Hi! I'm Mario
- I'm a 4th-year PhD student working with
- Prof. Geert Leus at the CAS Group in TUDelft.
I work in the field of signal processing and my main interests lay in numerical linear algebra, array processing, detection theory, submodular optimization, kernel methods, graph signal processing and large-scale networks.
Before starting my PhD, I spent a great year in Denmark doing room geometry estimation with Richard Heusdens and Martin Bo Møller at Bang & Olufsen. As intern, I worked on Information Geometry with Radmila Pribic at Thales . Not long ago, I was an undergraduate at University of Guadalajara, Mexico.
If you are interested, here is my old website.
Updates
- [01/2021] Our work Graph Signal Processing: Introduction and Connections to Distributed Optimization and Deep Learning will be given as a lecture at DeepLearn 2020.
- [06/2020] Our work "Submodularity in Action: From Machine Learning to Signal Processing Applications" will appear in the Signal Processing Magazine.
- [06/2020] Four papers about our work in system identification, privacy-preserving processing over networks, networked data and ultrasound are accepted in EUSIPCO 2020.
- [05/2020] Four papers about our work in networked data analysis, optimization and localization will be presented in ICASSP 2020.
- [05/2020] Our tutorial "Graph Filters with Applications to Distributed Optimization and Neural Networks" will be given in ICASSP 2020.[Slides]
- [12/2019] Our paper "Learning Sparse Hypergraphs from Dyadic Relational Data" will be presented in CAMSAP 2019
- [11/2019] Our papers "Sparse Control for Multi-Agent Consensus in Random Time-Varying Networks" and "On distributed consensus by a cascade of generalized graph filters" will be presented in Asilomar 2019.
Preprints / Tech Reports
-
X2. How Does Momentum Help Frank Wolfe?
Bingcong Li, Mario Coutino, et al.; In preparation, [Preprint] -
X1. Revisiting Matching Pursuit: Beyond Approximate Submodularity
Ehsan Tohidi, Mario Coutino, et al.; In preparation, [Preprint] -
J9. Node-Adaptive Regularization for Graph Signal Reconstruction
Maosheng Yang, Mario Coutino, et al.; In preparation, [Preprint] -
J7. Cascaded Graph Filters
Mario Coutino, et al.; In preparation, [Preprint] -
J6. Fast Graph Spectral Approximation of Structured Graphs and Applications
Mario Coutino, et al.; In preparation, [Preprint] -
Identification of Room Boundaries for Sound Field Estimation
Mario Coutino; Ms. Thesis, [Paper] [ppt]
Journals
-
M1. Submodularity in Action: From Machine Learning to Signal Processing Applications
Ehsan Tohidi, Mario Coutino, et al.; IEEE Signal Processing Magazine (Submitted), [Preprint] -
J8. Towards a general framework for fast and feasible k-space trajectories for MRI based on projection methods
Shubham Sharma, Mario Coutino, et al.; Elsevier Magnetic Resonance Imaging (Submitted), [Preprint] -
J6. Momentum Variants of Frank Wolfe Method
Bingcong Li, Mario Coutino, et al.; IEEE. Trans. on Signal Processing (Submitted), [Preprint] -
J5. State-Space Network Topology Identification from Partial Observations
Mario Coutino, et al.; IEEE. Trans. on Signal and Information Processing over Networks (Accepted), [Preprint] -
J4. Sparse Sampling for Inverse Problems with Tensors
Guillermo Ortiz-Jiménez, Mario Coutino, et al.; IEEE Trans. on Signal Processing (Accepted), May 2019, [Preprint] -
J3. Advances in Distributed Graph Filters
Mario Coutino, Elvin Isufi, Geert Leus; IEEE Trans. on Signal Processing, (Accepted), May 2019, [Preprint] -
J2. Sparse Antenna and Pulse Placement for Colocated MIMO Radar
Ehsan Tohidi, Mario Coutino, et al.; IEEE Trans. on Signal Processing, November 2018, [Paper] -
J1. Submodular Sparse Sensing for Gaussian Detection With Correlated Observations
Mario Coutino S.P. Chepuri, Geert Leus; IEEE Trans. on Sig. Proc. August 2018, [Preprint] [Paper]
Conferences
-
c27. Blind Calibration for Arrays with an Aberration Layer in Ultrasound Imaging
Pim v.d. Meulen, Mario Coutino, et al.; EUSIPCO 2020, [Paper] -
c26. State-Space based Network Topology Identification
