Miguel Calvo-Fullana

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 47

Top Topics

Wireless Sensor

Scheduling Policies

Communication Networks

Reinforcement Learning

Top Venues

IEEE Trans. Signal Process.

Publications

Luiz F. O. Chamon, Santiago Paternain, Miguel Calvo-Fullana, Alejandro Ribeiro
Constrained Learning With Non-Convex Losses. IEEE Trans. Inf. Theory 69 (3) (2023)
Miguel Calvo-Fullana, Mikhail Gerasimenko, Daniel Mox, Leopoldo Agorio, Mariana del Castillo, Vijay Kumar, Alejandro Ribeiro, Juan Andrés Bazerque
A Networked Multi-Agent System for Mobile Wireless Infrastructure on Demand. CoRR (2023)
Juan Cerviño, Juan Andrés Bazerque, Miguel Calvo-Fullana, Alejandro Ribeiro
Multi-Task Bias-Variance Trade-Off Through Functional Constraints. ICASSP (2023)
Santiago Paternain, Miguel Calvo-Fullana, Luiz F. O. Chamon, Alejandro Ribeiro
Safe Policies for Reinforcement Learning via Primal-Dual Methods. IEEE Trans. Autom. Control. 68 (3) (2023)
Yulun Tian, Amrit Singh Bedi, Alec Koppel, Miguel Calvo-Fullana, David M. Rosen, Jonathan P. How
Distributed Riemannian Optimization with Lazy Communication for Collaborative Geometric Estimation. CoRR (2022)
Miguel Calvo-Fullana, Jonathan P. How
Mission-Aware Value of Information Censoring for Distributed Filtering. CoRR (2022)
Miguel Calvo-Fullana, Jonathan P. How
Mission-Aware Value of Information Censoring for Distributed Filtering. CDC (2022)
Yulun Tian, Amrit Singh Bedi, Alec Koppel, Miguel Calvo-Fullana, David M. Rosen, Jonathan P. How
Distributed Riemannian Optimization with Lazy Communication for Collaborative Geometric Estimation. IROS (2022)
Miguel Calvo-Fullana, Jonathan P. How
Distributed Filtering with Value of Information Censoring. CoRR (2022)
Miguel Calvo-Fullana, Jonathan P. How
Distributed Filtering with Value of Information Censoring. ACC (2022)
Juan Cerviño, Juan Andrés Bazerque, Miguel Calvo-Fullana, Alejandro Ribeiro
Multi-task Bias-Variance Trade-off Through Functional Constraints. CoRR (2022)
Miguel Calvo-Fullana, Daniel Mox, Alexander Pyattaev, Jonathan Fink, Vijay Kumar, Alejandro Ribeiro
ROS-NetSim: A Framework for the Integration of Robotic and Network Simulators. CoRR (2021)
Juan Cerviño, Juan Andrés Bazerque, Miguel Calvo-Fullana, Alejandro Ribeiro
Multi-task Supervised Learning via Cross-learning. EUSIPCO (2021)
Miguel Calvo-Fullana, Luiz F. O. Chamon, Santiago Paternain
Towards Safe Continuing Task Reinforcement Learning. CoRR (2021)
Miguel Calvo-Fullana, Santiago Paternain, Luiz F. O. Chamon, Alejandro Ribeiro
State Augmented Constrained Reinforcement Learning: Overcoming the Limitations of Learning with Rewards. CoRR (2021)
Miguel Calvo-Fullana, Daniel Mox, Alexander Pyattaev, Jonathan Fink, Vijay Kumar, Alejandro Ribeiro
ROS-NetSim: A Framework for the Integration of Robotic and Network Simulators. IEEE Robotics Autom. Lett. 6 (2) (2021)
Luiz F. O. Chamon, Santiago Paternain, Miguel Calvo-Fullana, Alejandro Ribeiro
Constrained Learning with Non-Convex Losses. CoRR (2021)
Juan Cerviño, Juan Andrés Bazerque, Miguel Calvo-Fullana, Alejandro Ribeiro
Multi-Task Reinforcement Learning in Reproducing Kernel Hilbert Spaces via Cross-Learning. IEEE Trans. Signal Process. 69 (2021)
Miguel Calvo-Fullana, Alexander Pyattaev, Daniel Mox, Sergey Andreev, Alejandro Ribeiro
Communications and Robotics Simulation in UAVs: A Case Study on Aerial Synthetic Aperture Antennas. IEEE Commun. Mag. 59 (1) (2021)
Miguel Calvo-Fullana, Luiz F. O. Chamon, Santiago Paternain
Towards Safe Continuing Task Reinforcement Learning. ACC (2021)
Luiz F. O. Chamon, Santiago Paternain, Miguel Calvo-Fullana, Alejandro Ribeiro
The empirical duality gap of constrained statistical learning. CoRR (2020)
Juan Cerviño, Juan Andrés Bazerque, Miguel Calvo-Fullana, Alejandro Ribeiro
Multi-task Reinforcement Learning in Reproducing Kernel Hilbert Spaces via Cross-learning. CoRR (2020)
Juan Cerviño, Juan Andrés Bazerque, Miguel Calvo-Fullana, Alejandro Ribeiro
Multi-task Supervised Learning via Cross-learning. CoRR (2020)
