Victor Solo

According to our database1, Victor Solo authored at least 171 papers between 1986 and 2021.

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Awards

IEEE Fellow

IEEE Fellow 1994, "For contributions to the theory of adaptive signal processing, identification, and control.".

Timeline

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Bibliography

2021
Clustering A Collection of Networks With Mixtures of L1-Sparse Graphical Models.
Proceedings of the IEEE International Conference on Acoustics, 2021

Numerical Solution of Stochastic Differential Equations in Stiefel Manifolds via Tangent Space Parametrization.
Proceedings of the IEEE International Conference on Acoustics, 2021

Mutual Information Flows in a Bivariate Point Process.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Individual Resting-State Brain Networks Enabled by Massive Multivariate Conditional Mutual Information.
IEEE Trans. Medical Imaging, 2020

Truncated Hawkes point process modeling: System theory and system identification.
Autom., 2020

Fast Block-Sparse Estimation for Vector Networks.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Large-Scale Time Series Clustering with k-ARs.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Lie Group State Estimation via Optimal Transport.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Particle Filtering on the Stiefel Manifold with Optimal Transport.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

On the Cramer-Rao Bound in Riemannian Manifolds with Application to SO(3).
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

An EM Algorithm for the Time-Variant Vector Hawkes Process.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019
Innovation Starts With Education: ICASSP 2019 Education Panel [SP Forum].
IEEE Signal Process. Mag., 2019

LMS: Past, Present and Future.
Proceedings of the IEEE International Conference on Acoustics, 2019

Numerical Methods for Stochastic Differential Equations in Stiefel Manifolds via the Cayley Transform.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Ito, Stratonovich and Geometry.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

On Random Matrix Theory and Autoregressive Modeling.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Adaptive Estimation of a Vector Point Process Mode.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
Connectivity in fMRI: Blind Spots and Breakthroughs.
IEEE Trans. Medical Imaging, 2018

On the Reliability of Individual Brain Activity Networks.
IEEE Trans. Medical Imaging, 2018

Numerical Methods for Stochastic Differential Equations in Matrix Lie Groups Made Simple.
IEEE Trans. Autom. Control., 2018

Non-Negative Online Estimation for Hawkes Process Networks.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Sparse Topology Identification for Point Process Networks.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Vector ℓ0 Sparse Conditional Independence Graphs.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Stochastic Attitude Synchronization.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017
Corrections to "Diffusion LMS With Correlated Regressors I: Realization-Wise Stability".
IEEE Trans. Signal Process., 2017

Diffusion LMS With Correlated Regressors II: Performance.
IEEE Trans. Signal Process., 2017

Topological Distances Between Brain Networks.
Proceedings of the Connectomics in NeuroImaging - First International Workshop, 2017

An engineer's guide to Particle Filtering on the Stiefel manifold.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Stability of adaptive network algorithms in multitask environments.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016
Diffusion LMS With Correlated Regressors I: Realization-Wise Stability.
IEEE Trans. Signal Process., 2016

Geometric Euler-Maruyama Schemes for Stochastic Differential Equations in SO(n) and SE(n).
SIAM J. Numer. Anal., 2016

State-Space Analysis of Granger-Geweke Causality Measures with Application to fMRI.
Neural Comput., 2016

Network comparison with frequency domain persistent homology.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Distributed dyadic cyclic descent for non-negative matrix factorization.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

What to do about noisy consensus?
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Large-scale l0 sparse inverse covariance estimation.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

An engineer's guide to particle filtering on matrix Lie groups.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Local likelihood estimation of time-variant Hawkes models.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Noisy subspace tracking in continuous time.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Numerical methods for stochastic differential equations in the Stiefel manifold made simple.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015
Spatially Sparse, Temporally Smooth MEG Via Vector ℓ<sub>0</sub>.
IEEE Trans. Medical Imaging, 2015

Brain Activity: Connectivity, Sparsity, and Mutual Information.
IEEE Trans. Medical Imaging, 2015

Selecting the Number of Principal Components with SURE.
IEEE Signal Process. Lett., 2015