Mario Coutino, et al.; EUSIPCO 2020, [Paper] -
c25. Privacy-Preserving Distributed Graph Filtering
Qiongxiu Li, Mario Coutino, et al.; EUSIPCO 2020, [Paper] -
c24. Node Varying Regularization for Graph Signals
Maosheng Yang, Mario Coutino, et al.; EUSIPCO 2020, [Paper] -
c23. Revisit of estimate sequence for accelerated gradient method
Bincong Li, Mario Coutino, et al.; ICASSP 2020, [Paper] -
c22. Self-driven graph Volterra models for higher-order link prediction
Mario Coutino, et al.; ICASSP 2020, [Paper] -
c21. Joint blind calibration and time-delay estimation for multiband ranging
Tarik Kazaz, Mario Coutino, et al.; ICASSP 2020, [Paper] -
c20. Learning connectivity and high-order interactions in Radial distribution grids
Qiuling Yang, Mario Coutino, et al.; ICASSP 2020, [Paper] -
c19. Learning Sparse Hypergraphs from Dyadic Relational Data
(Invited paper)
Mario Coutino, S.P. Chepuri, Geert Leus; CAMSAP 2019, [Paper] -
c18. Sparse Control for Multi-Agent Consensus in Random Time-Varying Networks
(Invited paper)
Mario Coutino, Elvin Isufi, Alejandro Gama, Alejandro Ribeiro, Geert Leus; Asilomar 2019, [Paper] -
c17. On distributed consensus by a cascade of generalized graph filters
(Invited paper)
Mario Coutino, Geert Leus; Asilomar 2019, [Paper] -
c17. On distributed consensus by a cascade of generalized graph filters
(Invited paper)
Mario Coutino, Geert Leus; Asilomar 2019, [Paper] -
c16. Asynchronous distributed edge-variant graph filters
Mario Coutino, Geert Leus; DSW 2019, [Extended Paper] -
c15. State-Space Based Network Topology Identification
Mario Coutino, Elvin Isufi, Takanori Maehara, Geert Leus; ITA 2019, [Paper] -
c14. Sampling and Reconstruction of Signals on Product Graphs
Guillermo Ortiz-Jimenez, Mario Coutino, et al.; GlobalSIP 2018, [Paper] -
c13. On The Limits of Finite Time Distributed Consensus Through Graph Filters (Invited paper)
Mario Coutino, Elvin Isufi, Geert Leus; Asilomar 2018, [Paper]
c12. Joint Ranging and Clock Synchronization for a Dense Heterogeneous IoT Networks -
c11. Sparsest Network Support Estimation: A Submodular Approach
Mario Coutino, S.P. Chepuri, Geert Leus; DSW 2018, [Paper][Code] -
c10. Subset Selection for Kernel-based Signal Reconstruction
Mario Coutino, S.P. Chepuri, Geert Leus; ICASSP 2018, [Paper][Code][ppt] -
c9. Distributed Analytical Graph Identification
S.P. Chepuri, Mario Coutino, Antonio Garcia Marques, Geert Leus; ICASSP 2018, [Paper][Code] -
c8. Distributed Edge-Variant Graph Filters (Best Paper Award)
Mario Coutino, Elvin Isufi, Geert Leus; CAMSAP 2017, [Paper][ppt] -
c7. Sparse Sensing for Composite Matched Subspace Detection
Mario Coutino, S.P. Chepuri, Geert Leus; CAMSAP 2017, [Paper][ppt] -
c6. DOA Estimation and Beamforming Using Spatially Under-Sampled AVS Arrays
Krishnaprasad Nambur, Mario Coutino, S.P. Chepuri, Geert Leus; CAMSAP 2017, [Paper][Poster] -
c5. Near-Optimal Sensor Selection for MVDR Beamformer
Mario Coutino, S.P. Chepuri, Geert Leus; EUSIPCO 2017, [Paper][ppt] -
c4. Greedy alternative for room geometry estimation from acoustic echoes: A subspace-based approach
Mario Coutino, Martin Møller, Jasper Nielsen, Richard Heusdens; ICASSP 2017, [Paper] [poster] -
c3. Direction of arrival estimation based on information geometry
Mario Coutino, Radmila Pribić, Geert Leus; ICASSP 2016, [Paper] [ppt] -
c2. Bound on the estimation grid size for sparse reconstruction in direction of arrival estimation
Mario Coutino, Radmila Pribić, Geert Leus; SSP 2016, [Paper] -
c1. Stochastic resolution analysis of co-prime arrays in radar
Radmila Pribić, Mario Coutino, Geert Leus; SSP 2016, [Paper]
Tarik Kazaz, Mario Coutino, et al.; Asilomar 2018, [Paper]
Writing
On my free time, I enjoy writing. I'm not particularly good, but I keep on doing it. I maintain a site, but most of the content is not public -so it might look outdated. I write mostly snippets, hope you find them interesting.
"Every new love[windLair]
comes as gift
wrapped in promises
we wish we can keep"
@fftmod
Contact Me
mariocoutino at outlook dot com