Follow
Juan Cervino
Title
Cited by
Cited by
Year
An agnostic approach to federated learning with class imbalance
Z Shen, J Cervino, H Hassani, A Ribeiro
International Conference on Learning Representations, 2021
452021
Learning by Transference: Training Graph Neural Networks on Growing Graphs
J Cervino, L Ruiz, A Ribeiro
IEEE Transactions on Signal Processing 71, 233-247, 2023
10*2023
Training stable graph neural networks through constrained learning
J Cerviņo, L Ruiz, A Ribeiro
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
82022
Multi-task Reinforcement Learning in Reproducing Kernel Hilbert Spaces via Cross-learning
J Cervino, JA Bazerque, M Calvo-Fullana, A Ribeiro
IEEE Transactions on Signal Processing 69, 5947 - 5962, 2021
72021
Meta-learning through coupled optimization in reproducing kernel hilbert spaces
J Cerviņo, JA Bazerque, M Calvo-Fullana, A Ribeiro
2019 American Control Conference (ACC), 4840-4846, 2019
52019
Learning globally smooth functions on manifolds
J Cervino, LFO Chamon, BD Haeffele, R Vidal, A Ribeiro
International Conference on Machine Learning, 3815-3854, 2023
22023
Training graph neural networks on growing stochastic graphs
J Cerviņo, L Ruiz, A Ribeiro
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
22023
Multi-task Supervised Learning via Cross-learning
J Cervino, JA Bazerque, M Calvo-Fullana, A Ribeiro
2021 29th European Signal Processing Conference (EUSIPCO), 2020
12020
FastSample: Accelerating Distributed Graph Neural Network Training for Billion-Scale Graphs
H Mostafa, A Grabowski, MA Turja, J Cervino, A Ribeiro, N Himayat
arXiv preprint arXiv:2311.17847, 2023
2023
Intrinsically motivated graph exploration using network theories of human curiosity
SP Patankar, M Ouellet, J Cervino, A Ribeiro, KA Murphy, DS Bassett
Learning on Graphs Conference 2023, 2023
2023
Multi-Task Bias-Variance Trade-Off Through Functional Constraints
J Cerviņo, JA Bazerque, M Calvo-Fullana, A Ribeiro
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
2023
Federated Representation Learning via Maximal Coding Rate Reduction
J Cervino, N NaderiAlizadeh, A Ribeiro
arXiv preprint arXiv:2210.00299, 2022
2022
Parameter Critic: a Model Free Variance Reduction Method Through Imperishable Samples
J Cervino, H Kumar, A Ribeiro
arXiv preprint arXiv:2009.13668, 2020
2020
The Minkowski-Siegel Formula for quadratic bundles on curves
JM Cerviņo
Göttingen, Univ., Diss., 2006, 2007
2007
The system can't perform the operation now. Try again later.
Articles 1–14