JUAN CERVINO




Postdoctoral Researcher

Massachusetts Institute of Technology

jcervino@mit.edu

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About me

I am a postdoctoral researcher at MIT, hosted by Navid Azizan. Previously, I was a PhD student in Electrical and System Engineering (ESE) at the University of Pennsylvania, where I was fortunate to be advised by Alejandro Ribeiro. I am interested in seeing machine learning through the lens of optimization theory. My interests include machine learning, signal processing, optimization, and control. Recently, I was named a rising star in signal processing at ICASSP 2023. In summer 2023, I interned on Google's Geometric AI team led by Ameesh Makadia.

I was born in Montevideo, Uruguay, where I graduated from Universidad de la República in 2018 with a degree in Electrical Engineering. I have over two years of industry experience in implantable medical devices, industrial control, and robotics. I completed my undergraduate internship in implantable medical devices at Integer.


Bio

Juan is a postdoctoral researcher in the Laboratory for Information and Decision Systems (LIDS) at the Massachusetts Institute of Technology, hosted by Professor Navid Azizan. Previously, he was a PhD student in the Department of Electrical and Systems Engineering (ESE) at the University of Pennsylvania, supervised by Professor Alejandro Ribeiro. In 2023, Juan was named a Rising Star in Signal Processing. He received his B.Sc. degree in Electrical Engineering from the Universidad de la República Oriental del Uruguay, Montevideo, in 2018. His current research interests include machine learning, signal processing, optimization, and control.


Research

2025

Constrained Learning for Decentralized Multi-Objective Coverage Control
Juan Cervino, Saurav Agarwal, Vijay Kumar, Alejandro Ribeiro
To appear ICRA 2025.[PDF]


Generalization of Graph Neural Networks is Robust to Model Mismatch
Zhiyang Wang, Juan Cervino, Alejandro Ribeiro
To appear AAAI 2025.[PDF]


2024

A Manifold Perspective on the Statistical Generalization of Graph Neural Networks
Zhiyang Wang, Juan Cervino, Alejandro Ribeiro
under submission.[PDF]


Generalization of Geometric Graph Neural Networks
Zhiyang Wang, Juan Cervino, Alejandro Ribeiro
ASILOMAR 2024.[PDF]


Generalization of Geometric Graph Neural Networks
Zhiyang Wang, Juan Cervino, Alejandro Ribeiro
under submission to IEEE TSP.[PDF]


Distributed Training of Large Graph Neural Networks with Variable Communication Rates
Juan Cervino, Hesham Mostafa, Adam Grabowski, Md Asadullah Turja, Nageen Himayat, Alejandro Ribeiro
under submission to IEEE TSPIN.[PDF]


FastSample: Accelerating Distributed Graph Neural Network Training for Billion-Scale Graphs
Hesham Mostafa, Adam Grabowski, Md Asadullah Turja, Juan Cervino, Alejandro Ribeiro, Nageen Himayat
presented at DAC 2024.[PDF]


2023

Learning Globally Smooth Functions on Manifolds
Juan Cervino, Luiz F. O. Chamon, Benjamin D Haeffele, Rene Vidal, Alejandro Ribeiro
presented at ICML 2023.[PDF]


Training Graph Neural Networks on Growing Stochastic Graphs
Juan Cervino, Luana Ruiz, Alejandro Ribeiro
presented at ICASSP 2023.[PDF]


Multi-task Bias-Variance Trade-off Through Functional Constraints
Juan Cervino, Juan Andres Bazerque, Miguel Calvo-Fullana, Alejandro Ribeiro
presented at ICASSP 2023.[PDF]


Learning by Transference: Training Graph Neural Networks on Growing Graphs
Juan Cervino, Luana Ruiz, Alejandro Ribeiro
published at IEEE Transactions on Signal Processing.[PDF]


Intrinsically motivated graph exploration using network theories of human curiosity
Shubhankar P. Patankar, Mathieu Ouellet, Juan Cervino, Alejandro Ribeiro, Kieran A. Murphy, Dani S. Bassett
presented at Learning on Graphs Conference 2023.[PDF]


2022

An Agnostic Approach to Federated Learning with Class Imbalance
Zebang Shen, Juan Cervino, Hamed Hassani, Alejandro Ribeiro
presented at ICLR 2022.[PDF] [Code]


Federated Representation Learning via Maximal Coding Rate Reduction
Juan Cervino, Navid NaderiAlizadeh, Alejandro Ribeiro
available online.[PDF] [Code]


Training stable graph neural networks through constrained learning
Juan Cervino, Luana Ruiz, Alejandro Ribeiro
presented at ICASSP 2022.[PDF] [Code]


2021

Multi-task Reinforcement Learning in Reproducing Kernel Hilbert Spaces via Cross-learning
Juan Cervino, Juan Andres Bazerque, Miguel Calvo-Fullana, Alejandro Ribeiro
published at IEEE Transactions on Signal Processing.[PDF]


2020

Multi-task Supervised Learning via Cross-learning
Juan Cervino, Juan Andres Bazerque, Miguel Calvo-Fullana, Alejandro Ribeiro
presented at the European Signal Processing Conference (EUSIPCO).[PDF]


Parameter Critic: a Model Free Variance Reduction Method Through Imperishable Samples
Juan Cervino, Harshat Kumar, Alejandro Ribeiro
available online.[PDF]


2019

Meta-learning through coupled optimization in reproducing kernel hilbert spaces
Juan Cervino, Juan Andres Bazerque, Miguel Calvo-Fullana, Alejandro Ribeiro
presented at the American Control Conference (ACC).[PDF]



Personal

On a personal note, I am a stereotypical uruguayan: I drink mate every day, I play soccer every week, and I take the opposite side on every discussion. I was born and raised in the beautiful city of Montevideo, a couple of blocks away from the sign that can be seen in the image below. One of my favourite books is the novel 'La Tregua' from Mario Benedetti, which narrates a 'truce' in the tough life of another stereotypical uruguayan. Among my favourite painters, there is Jose Cuneo who painted bucholic moons, and Jose Gurvich whose museum in Montevideo is a must-visit. The incredibly talented Jorge Drexler, not only has wonderful songs, amazing lyrics, but also a very interesting TEDx about 'Poetry, music and identity'.

Montevideo

I lived in the beatiful city of Philadelphia for 5 years. This is one of my favourite views of the city, taken from the Springarden Bridge.

Montevideo

I now live in Boston, a historical city with a magical river that dissects it. This picture was taken from the MIT boathouse, one of my favourite spots in the city.

Montevideo

Miscellaneous

I once wrote an op-ed on a Uruguayan newpaper (La Diaria) in regards to a tax increase: Es una suba de impuestos de aca a Delaware.