Brain activity: Conditional dissimilarity and persistent homology.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Sparse and low rank decomposition using l0 penalty.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Time-varying vector Poisson processes with coincidences.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Tikhonov-Galerkin stochastic system identification in SO(3).
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Distributed topology identification for point process dynamic networks.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Stability of distributed adaptive algorithms I: Consensus algorithms.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Stochastic system identification in SO(3).
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Stability of distributed adaptive algorithms II: Diffusion algorithms.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Distributed topology identification for sparse point process dynamic networks.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

A simple approach to numerical methods for stochastic differential equations in Lie groups.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Maximum likelihood identification of Hawkes-Pham models with a guaranteed stability condition.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014
On l<sub>q</sub> Optimization and Sparse Inverse Covariance Selection.
IEEE Trans. Signal Process., 2014

l<sub>q</sub> Sparsity Penalized Linear Regression With Cyclic Descent.
IEEE Trans. Signal Process., 2014

Group Sparsity via SURE Based on Regression Parameter Mean Squared Error.
IEEE Signal Process. Lett., 2014

Sparse component analysis via dyadic cyclic descent.
Proceedings of the IEEE International Conference on Acoustics, 2014

Topology identification of dynamic point process networks.
Proceedings of the IEEE International Conference on Acoustics, 2014

Vector ℓ0 latent-space principal component analysis.
Proceedings of the IEEE International Conference on Acoustics, 2014

An approach to stochastic system identification in riemannian manifolds.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Stochastic numerical analysis for Brownian motion on SO(3).
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Topology identification for sparse dynamic point process networks.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013
Space-Time Separability in FMRI: Asymptotic Power Analysis and Cramér-Rao Lower Bounds.
IEEE Trans. Signal Process., 2013

Tuning Parameter Selection for Underdetermined Reduced-Rank Regression.
IEEE Signal Process. Lett., 2013

Point-Process Principal Components Analysis via Geometric Optimization.
Neural Comput., 2013

Sparse component selection with application to MEG source localization.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Direct mapping of T2* signal changes induced by Transcranial Direct Current Stimulation.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Tuning parameter selection for nonnegative matrix factorization.
Proceedings of the IEEE International Conference on Acoustics, 2013

Threshold selection for noisy matrix completion.
Proceedings of the IEEE International Conference on Acoustics, 2013

Hawkes-laguerre reduced rank model for point processes.
Proceedings of the IEEE International Conference on Acoustics, 2013

On exact lq denoising.
Proceedings of the IEEE International Conference on Acoustics, 2013

Hawkes-Laguerre dynamic index models for point processes.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

2012
On l<sub>q</sub> Optimization and Matrix Completion.
IEEE Trans. Signal Process., 2012

Identifying fMRI Model Violations With Lagrange Multiplier Tests.
IEEE Trans. Medical Imaging, 2012

Estimation of high-dimensional linear factor models with grouped variables.
J. Multivar. Anal., 2012

Grouped L0 least squares penalised Magnetoencephalography.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

fMRI model diagnostics for the Double Gamma and temporal derivative.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Sparse loading noisy PCA using an l0 penalty.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Averaging stability analysis of a new attitude estimation algorithm.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

On vector L0 penalized multivariate regression.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

lq matrix completion.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Computing the trajectory mutual information between a point process and an analog stochastic process.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Adaptive estimation of stochastic differential games.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Stochastic stability of an attitude estimation algorithm on SO(3).
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Sparse coloured system identification with guaranteed stability.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Topology identification of a sparse dynamic network.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011
Vector l<sub>0</sub> Sparse Variable PCA.
IEEE Trans. Signal Process., 2011

Rician Distributed FMRI: Asymptotic Power Analysis and Cramér-Rao Lower Bounds.
IEEE Trans. Signal Process., 2011

Sparse variable reduced rank regression via Stiefel optimization.
Proceedings of the IEEE International Conference on Acoustics, 2011

Time-to-Onset latency in fMRI: Fast detection of delayed activation.
Proceedings of the IEEE International Conference on Acoustics, 2011

L0 sparse graphical modeling.
Proceedings of the IEEE International Conference on Acoustics, 2011

