Marcelo Fiori I am an Assistant Professor with the Instituto de Matemática y Estadística Rafael Laguardia (IMERL), Facultad de Ingeniería, Universidad de la República. I received the M.Sc. and Ph.D. degrees in 2011 and 2015, under the supervision of Prof. Pablo Musé and Prof. Guillermo Sapiro.

Marcelo Fiori
January, 2025

Interests

My main research interests are in spectral graph theory and machine learning with graphs.

• Graph matching; graph signal processing.

• Sparse modeling from high dimensional data; convex and non-convex optimization.

Publications

Journal papers

1. On the logarithmic energy of solutions to the polynomial eigenvalue problem. Diego Armentano, Federico Carrasco, Marcelo Fiori. Constructive Approximation (accepted), 2025. link arxiv

2. Some families of digraphs determined by the complementarity spectrum. Diego Bravo, Florencia Cubría, Marcelo Fiori, Gustavo Rama. Linear Algebra and Its Applications, 2025. link arxiv

3. Gradient-Based Spectral Embeddings of Random Dot Product Graphs. Marcelo Fiori, Bernardo Marenco, Federico Larroca, Paola Bermolen, Gonzalo Mateos. IEEE Transactions on Signal and Information Processing over Networks, 2023. link arxiv code

4. Characterization of digraphs with three complementarity eigenvalues. Diego Bravo, Florencia Cubría, Marcelo Fiori, Vilmar Trevisan. Journal of Algebraic Combinatorics, 2023. link arxiv

5. Decoupling between SARS-CoV-2 transmissibility and population mobility associated with increasing immunity from vaccination and infection in South America. Marcelo Fiori, Gonzalo Bello, Nicolás Wschebor, Federico Lecumberry, Andrés Ferragut, Ernesto Mordecki. Scientific Reports, 2022. link pdf code

6. Online change-point detection for weighted and directed random dot product graphs. Bernardo Marenco, Paola Bermolen, Marcelo Fiori, Federico Larroca, Gonzalo Mateos. IEEE Transactions on Signal and Information Processing over Networks, 2022. link arxiv code

7. Complementary spectrum of digraphs. Diego Bravo, Florencia Cubría, Marcelo Fiori, Vilmar Trevisan. Linear Algebra and Its Applications, 2021. link arxiv

8. Large-Scale 802.11 Wireless Networks Data Analysis Based on Graph Clustering Germán Capdehourat, Paola Bermolen, Marcelo Fiori, Nicolás Frevenza, Federico Larroca, Gastón Morales, Claudina Rattaro, Gianina Zunino. Wireless Personal Communications, 2021. pdf

9. On spectral properties for graph matching and graph isomorphism problems. Marcelo Fiori and Guillermo Sapiro. Information and Inference (2015) 4 (1): 63-76 imaiai arxiv

10. Graph Matching: Relax at Your Own Risk. Vince Lyzinski, Donniell Fishkind, Marcelo Fiori, Joshua T. Vogelstein, Carey E. Priebe, and Guillermo Sapiro. IEEE Transactions on Pattern Analysis and Machine Intelligence Vol. 38, 1, pp. 60-73, 2016. arxiv

11. A Complete System for Candidate Polyps Detection in Virtual Colonoscopy. Marcelo Fiori, Pablo Musé, Guillermo Sapiro. International Journal of Pattern Recognition and Artificial Intelligence Vol. 28, No. 07, 2014. pdf

12. A new framework for optimal classifier design. Matías Di Martino, Guzman Hernández, Marcelo Fiori, Alicia Fernández. Pattern Recognition 46 (8), pp. 2249-2255, 2013. pdf

Conference papers

1. A Random Dot Product Graph Model for Weighted and Directed Networks. Bernardo Marenco, Paola Bermolen, Marcelo Fiori, Federico Larroca, Gonzalo Mateos Proc. of 58th Asilomar Conf. on Signals, Systems, and Computers, Pacific Grove, CA, October 27-30, 2024. pdf

2. Tracking the adjacency spectral embedding for streaming graphs. Federico Larroca, Paola Bermolen, Marcelo Fiori, Bernardo Marenco, Gonzalo Mateos Proc. of 56th Asilomar Conf. on Signals, Systems, and Computers, Pacific Grove, CA, October 30-November 2, 2022. slides, poster pdf

3. Algorithmic Advances for the Adjacency Spectral Embedding. Marcelo Fiori, Bernardo Marenco, Federico Larroca, Paola Bermolen, Gonzalo Mateos. European Signal Processing Conference, EUSIPCO 2022. pdf

