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Juan Cerviño
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2020 – today
- 2024
- [i16]Zhiyang Wang, Juan Cerviño, Alejandro Ribeiro:
A Manifold Perspective on the Statistical Generalization of Graph Neural Networks. CoRR abs/2406.05225 (2024) - [i15]Juan Cerviño, Md Asadullah Turja, Hesham Mostafa, Nageen Himayat, Alejandro Ribeiro:
Distributed Training of Large Graph Neural Networks with Variable Communication Rates. CoRR abs/2406.17611 (2024) - [i14]Zhiyang Wang, Juan Cerviño, Alejandro Ribeiro:
Generalization of Graph Neural Networks is Robust to Model Mismatch. CoRR abs/2408.13878 (2024) - [i13]Zhiyang Wang, Juan Cerviño, Alejandro Ribeiro:
Generalization of Geometric Graph Neural Networks. CoRR abs/2409.05191 (2024) - [i12]Juan Cerviño, Saurav Agarwal, Vijay Kumar, Alejandro Ribeiro:
Constrained Learning for Decentralized Multi-Objective Coverage Control. CoRR abs/2409.11311 (2024) - 2023
- [j2]Juan Cerviño
, Luana Ruiz
Learning by Transference: Training Graph Neural Networks on Growing Graphs. IEEE Trans. Signal Process. 71: 233-247 (2023) - [c8]Juan Cerviño, Juan Andrés Bazerque, Miguel Calvo-Fullana, Alejandro Ribeiro:
Multi-Task Bias-Variance Trade-Off Through Functional Constraints. ICASSP 2023: 1-5 - [c7]Juan Cerviño, Luana Ruiz, Alejandro Ribeiro:
Training Graph Neural Networks on Growing Stochastic Graphs. ICASSP 2023: 1-5 - [c6]Juan Cerviño, Luiz F. O. Chamon, Benjamin David Haeffele, René Vidal, Alejandro Ribeiro:
Learning Globally Smooth Functions on Manifolds. ICML 2023: 3815-3854 - [c5]Shubhankar Prashant Patankar, Mathieu Ouellet, Juan Cerviño, Alejandro Ribeiro, Kieran A. Murphy, Danielle S. Bassett:
Intrinsically Motivated Graph Exploration Using Network Theories of Human Curiosity. LoG 2023: 23 - [i11]Shubhankar P. Patankar, Mathieu Ouellet, Juan Cerviño, Alejandro Ribeiro, Kieran A. Murphy, Dani S. Bassett:
Intrinsically motivated graph exploration using network theories of human curiosity. CoRR abs/2307.04962 (2023) - [i10]Hesham Mostafa, Adam Grabowski, Md Asadullah Turja, Juan Cerviño, Alejandro Ribeiro, Nageen Himayat:
FastSample: Accelerating Distributed Graph Neural Network Training for Billion-Scale Graphs. CoRR abs/2311.17847 (2023) - 2022
- [c4]Juan Cerviño, Luana Ruiz, Alejandro Ribeiro
Training Stable Graph Neural Networks Through Constrained Learning. ICASSP 2022: 4223-4227 - [c3]Zebang Shen, Juan Cerviño, Hamed Hassani, Alejandro Ribeiro:
An Agnostic Approach to Federated Learning with Class Imbalance. ICLR 2022 - [i9]Juan Cerviño, Navid Naderializadeh, Alejandro Ribeiro:
Federated Representation Learning via Maximal Coding Rate Reduction. CoRR abs/2210.00299 (2022) - [i8]Juan Cerviño, Luiz F. O. Chamon, Benjamin D. Haeffele, René Vidal, Alejandro Ribeiro:
Learning Globally Smooth Functions on Manifolds. CoRR abs/2210.00301 (2022) - [i7]Juan Cerviño, Luana Ruiz, Alejandro Ribeiro:
Training Graph Neural Networks on Growing Stochastic Graphs. CoRR abs/2210.15567 (2022) - [i6]Juan Cerviño, Juan Andrés Bazerque, Miguel Calvo-Fullana, Alejandro Ribeiro:
Multi-task Bias-Variance Trade-off Through Functional Constraints. CoRR abs/2210.15573 (2022) - 2021
- [j1]Juan Cerviño
Multi-Task Reinforcement Learning in Reproducing Kernel Hilbert Spaces via Cross-Learning. IEEE Trans. Signal Process. 69: 5947-5962 (2021) - [c2]Juan Cerviño, Juan Andrés Bazerque
Multi-task Supervised Learning via Cross-learning. EUSIPCO 2021: 1381-1385 - [i5]Juan Cerviño, Luana Ruiz, Alejandro Ribeiro:
Increase and Conquer: Training Graph Neural Networks on Growing Graphs. CoRR abs/2106.03693 (2021) - [i4]Juan Cerviño, Luana Ruiz, Alejandro Ribeiro:
Training Stable Graph Neural Networks Through Constrained Learning. CoRR abs/2110.03576 (2021) - 2020
- [i3]Juan Cerviño, Juan Andrés Bazerque, Miguel Calvo-Fullana, Alejandro Ribeiro:
Multi-task Reinforcement Learning in Reproducing Kernel Hilbert Spaces via Cross-learning. CoRR abs/2008.11895 (2020) - [i2]Juan Cerviño, Harshat Kumar, Alejandro Ribeiro:
Parameter Critic: a Model Free Variance Reduction Method Through Imperishable Samples. CoRR abs/2009.13668 (2020) - [i1]Juan Cerviño, Juan Andrés Bazerque, Miguel Calvo-Fullana, Alejandro Ribeiro:
Multi-task Supervised Learning via Cross-learning. CoRR abs/2010.12993 (2020)
2010 – 2019
- 2019
- [c1]Juan Cerviño, Juan Andrés Bazerque
Meta-Learning through Coupled Optimization in Reproducing Kernel Hilbert Spaces. ACC 2019: 4840-4846
Coauthor Index
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