2010
Stabilization and Disturbance Attenuation Over a Gaussian Communication Channel.
IEEE Trans. Autom. Control., 2010

Sparse variable noisy PCA using l0 penalty.
Proceedings of the IEEE International Conference on Acoustics, 2010

A semiparametric PCA approach to fMRI data analysis.
Proceedings of the IEEE International Conference on Acoustics, 2010

Threshold selection for group sparsity.
Proceedings of the IEEE International Conference on Acoustics, 2010

Testing for independence between a point process and an analog signal.
Proceedings of the IEEE International Conference on Acoustics, 2010

On Random Matrix Theory for stationary processes.
Proceedings of the IEEE International Conference on Acoustics, 2010

Rician distributed functional MRI: Asymptotic power analysis of likelihood ratio tests for activation detection.
Proceedings of the IEEE International Conference on Acoustics, 2010

Sparse signal estimation with nonlinear conjugate gradients.
Proceedings of the IEEE International Conference on Acoustics, 2010

Attitude estimation and Brownian motion on SO(3).
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Second order fluctuations of TD(λ) and a positive real condition.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009
Sparse variable PCA using a steepest descent on a Grassman manifold.
Proceedings of the IEEE International Conference on Acoustics, 2009

On nonlinear state estimation in a Riemannian manifold.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

On the boundedness problem of stochastic adaptive algorithms.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008
Sparse Variable PCA Using Geodesic Steepest Descent.
IEEE Trans. Signal Process., 2008

Dimension Estimation in Noisy PCA With SURE and Random Matrix Theory.
IEEE Trans. Signal Process., 2008

Activation detection in functional MRI based on non-separable space-time noise models.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Rank selection in noist PCA with sure and random matrix theory.
Proceedings of the IEEE International Conference on Acoustics, 2008

A modified clean algorithm does L1-denoising.
Proceedings of the IEEE International Conference on Acoustics, 2008

Space-time separability in functional MRI: Asymptotic power analysis of a new test procedure.
Proceedings of the IEEE International Conference on Acoustics, 2008

On causality and mutual information.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

A Subspace approach to reduced rank time-series models.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

2007
Sparse Variable Principal Component Analysis with Application to Fmri.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

An Em Algorithm for Rician Fmri Activation Detection.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

Testing for Space-Time Separability in Functional Mri.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

A True Spatio-Temporal Test Statistic for Activation Detection in FMRI by Parametric Cepstrum.
Proceedings of the IEEE International Conference on Acoustics, 2007

Likelihood functions for multivariate point processes with coincidences.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

On causality I: Sampling and noise.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

2006
Spatially Local and Temporally Smooth PCA for fMRI.
Proceedings of the International Conference on Image Processing, 2006

Smooth Principal Component Analysis with Application to Functional Magnetic Resonance Imaging.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Mutual Information Between Random Processes from High Dimensional Data.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

A True Spatiotemporal Approach for Activation Detection in Functional MRI.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

High Dimensional Point Process System Identification: PCA and Dynamic Index Models.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006

The minimal signal-to-noise ratio required to stabilize over a noisy channel.
Proceedings of the American Control Conference, 2006

2005
Nonstationary noise estimation in functional MRI.
NeuroImage, 2005

Experimental and modeling investigation of microwave radiometer noise statistics for Earth remote sensing.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2005

Selection of tuning parameters for support vector machines.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004
Spatiotemporal wavelet analysis for functional MRI.
NeuroImage, 2004

Dynamic Analysis of Neural Encoding by Point Process Adaptive Filtering.
Neural Comput., 2004

Dynamic Analyses of Information Encoding in Neural Ensembles.
Neural Comput., 2004

FMRI signal modeling using laguerre polynomials.
Proceedings of the 2004 International Conference on Image Processing, 2004

State estimation from high-dimensional data.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Empirical choice of smoothing parameters in robust optical flow estimation.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Hemodynamic transfer function estimation with Laguerre polynomials and confidence intervals construction, from functional magnetic resonance imaging (fMRI) data.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Measuring Period of Human Biological Clock: Infill Asymptotic Analysis of Harmonic Regression Parameter Estimates.
Proceedings of the Numerical Computer Methods, Part D, 2004

