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2020 – today
- 2024
[c32]Nicolas Le Bihan, Julien Flamant, Pierre-Olivier Amblard:
The Geometric Phase of Bivariate Signals. EUSIPCO 2024: 2562-2566- [c31]Colin Cros, Pierre-Olivier Amblard, Christophe Prieur, Jean-François Da Rocha:
Split Covariance Intersection with Correlated Components for Distributed Estimation. FUSION 2024: 1-6 - [i15]Hugo Jaquard, Pierre-Olivier Amblard, Simon Barthelmé, Nicolas Tremblay:
Random Multi-Type Spanning Forests for Synchronization on Sparse Graphs. CoRR abs/2403.19300 (2024) - 2023
- [j33]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: 2143-2148 (2023) - [c30]Simon Barthelmé, Nicolas Tremblay, Pierre-Olivier Amblard:
A Faster Sampler for Discrete Determinantal Point Processes. AISTATS 2023: 5582-5592 - [c29]Hugo Jaquard, Michaël Fanuel, Pierre-Olivier Amblard, Rémi Bardenet, Simon Barthelmé, Nicolas Tremblay:
Smoothing Complex-Valued Signals on Graphs with Monte-Carlo. ICASSP 2023: 1-5 - 2022
- [c28]Yusuf Yigit Pilavci, Pierre-Olivier Amblard, Simon Barthelmé, Nicolas Tremblay:
Variance Reduction in Stochastic Methods for Large-Scale Regularized Least-Squares Problems. EUSIPCO 2022: 1771-1775 - [i14]Simon Barthelmé, Pierre-Olivier Amblard, Nicolas Tremblay, Konstantin Usevich:
Gaussian Process Regression in the Flat Limit. CoRR abs/2201.01074 (2022) - [i13]Simon Barthelmé, Nicolas Tremblay, Pierre-Olivier Amblard:
A Faster Sampler for Discrete Determinantal Point Processes. CoRR abs/2210.17358 (2022) - 2021
- [j32]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: 359-374 (2021) - [j31]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: 2676-2688 (2021) - 2020
- [c27]Yusuf Yigit Pilavci, Pierre-Olivier Amblard, Simon Barthelmé, Nicolas Tremblay:
Smoothing Graph Signals via Random Spanning Forests. ICASSP 2020: 5630-5634 - [i12]Jean-François Coeurjolly, Adrien Mazoyer, Pierre-Olivier Amblard:
Monte Carlo integration of non-differentiable functions on [0, 1]ι, ι=1, ..., d, using a single determinantal point pattern defined on [0, 1]d. CoRR abs/2003.10323 (2020) - [i11]Yusuf Yigit Pilavci, Pierre-Olivier Amblard, Simon Barthelmé, Nicolas Tremblay:
Graph Tikhonov Regularization and Interpolation via Random Spanning Forests. CoRR abs/2011.10450 (2020)
2010 – 2019
- 2019
- [j30]Nicolas Tremblay, Simon Barthelmé, Pierre-Olivier Amblard:
Determinantal Point Processes for Coresets. J. Mach. Learn. Res. 20: 168:1-168:70 (2019) - [i10]Yusuf Yigit Pilavci, Pierre-Olivier Amblard, Simon Barthelmé, Nicolas Tremblay:
Smoothing graph signals via random spanning forests. CoRR abs/1910.07963 (2019) - 2018
- [c26]Jeanne Lefevre, Nicolas Le Bihan, Pierre-Olivier Amblard:
A Geometrical Study of the Bivariate Fractional Gaussian Noise. SSP 2018: 144-148 - [c25]Pierre-Olivier Amblard, Simon Barthelmé, Nicolas Tremblay:
Subsampling with K Determinantal Point Processes for Estimating Statistics in Large Data Sets. SSP 2018: 313-317 - [i9]Nicolas Tremblay, Simon Barthelmé, Pierre-Olivier Amblard:
Optimized Algorithms to Sample Determinantal Point Processes. CoRR abs/1802.08471 (2018) - [i8]Nicolas Tremblay, Simon Barthelmé, Pierre-Olivier Amblard:
Determinantal Point Processes for Coresets. CoRR abs/1803.08700 (2018) - 2017
- [j29]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): 688-692 (2017) - [j28]Augusto Zebadua, Pierre-Olivier Amblard, Eric Moisan, Olivier J. J. Michel:
Compressed and Quantized Correlation Estimators. IEEE Trans. Signal Process. 65(1): 56-68 (2017) - [c24]Nicolas Tremblay, Pierre-Olivier Amblard, Simon Barthelmé:
Graph sampling with determinantal processes. EUSIPCO 2017: 1674-1678 - [c23]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: 509-518 - [c22]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: 559-566 - [i7]Nicolas Tremblay, Pierre-Olivier Amblard, Simon Barthelmé:
Graph sampling with determinantal processes. CoRR abs/1703.01594 (2017) - [i6]Nicolas Tremblay, Simon Barthelmé, Pierre-Olivier Amblard:
Echantillonnage de signaux sur graphes via des processus déterminantaux. CoRR abs/1704.02239 (2017) - 2016
- [c21]Saloua Chlaily, Pierre-Olivier Amblard, Olivier J. J. Michel, Christian Jutten:
Impact of noise correlation on multimodality. EUSIPCO 2016: 195-199 - [c20]Anthony Bourrier, Pierre-Olivier Amblard, Olivier J. J. Michel, Christian Jutten:
Multimodal Kalman filtering. ICASSP 2016: 4413-4417 - [c19]Chengfang Ren, Rodrigo Cabral Farias, Pierre-Olivier Amblard, Pierre Comon:
Performance bounds for coupled models. SAM 2016: 1-5 - 2015
- [j27]Pierre-Olivier Amblard:
A nonparametric efficient evaluation of partial directed coherence. Biol. Cybern. 109(2): 203-214 (2015) - [j26]Jonathan H. Manton, Pierre-Olivier Amblard:
A Primer on Reproducing Kernel Hilbert Spaces. Found. Trends Signal Process. 8(1-2): 1-126 (2015) - [c18]Geoffrey Decrouez, Pierre-Olivier Amblard:
Crossing-tree partition functions. EUSIPCO 2015: 1008-1012 - [c17]Pierre-Olivier Amblard, Hachem Kadri:
Operator-valued kernel recursive least squares algorithm. EUSIPCO 2015: 2376-2380 - [c16]Geoffrey Decrouez, Pierre-Olivier Amblard:
Analysis of H-sssi processes using the crossing tree: An alternative to wavelets. ICASSP 2015: 3512-3515 - [i5]Augusto Zebadua, Pierre-Olivier Amblard, Eric Moisan, Olivier J. J. Michel:
Compressed and quantized correlation estimators. CoRR abs/1511.06639 (2015) - 2014
- [j25]Pierre-Olivier Amblard, Olivier J. J. Michel:
Causal conditioning and instantaneous coupling in causality graphs. Inf. Sci. 264: 279-290 (2014) - [c15]Pierre-Olivier Amblard, Olivier J. J. Michel:
Granger causality for functional valued random processes. ISITA 2014: 216-220 - 2013
- [j24]Pierre-Olivier Amblard, Olivier J. J. Michel:
The Relation between Granger Causality and Directed Information Theory: A Review. Entropy 15(1): 113-143 (2013) - [j23]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): 3497-3513 (2013) - [c14]Pierre-Olivier Amblard, Jonathan H. Manton:
On data sparsification and a recursive algorithm for estimating a kernel-based measure of independence. ICASSP 2013: 6446-6450 - 2012
- [c13]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: 3357-3360 - [c12]Pierre-Olivier Amblard, Rémy Vincent, Olivier J. J. Michel, Cédric Richard:
Kernelizing Geweke's measures of granger causality. MLSP 2012: 1-6 - [c11]Pierre-Olivier Amblard, Olivier J. J. Michel:
Causal conditioning and instantaneous coupling in causality graphs. SSP 2012: 105-108 - [i4]Pierre-Olivier Amblard, Olivier J. J. Michel:
Causal conditioning and instantaneous coupling in causality graphs. CoRR abs/1203.5572 (2012) - [i3]Pierre-Olivier Amblard, Olivier J. J. Michel:
The relation between Granger causality and directed information theory: a review. CoRR abs/1211.3169 (2012) - 2011
- [j22]Pierre-Olivier Amblard, Olivier J. J. Michel:
On directed information theory and Granger causality graphs. J. Comput. Neurosci. 30(1): 7-16 (2011) - [j21]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): 691-716 (2011) - [j20]Pierre-Olivier Amblard, Jean-François Coeurjolly:
Identification of the Multivariate Fractional Brownian Motion. IEEE Trans. Signal Process. 59(11): 5152-5168 (2011) - 2010
- [j19]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): 209-223 (2010) - [c10]Jean-François Coeurjolly, Pierre-Olivier Amblard, Sophie Achard:
On multivariate fractional brownian motion and multivariate fractional Gaussian noise. EUSIPCO 2010: 1567-1571 - [i2]Pierre-Olivier Amblard, Olivier J. J. Michel:
On directed information theory and Granger causality graphs. CoRR abs/1002.1446 (2010)
2000 – 2009
- 2009
- [c9]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: 1-4 - [i1]Pierre-Olivier Amblard, Olivier J. J. Michel:
Measuring information flow in networks of stochastic processes. CoRR abs/0911.2873 (2009) - 2007
- [c8]Geoffrey Decrouez, Pierre-Olivier Amblard, Jean-Marc Brossier, Owen D. Jones:
Galton Watson Fractal Signals. ICASSP (3) 2007: 1157-1160 - 2006
- [j18]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): 4497-4509 (2006) - [c7]Pierre-Olivier Amblard, Steeve Zozor, Olivier J. J. Michel:
Networks of the Pooling Type and Optimal Quantization. ICASSP (3) 2006: 716-719 - 2005
- [j17]Steeve Zozor, Pierre-Olivier Amblard:
Noise-aided processing: revisiting ditheringin a Sigma-Delta quantizer. IEEE Trans. Signal Process. 53(8-2): 3202-3210 (2005) - 2004
- [j16]Stéphane Sénécal, Pierre-Olivier Amblard, Laurent Cavazzana:
Particle Filtering Equalization Method for a Satellite Communication Channel. EURASIP J. Adv. Signal Process. 2004(15): 2315-2327 (2004) - 2003
- [j15]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): 151-167 (2003) - [j14]Steeve Zozor, Pierre-Olivier Amblard:
Stochastic resonance in locally optimal detectors. IEEE Trans. Signal Process. 51(12): 3177-3181 (2003) - [c6]Stéphane Sénécal, Pierre-Olivier Amblard, Laurent Cavazzana:
Sequential Monte Carlo method for blind equalization of a nonlinear satellite communication channel. ICASSP (6) 2003: 697-700 - 2002
- [j13]Stéphane Sénécal, Pierre-Olivier Amblard:
Blind Equalization of a Nonlinear Satellite System Using MCMC Simulation Methods. EURASIP J. Adv. Signal Process. 2002(1): 46-57 (2002) - [j12]Steeve Zozor, Pierre-Olivier Amblard:
On the use of stochastic resonance in sine detection. Signal Process. 82(3): 353-367 (2002) - [j11]Pierre Borgnat, Patrick Flandrin, Pierre-Olivier Amblard:
Stochastic discrete scale invariance. IEEE Signal Process. Lett. 9(6): 181-184 (2002) - [c5]Pierre-Olivier Amblard, Jean-Marc Brossier, Eric Moisan:
Tracking of a Brownian phase with linear drift: Algorithms and performances. EUSIPCO 2002: 1-4 - [c4]Jean-Marc Brossier, Pierre-Olivier Amblard, Benoit Geller:
Self-adaptive PLL for general QAM constellations. EUSIPCO 2002: 1-4 - 2001
- [j10]Philippe Ravier, Pierre-Olivier Amblard:
Wavelet packets and de-noising based on higher-order-statistics for transient detection. Signal Process. 81(9): 1909-1926 (2001) - [j9]Steeve Zozor, Pierre-Olivier Amblard:
Erratum: Stochastic resonance in discrete time nonlinear AR(1) models. IEEE Trans. Signal Process. 49(5): 1107-1109 (2001) - 2000
- [c3]Steeve Zozor, Pierre-Olivier Amblard:
Can stochastic resonance be used in detection? EUSIPCO 2000: 1-4
1990 – 1999
- 1999
- [j8]Steeve Zozor, Pierre-Olivier Amblard:
Stochastic resonance in discrete time nonlinear AR(1) models. IEEE Trans. Signal Process. 47(1): 108-122 (1999) - [c2]Steeve Zozor, Pierre-Olivier Amblard:
2-Dimensional stochastic resonance in a discrete time nonlinear system with a noisy elliptic input. NSIP 1999: 95-99 - 1998
- [j7]Steeve Zozor, Eric Moisan, Pierre-Olivier Amblard:
Revisiting the estimation of the mean using order statistics. Signal Process. 68(2): 155-173 (1998) - [j6]Philippe Ravier, Pierre-Olivier Amblard:
Combining an adapted wavelet analysis with fourth-order statistics for transient detection. Signal Process. 70(2): 115-128 (1998) - 1996
- [j5]Pierre-Olivier Amblard, M. Gaeta, Jean-Louis Lacoume:
Statistics for complex variables and signals - Part I: Variables. Signal Process. 53(1): 1-13 (1996) - [j4]Pierre-Olivier Amblard, M. Gaeta, Jean-Louis Lacoume:
Statistics for complex variables and signals - Part II: signals. Signal Process. 53(1): 15-25 (1996) - 1995
- [j3]Pierre-Olivier Amblard, Jean-Marc Brossier:
Adaptive estimation of the fourth-order cumulant of a white stochastic process. Signal Process. 42(1): 37-43 (1995) - 1994
- [j2]Pierre-Olivier Amblard, Jean-Louis Lacoume:
A deductive construction of third-order time-frequency distributions. Signal Process. 36(3): 277-286 (1994) - [j1]Pierre-Olivier Amblard, Eric Moisan:
Frequency domain Volterra filters in terms of distributions. IEEE Signal Process. Lett. 1(11): 169-172 (1994) - 1992
- [c1]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: 477-480
Coauthor Index
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