Select Publications
Conference Papers
, 2023, 'Modelling Inhibitory Effects with a Nonlinear Hawkes Model', in Proceedings of the IEEE Conference on Decision and Control, pp. 2458 - 2463, http://dx.doi.org/10.1109/CDC49753.2023.10383390
, 2023, 'On Tracking a Stochastically Time-Varying Subspace', in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, http://dx.doi.org/10.1109/ICASSP49357.2023.10095648
, 2023, 'State Space Subspace Noise Modeling with Guaranteed Stability', in Proceedings of the IEEE Conference on Decision and Control, pp. 4203 - 4208, http://dx.doi.org/10.1109/CDC49753.2023.10383942
, 2022, 'CRAMER-RAO BOUND FOR THE TIME-VARYING POISSON', in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, Institute of Electrical and Electronics Engineers (IEEE), SINGAPORE, Singapore, pp. 5757 - 5761, presented at
, 2022, 'CONVEX CLUSTERING FOR AUTOCORRELATED TIME SERIES', in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, pp. 3313 - 3317, http://dx.doi.org/10.1109/ICASSP43922.2022.9747143
, 2022, 'Testing for Coincidences between Time Varying Poisson Processes', in Proceedings of the IEEE Conference on Decision and Control, pp. 5381 - 5386, http://dx.doi.org/10.1109/CDC51059.2022.9992679
, 2021, 'Clustering a collection of networks with mixtures of L
, 2021, 'Comparing Vector Networks via Frequency Domain Persistent Homology', in Proceedings of the IEEE Conference on Decision and Control, pp. 126 - 131, http://dx.doi.org/10.1109/CDC45484.2021.9683493
, 2021, 'Convergence of a Tangent Space Numerical Scheme for a Stochastic Differential Equation on a Sphere', in Proceedings of the IEEE Conference on Decision and Control, pp. 5814 - 5819, http://dx.doi.org/10.1109/CDC45484.2021.9683003
, 2021, 'Mutual information flows in a bivariate point process', in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, pp. 1095 - 1099, http://dx.doi.org/10.1109/ICASSP39728.2021.9414484
, 2021, 'Numerical solution of stochastic differential equations in stiefel manifolds via tangent space parametrization', in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, pp. 5125 - 5129, http://dx.doi.org/10.1109/ICASSP39728.2021.9413353
, 2021, 'On the Error Rate for Classifying Point Processes', in Proceedings of the IEEE Conference on Decision and Control, pp. 120 - 125, http://dx.doi.org/10.1109/CDC45484.2021.9683270
, 2021, 'Partial Trajectory Mutual Information Flow in a Small Point Process Network', in Proceedings of the IEEE Conference on Decision and Control, pp. 4448 - 4453, http://dx.doi.org/10.1109/CDC45484.2021.9683004
, 2020, 'An em Algorithm for the Time-Variant Vector Hawkes Process', in Proceedings of the IEEE Conference on Decision and Control, pp. 1726 - 1731, http://dx.doi.org/10.1109/CDC42340.2020.9304188
, 2020, 'On the Cramer-Rao Bound in Riemannian Manifolds with Application to SO(3)', in Proceedings of the IEEE Conference on Decision and Control, pp. 4117 - 4122, http://dx.doi.org/10.1109/CDC42340.2020.9304404
, 2020, 'Particle Filtering on the Stiefel Manifold with Optimal Transport', Virtual, presented at
, 2020, 'Fast Block-Sparse Estimation for Vector Networks', in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, pp. 5510 - 5514, http://dx.doi.org/10.1109/ICASSP40776.2020.9052959
, 2020, 'Large-Scale Time Series Clustering with k-ARs', in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, pp. 6044 - 6048, http://dx.doi.org/10.1109/ICASSP40776.2020.9053016
, 2020, 'Lie Group State Estimation via Optimal Transport', in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, pp. 5625 - 5629, http://dx.doi.org/10.1109/ICASSP40776.2020.9053636
, 2019, 'Numerical Methods for Stochastic Differential Equations in Stiefel Manifolds via the Cayley Transform', in 2019 IEEE 58th Conference on Decision and Control (CDC), IEEE, pp. 3303 - 3038, presented at
, 2019, 'Adaptive Estimation of a Vector Point Process Mode', in Proceedings of the IEEE Conference on Decision and Control, pp. 2904 - 2909, http://dx.doi.org/10.1109/CDC40024.2019.9029642
, 2019, 'Ito, Stratonovich and Geometry', in Proceedings of the IEEE Conference on Decision and Control, pp. 3026 - 3032, http://dx.doi.org/10.1109/CDC40024.2019.9029761
, 2019, 'On Random Matrix Theory and Autoregressive Modeling', in Proceedings of the IEEE Conference on Decision and Control, pp. 4527 - 4532, http://dx.doi.org/10.1109/CDC40024.2019.9030096
, 2019, 'LMS: Past, Present and Future', in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, pp. 7740 - 7744, http://dx.doi.org/10.1109/ICASSP.2019.8682624