Luiz F. O. Chamon, Santiago Paternain, Miguel Calvo-Fullana, Alejandro Ribeiro
The Empirical Duality Gap of Constrained Statistical Learning. ICASSP (2020)
Daniel Mox, Miguel Calvo-Fullana, Jonathan Fink, Vijay Kumar, Alejandro Ribeiro
Mobile Wireless Network Infrastructure on Demand. CoRR (2020)
Miguel Calvo-Fullana, Carles Antón-Haro, Javier Matamoros, Alejandro Ribeiro
Random Access Communication for Wireless Control Systems With Energy Harvesting Sensors. IEEE Trans. Signal Process. 68 (2020)
Daniel Mox, Miguel Calvo-Fullana, Mikhail Gerasimenko, Jonathan Fink, Vijay Kumar, Alejandro Ribeiro
Mobile Wireless Network Infrastructure on Demand. ICRA (2020)
Santiago Paternain, Miguel Calvo-Fullana, Luiz F. O. Chamon, Alejandro Ribeiro
Safe Policies for Reinforcement Learning via Primal-Dual Methods. CoRR (2019)
Santiago Paternain, Luiz F. O. Chamon, Miguel Calvo-Fullana, Alejandro Ribeiro
Constrained Reinforcement Learning Has Zero Duality Gap. CoRR (2019)
Santiago Paternain, Luiz F. O. Chamon, Miguel Calvo-Fullana, Alejandro Ribeiro
Constrained Reinforcement Learning Has Zero Duality Gap. NeurIPS (2019)
Santiago Paternain, Miguel Calvo-Fullana, Luiz F. O. Chamon, Alejandro Ribeiro
Learning Safe Policies via Primal-Dual Methods. CDC (2019)
Tanmay Ram Godbole, Miguel Calvo-Fullana, Alexander Pyattaev, Daniel Mox, Sergey Andreev, Alejandro Ribeiro, Mikko Valkama
Modeling mmWave Channels in High-Fidelity Simulations of Unmanned Aerial Systems. SPAWC (2019)
Juan Cerviño, Juan Andrés Bazerque, Miguel Calvo-Fullana, Alejandro Ribeiro
Meta-Learning through Coupled Optimization in Reproducing Kernel Hilbert Spaces. ACC (2019)
Miguel Calvo-Fullana, Fikadu T. Dagefu, Brian M. Sadler, Alejandro Ribeiro
Multi-mode Autonomous Communication Systems. ACSSC (2019)
Miguel Calvo-Fullana, Carles Antón-Haro, Javier Matamoros, Alejandro Ribeiro
Stochastic Routing and Scheduling Policies for Energy Harvesting Communication Networks. IEEE Trans. Signal Process. 66 (13) (2018)
Miguel Calvo-Fullana, Carles Antón-Haro, Javier Matamoros, Alejandro Ribeiro
Random Access Communication for Wireless Control Systems with Energy Harvesting Sensors. CoRR (2018)
Miguel Calvo-Fullana, Javier Matamoros, Carles Antón-Haro
Reconstruction of Correlated Sources With Energy Harvesting Constraints in Delay-Constrained and Delay-Tolerant Communication Scenarios. IEEE Trans. Wirel. Commun. 16 (3) (2017)
Miguel Calvo-Fullana, Carles Antón-Haro, Javier Matamoros, Alejandro Ribeiro
Random access policies for wireless networked control systems with energy harvesting sensors. ACC (2017)
Miguel Calvo-Fullana, Javier Matamoros, Carles Antón-Haro
Reconstruction of Correlated Sources with Energy Harvesting Constraints in Delay-constrained and Delay-tolerant Communication Scenarios. CoRR (2017)
Miguel Calvo-Fullana, Carles Antón-Haro, Javier Matamoros, Alejandro Ribeiro
Stochastic Routing and Scheduling Policies for Energy Harvesting Communication Networks. CoRR (2017)
Miguel Calvo-Fullana, Javier Matamoros, Carles Antón-Haro, Alejandro Ribeiro
Stochastic backpressure in energy harvesting networks. ICASSP (2017)
Miguel Calvo-Fullana, Javier Matamoros, Carles Antón-Haro
Decentralized sparsity-promoting sensor selection in energy harvesting wireless sensor networks. EUSIPCO (2016)
Miguel Calvo-Fullana, Javier Matamoros, Carles Antón-Haro
Sensor Selection and Power Allocation Strategies for Energy Harvesting Wireless Sensor Networks. CoRR (2016)
Miguel Calvo-Fullana, Javier Matamoros, Carles Antón-Haro
Sensor Selection and Power Allocation Strategies for Energy Harvesting Wireless Sensor Networks. IEEE J. Sel. Areas Commun. 34 (12) (2016)
Miguel Calvo-Fullana, Javier Matamoros, Carles Antón-Haro, Sophie M. Fosson
Sparsity-promoting sensor selection with energy harvesting constraints. ICASSP (2016)
Javier Matamoros, Miguel Calvo-Fullana, Carles Antón-Haro
On the impact of correlated sampling processes in WSNs with energy-neutral operation. ICC (2015)
Miguel Calvo-Fullana, Javier Matamoros, Carles Antón-Haro
Sensor selection in energy harvesting wireless sensor networks. GlobalSIP (2015)