signal Detection in $\alpha$-Stable Noise.
IEEE Trans. Signal Process., 2006

Networks of the Pooling Type and Optimal Quantization.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2005
Noise-aided processing: revisiting ditheringin a Sigma-Delta quantizer.
IEEE Trans. Signal Process., 2005

2004
Particle Filtering Equalization Method for a Satellite Communication Channel.
EURASIP J. Adv. Signal Process., 2004

2003
Stochastic resonance in locally optimal detectors.
IEEE Trans. Signal Process., 2003

Phase tracking: what do we gain from optimality? Particle filtering versus phase-locked loops.
Signal Process., 2003

Sequential Monte Carlo method for blind equalization of a nonlinear satellite communication channel.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

2002
Stochastic discrete scale invariance.
IEEE Signal Process. Lett., 2002

On the use of stochastic resonance in sine detection.
Signal Process., 2002

Blind Equalization of a Nonlinear Satellite System Using MCMC Simulation Methods.
EURASIP J. Adv. Signal Process., 2002

Self-adaptive PLL for general QAM constellations.
Proceedings of the 11th European Signal Processing Conference, 2002

Tracking of a Brownian phase with linear drift: Algorithms and performances.
Proceedings of the 11th European Signal Processing Conference, 2002

2001
Erratum: Stochastic resonance in discrete time nonlinear AR(1) models.
IEEE Trans. Signal Process., 2001

Wavelet packets and de-noising based on higher-order-statistics for transient detection.
Signal Process., 2001

2000
Can stochastic resonance be used in detection?
Proceedings of the 10th European Signal Processing Conference, 2000

1999
Stochastic resonance in discrete time nonlinear AR(1) models.
IEEE Trans. Signal Process., 1999

2-Dimensional stochastic resonance in a discrete time nonlinear system with a noisy elliptic input.
Proceedings of the IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing (NSIP'99), 1999

1998
Revisiting the estimation of the mean using order statistics.
Signal Process., 1998

Combining an adapted wavelet analysis with fourth-order statistics for transient detection.
Signal Process., 1998

1996
Statistics for complex variables and signals - Part II: signals.
Signal Process., 1996

Statistics for complex variables and signals - Part I: Variables.
Signal Process., 1996

1995
Adaptive estimation of the fourth-order cumulant of a white stochastic process.
Signal Process., 1995

1994
Frequency domain Volterra filters in terms of distributions.
IEEE Signal Process. Lett., 1994

A deductive construction of third-order time-frequency distributions.
Signal Process., 1994

1992
Edgeworth series expansion of the conditional mean and the optimality of non-linear Volterra filters.
Proceedings of the 1992 IEEE International Conference on Acoustics, 1992


  Loading...