, 2018, 'Non-Negative Online Estimation for Hawkes Process Networks', in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, pp. 6333 - 6337, http://dx.doi.org/10.1109/ICASSP.2018.8462138
, 2018, 'Sparse Topology Identification for Point Process Networks', in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, pp. 2196 - 2200, http://dx.doi.org/10.1109/ICASSP.2018.8462076
, 2018, 'Vector ℓ
, 2018, 'Stochastic Attitude Synchronization', in Proceedings of the IEEE Conference on Decision and Control, pp. 2956 - 2961, http://dx.doi.org/10.1109/CDC.2018.8619633
, 2017, 'Topological distances between brain networks', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Quebec City, QC, Canada, pp. 161 - 170, presented at
, 2017, 'Stability of adaptive network algorithms in multitask environments', in 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017, pp. 1472 - 1477, http://dx.doi.org/10.1109/CDC.2017.8263860
, 2017, 'An engineer's guide to Particle Filtering on the Stiefel manifold', in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, New Orleans, LA, USA, pp. 3834 - 3838, presented at
, 2016, 'Noisy subspace tracking in continuous time', in 2016 IEEE 55th Conference on Decision and Control, CDC 2016, pp. 2994 - 2999, http://dx.doi.org/10.1109/CDC.2016.7798716
, 2016, 'Numerical methods for stochastic differential equations in the Stiefel manifold made simple', in 2016 IEEE 55th Conference on Decision and Control (CDC), IEEE, Las Vegas, USA, pp. 2853 - 2860, presented at
, 2016, 'Local likelihood estimation of time-variant Hawkes models', in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, pp. 4199 - 4203, http://dx.doi.org/10.1109/ICASSP.2016.7472468
, 2016, 'Network comparison with frequency domain persistent homology', in 2016 IEEE 13th International Symposium on Biomedical Imaging, Prague, Czech Republic, presented at
, 2016, 'Distributed dyadic cyclic descent for non-negative matrix factorization', in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, Shanghai, China, pp. 4303 - 4307, presented at
, 2016, 'An engineer's guide to particle filtering on matrix Lie groups', in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, Shanghai, China, pp. 3969 - 3973, presented at
, 2016, 'Large-scale l0 sparse inverse covariance estimation', in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, IEEE, Shanghai, China, pp. 4767 - 4771, presented at
, 2016, 'What to do about noisy consensus?', in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, IEEE, Shanghai, China, pp. 4836 - 4839, presented at
, 2016, 'Network persistent homology explains baseline reliability for resting state fMRI', in New York Academy of Sciences Workshop on Data Science, Learning and Applications to Biomedical and Health Sciences, New York, presented at
, 2015, 'A simple approach to numerical methods for stochastic differential equations in Lie groups', IEEE, Osaka, Japan, pp. 7143 - 7150, presented at
, 2015, 'Distributed topology identification for sparse point process dynamic networks', IEEE, Osaka, Japan, pp. 3379 - 3384, presented at
, 2015, 'Maximum likelihood identification of Hawkes-Pham models with a guaranteed stability condition', IEEE, Osaka, Japan, pp. 3373 - 3378, presented at
, 2015, 'Stability of distributed adaptive algorithms I: Consensus algorithms', IEEE, Osaka, Japan, pp. 7422 - 7427, presented at
, 2015, 'Stochastic system identification in SO(3)', in Proceedings of the IEEE Conference on Decision and Control, IEEE, Osaka, Japan, pp. 1186 - 1191, presented at
, 2015, 'Stability of distributed adaptive algorithms II: Diffusion algorithms', in Proceedings of the IEEE Conference on Decision and Control, Osaka, Japan, pp. 7428 - 7433, presented at
, 2015, 'Distributed topology identification for point process dynamic networks', in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, pp. 3681 - 3685, http://dx.doi.org/10.1109/ICASSP.2015.7178658
, 2015, 'Sparse and low rank decomposition using l
, 2015, 'Time-varying vector Poisson processes with coincidences', in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, pp. 4170 - 4174, http://dx.doi.org/10.1109/ICASSP.2015.7178756
, 2015, 'Tikhonov-Galerkin stochastic system identification in SO(3)', in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, Institute of Electrical and Electronics Engineers (IEEE), Brisbane, AUSTRALIA, pp. 4175 - 4179, presented at