4. Assessing the impact of mobility reduction in the second wave of COVID-19, Álvaro Cabana, Lorena Etcheverry, María Inés Fariello, Paola Bermolen, Marcelo Fiori. XLVII Latin American Computing Conference (CLEI), 2021. link

5. Online Change Point Detection for Random Dot Product Graphs. Bernardo Marenco, Paola Bermolen, Marcelo Fiori, Federico Larroca, Gonzalo Mateos. Proc. of 55th Asilomar Conf. on Signals, Systems, and Computers, 2021. link pdf

6. Change Point Detection in Weighted and Directed Random Dot Product Graphs. Federico Larroca, Paola Bermolen, Marcelo Fiori, Gonzalo Mateos. European Signal Processing Conference, EUSIPCO 2021. pdf

7. Re-Weighted ℓ1 Algorithms within the Lagrange Duality Framework: Bringing Interpretability to Weights. Matías Valdés, Marcelo Fiori. IBPRIA, 2019. pdf

8. Tell me where you are and I tell you where you are going: estimation of dynamic mobility graphs. Marcelo Fiori, Pablo Musé, Mariano Tepper, and Guillermo Sapiro. SAM, 2016. pdf

9. An optimal multiclass classifier design. Marcelo Fiori, Matías Di Martino, Alicia Fernández. 23rd International Conference on Pattern Recognition (ICPR), pp. 480-485, 2016. pdf

10. Questionnaire simplification for fast risk analysis of children's mental health. Kimberly Carpenter, Pablo Sprechmann, Marcelo Fiori, Robert Calderbank, Helen Egger, Guillermo Sapiro. ICASSP 2014 . pdf

11. Robust Multimodal Graph Matching: Sparse Coding Meets Graph Matching. Marcelo Fiori, Pablo Sprechmann, Joshua Vogelstein, Pablo Musé, Guillermo Sapiro. Advances in Neural Information Processing Systems 26 (NIPS 2013). pdf and Matlab code (not optimized, provided for reproducible results purposes)

12. Polyps Flagging in Virtual Colonoscopy. Marcelo Fiori, Pablo Musé, Guillermo Sapiro. CIARP 2013. pdf

13. Multimodal Graphical Models via Group Lasso. Marcelo Fiori, Pablo Musé, Ahmad Hariri, Guillermo Sapiro. Signal Processing with Adaptive Sparse Structured Representations (SPARS), 2013. pdf

14. Topology Constraints in Graphical Models. Marcelo Fiori, Pablo Musé, Guillermo Sapiro. Advances in Neural Information Processing Systems 25 (NIPS 2012), pp. 800-808. pdf

15. Automatic colon polyp flagging via geometric and texture features. Marcelo Fiori, Pablo Musé, Sergio Aguirre, Guillermo Sapiro. Engineering in Medicine and Biology Society (EMBC), International Conference of the IEEE, pp. 3170-3173, 2010. pdf

16. A new user behaviour model and QoE determination on short-message-service. Marcelo Fiori, Julio Fitipaldo. Proceedings of the 5th International Latin American Networking Conference, pp. 95-101, 2009.

Math and science communication

• Documentary Film: "IMAGINARY Uruguay: A Mathematical Journey"

• IMAGINARY Conference 2018

• IMAGINARY Uruguay

• IMAGINARY - Carmelo Video. 2016.

• Taller en ANTEL: IMAGINARY - Matemática para tocar (video en Vera+). 2018.

• IMAGINARY - Avanza (expo en ANTEL) (video en Vera). 2019.

• Artículo en La Diaria: ¿Eso también es matemática?. 2016.

• Sobre Hombros de Gigantes.

Theses

• Graph inference and graph matching problems : Theory and algorithms. PhD Thesis, Universidad de la República, Uruguay. Advisors: Pablo Musé and Guillermo Sapiro. May 2015. pdf

• Segmentation and polyp detection in virtual colonoscopy: a complete system for computer aided diagnosis. Master Thesis, Universidad de la República, Uruguay. Advisors: Pablo Musé and Guillermo Sapiro. July 2011. pdf

Other documents (in spanish)

• Notas del mini-curso de Optimización. 6to Coloquio Uruguayo de Matemática (2017). pdf

• Notas del curso Cálculo diferencial e integral en varias variables (2019). pdf

Music

• Cuarteto Colibriyo

Contact

  mfiori@fing.edu.uy
 Google scholar
 @marfiori
Tel: (+598) 2714 2714 int. 19125 (Office)

2025.