Roberto Pereira

31 papers C 1Misc 2Journal 18Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Degradation of Feature Space in Continual Learning. CoRR Chiara Lanza, Roberto Pereira, Marco Miozzo, Eduard Angelats, Paolo Dini
2025	J	`jnl`	A Primer on Kolmogorov-Arnold Networks (KANs) for Probabilistic Time Series Forecasting. CoRR Cristian J. Vaca-Rubio, Roberto Pereira, Luis Blanco, Engin Zeydan, Màrius Caus
2025	J	`jnl`	Energy-Efficient Federated Learning for AIoT Using Clustering Methods. IEEE Internet Things J. Roberto Pereira, Fernanda Famá, Charalampos Kalalas, Paolo Dini
2025	J	`jnl`	Energy-Efficient Federated Learning for AIoT using Clustering Methods. CoRR Roberto Pereira, Fernanda Famá, Charalampos Kalalas, Paolo Dini
2025	—	`conf`	F-KANs: Federated Kolmogorov-Arnold Networks. CCNC Engin Zeydan, Cristian J. Vaca-Rubio, Luis Blanco, Roberto Pereira, Màrius Caus, Abdullah Aydeger
2025	J	`jnl`	Fed-KAN: Federated Learning with Kolmogorov-Arnold Networks for Traffic Prediction. CoRR Engin Zeydan, Cristian J. Vaca-Rubio, Luis Blanco, Roberto Pereira, Màrius Caus, Kapal Dev
2025	—	`conf`	Learn More by Using Less: Distributed Learning with Energy-Constrained Devices. PerCom Workshops Roberto Pereira, Cristian J. Vaca-Rubio, Luis Blanco
2025	J	`jnl`	Probabilistic Forecasting for Network Resource Analysis in Integrated Terrestrial and Non-Terrestrial Networks. CoRR Cristian J. Vaca-Rubio, Vaishnavi Kasuluru, Engin Zeydan, Luis Blanco, Roberto Pereira, Màrius Caus, Kapal Dev
2025	J	`jnl`	Probabilistic Forecasting for Network Resource Analysis in Integrated Terrestrial and Non-Terrestrial Networks. IEEE Commun. Stand. Mag. Cristian J. Vaca-Rubio, Vaishnavi Kasuluru, Engin Zeydan, Luis Blanco, Roberto Pereira, Màrius Caus, Kapal Dev
2025	—	`conf`	Self-Supervised Learning at the Edge: The Cost of Labeling. MLSP Roberto Pereira, Fernanda Famá, Asal Rangrazi, Marco Miozzo, Charalampos Kalalas, Paolo Dini
2025	J	`jnl`	Self-Supervised Learning at the Edge: The Cost of Labeling. CoRR Roberto Pereira, Fernanda Famá, Asal Rangrazi, Marco Miozzo, Charalampos Kalalas, Paolo Dini
2024	J	`jnl`	Asymptotics of Distances Between Sample Covariance Matrices. IEEE Trans. Signal Process. Roberto Pereira, Xavier Mestre, David Gregoratti
2024	J	`jnl`	Consistent Estimation of a Class of Distances Between Covariance Matrices. CoRR Roberto Pereira, Xavier Mestre, David Gregoratti
2024	J	`jnl`	Consistent Estimation of a Class of Distances Between Covariance Matrices. IEEE Trans. Inf. Theory Roberto Pereira, Xavier Mestre, David Gregoratti
2024	—	`conf`	Deterministic Equivalent of the Log-Euclidean Distance Between Sample Covariance Matrices. EUSIPCO Xavier Mestre, Roberto Pereira
2024	J	`jnl`	F-KANs: Federated Kolmogorov-Arnold Networks. CoRR Engin Zeydan, Cristian J. Vaca-Rubio, Luis Blanco, Roberto Pereira, Màrius Caus, Abdullah Aydeger
2024	—	`conf`	Kolmogorov-Arnold Networks (KANs) for Time Series Analysis. GLOBECOM (Workshops) Cristian J. Vaca-Rubio, Luis Blanco, Roberto Pereira, Màrius Caus
2024	J	`jnl`	Kolmogorov-Arnold Networks (KANs) for Time Series Analysis. CoRR Cristian J. Vaca-Rubio, Luis Blanco, Roberto Pereira, Màrius Caus
2024	J	`jnl`	Learn More by Using Less: Distributed Learning with Energy-Constrained Devices. CoRR Roberto Pereira, Cristian J. Vaca-Rubio, Luis Blanco
2024	J	`jnl`	Statistical Framework for Clustering MU-MIMO Wireless via Second Order Statistics. CoRR Roberto Pereira, Xavier Mestre
2023	Misc	`conf`	Consistent Estimators of a New Class of Covariance Matrix Distances in the Large Dimensional Regime. ICASSP Roberto Pereira, Xavier Mestre, David Gregoratti
2023	—	`conf`	Statistical Framework for Clustering MU-MIMO Wireless via Second Order Statistics. ISWCS Roberto Pereira, Xavier Mestre
2022	—	`conf`	Beam Aware Stochastic Multihop Routing for Flying Ad-hoc Networks. ICC Workshops Anay Ajit Deshpande, Andrea Zanella, Roberto Pereira, Adriano Pastore, Xavier Mestre, Federico Chiariotti
2022	J	`jnl`	Beam Aware Stochastic Multihop Routing for Flying Ad-hoc Networks. CoRR Anay Ajit Deshpande, Roberto Pereira, Federico Chiariotti, Adriano Pastore, Xavier Mestre, Andrea Zanella
2022	Misc	`conf`	Clustering Complex Subspaces in Large Dimensions. ICASSP Roberto Pereira, Xavier Mestre, David Gregoratti
2022	J	`jnl`	Floor Map Reconstruction Through Radio Sensing and Learning By a Large Intelligent Surface. CoRR Cristian J. Vaca-Rubio, Roberto Pereira, Xavier Mestre, David Gregoratti, Zheng-Hua Tan, Elisabeth de Carvalho, Petar Popovski
2022	—	`conf`	Floor Map Reconstruction Through Radio Sensing and Learning by a Large Intelligent Surface. MLSP Cristian J. Vaca-Rubio, Roberto Pereira, Xavier Mestre, David Gregoratti, Zheng-Hua Tan, Elisabeth de Carvalho, Petar Popovski
2022	—	`conf`	User Clustering for Rate Splitting using Machine Learning. EUSIPCO Roberto Pereira, Anay Ajit Deshpande, Cristian J. Vaca-Rubio, Xavier Mestre, Andrea Zanella, David Gregoratti, Elisabeth de Carvalho, Petar Popovski
2022	J	`jnl`	User Clustering for Rate Splitting using Machine Learning. CoRR Roberto Pereira, Anay Ajit Deshpande, Cristian J. Vaca-Rubio, Xavier Mestre, Andrea Zanella, David Gregoratti, Elisabeth de Carvalho, Petar Popovski
2021	—	`conf`	Subspace Based Hierarchical Channel Clustering in Massive MIMO. GLOBECOM (Workshops) Roberto Pereira, Xavier Mestre, David Gregoratti
2019	C	`conf`	A Fleet-Based Machine Learning Approach for Automatic Detection of Deviations between Measurements and Reality. IV Jakob Pfeiffer, Peter Wolf, Roberto Pereira