2003
Spatial wavelets for temporally correlated FMRI.
Proceedings of the 2003 International Conference on Image Processing, 2003

Signals in coloured noise: joint non-parametric estimation of signal and of noise spectrum.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Empirical choice of smoothing parameters in optical flow with correlated errors.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

2002
Motion and Ballistocardiogram Artifact Removal for Interleaved Recording of EEG and EPs during MRI.
NeuroImage, 2002

Construction and analysis of non-Gaussian spatial models of neural spiking activity.
Neurocomputing, 2002

A fast automatic stopping criterion for anisotropic diffusion.
Proceedings of the IEEE International Conference on Acoustics, 2002

2001
A Signal Estimation Approach to Functional MRI.
IEEE Trans. Medical Imaging, 2001

Errors-in-variables modeling in optical flow estimation.
IEEE Trans. Image Process., 2001

Locally Regularized Spatiotemporal Modeling and Model Comparison for Functional MRI.
NeuroImage, 2001

Spatio-temporal signal processing for multisubject functional MRI studies.
Proceedings of the IEEE International Conference on Acoustics, 2001

Automatic stopping criterion for anisotropic diffusion.
Proceedings of the IEEE International Conference on Acoustics, 2001

2000
Limits to estimation to stochastic ill-conditioned inverse problems.
IEEE Trans. Inf. Theory, 2000

Erratum to: "Bandwidth Selection for Local Linear Regression: A Simulation Study" 4/1999, pp 515-532.
Comput. Stat., 2000

Selecting the Neighbourhood Size, Shape, Weights and Model Order in Optical Flow Estimation.
Proceedings of the 2000 International Conference on Image Processing, 2000

Total variation denoising in coloured noise.
Proceedings of the IEEE International Conference on Acoustics, 2000

1999
Bandwidth selection for local linear regression: A simulation study.
Comput. Stat., 1999

Model Comparison for Functional MRI.
Proceedings of the 1999 International Conference on Image Processing, 1999

Optical Flow Estimation Using Adaptive Wavelet Zeroing.
Proceedings of the 1999 International Conference on Image Processing, 1999

Selection of regularisation parameters for total variation denoising.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

1998
Performance analysis of adaptive eigenanalysis algorithms.
IEEE Trans. Signal Process., 1998

Regularization for Functional MRI Models.
Proceedings of the 1998 IEEE International Conference on Image Processing, 1998

Choosing the Optimal Neighbourhood Size in Optical Flow Problems with Errors-in-Variables Modelling.
Proceedings of the 1998 IEEE International Conference on Image Processing, 1998

Errors-in-variables modelling in optical flow problems.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

1997
The stability of LMS.
IEEE Trans. Signal Process., 1997

A Signal Processing Approach to Functional MRI for Brain Mapping.
Proceedings of the Proceedings 1997 International Conference on Image Processing, 1997

A Data-Driven Method for Choosing Smoothing Parameters in Optical Flow Problems.
Proceedings of the Proceedings 1997 International Conference on Image Processing, 1997

1996
A sure-fired way to choose smoothing parameters in ill-conditioned inverse problems.
Proceedings of the Proceedings 1996 International Conference on Image Processing, 1996

1995
Regularisation of the limited data computed tomography problem via the boundary element method.
Proceedings of the Proceedings 1995 International Conference on Image Processing, 1995

Exact Tikhonov regularisation for the limited data computed tomography problem.
Proceedings of the 1995 International Conference on Acoustics, 1995

1994
On the stability of slowly time-varying linear systems.
Math. Control. Signals Syst., 1994

Stochastic averaging analysis of a steepest-descent-type adaptive time-delay estimation algorithm.
Math. Control. Signals Syst., 1994

1992
The error variance of LMS with time-varying weights.
IEEE Trans. Signal Process., 1992

1991
Effects of attenuation factor on adaptive time delay estimation.
Proceedings of the 1991 International Conference on Acoustics, 1991

1989
The limiting behavior of LMS.
IEEE Trans. Acoust. Speech Signal Process., 1989

1986
Modeling of two-dimensional random fields by parametric cepstrum.
IEEE Trans. Inf. Theory, 1986


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