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Juan Jose Garau-Luis
Juan Jose Garau-Luis
Research Scientist at InstaDeep
Verified email at instadeep.com - Homepage
Title
Cited by
Cited by
Year
Allocating power and bandwidth in multibeam satellite systems using particle swarm optimization
N Pachler, JJ Garau-Luis, M Guerster, E Crawley, B Cameron
2020 IEEE Aerospace Conference, 1-11, 2020
472020
Deep Reinforcement Learning for Continuous Power Allocation in Flexible High Throughput Satellites
JJ Garau-Luis, M Guerster, E Crawley, B Cameron
37*2019
Artificial intelligence algorithms for power allocation in high throughput satellites: A comparison
JJ Garau-Luis, N Pachler, M Guerster, I del Portillo, E Crawley, ...
2020 IEEE Aerospace Conference, 1-15, 2020
362020
Problem representation of dynamic resource allocation for flexible high throughput satellites
M Guerster, JJ Garau-Luis, E Crawley, B Cameron
272019
Deep Reinforcement Learning Architecture for Continuous Power Allocation in High Throughput Satellites
JJ Garau-Luis, M Guerster, I del Portillo, E Crawley, B Cameron
arXiv preprint arXiv:1906.00571, 2019
262019
Integrating LSTMS and GNNS for covid-19 forecasting
N Sesti, JJ Garau-Luis, E Crawley, B Cameron
arXiv preprint arXiv:2108.10052, 2021
172021
Applicability and Challenges of Deep Reinforcement Learning for Satellite Frequency Plan Design
JJ Garau-Luis, E Crawley, B Cameron
2021 IEEE Aerospace Conference (50100), 1-11, 2021
82021
Frequency plan design for multibeam satellite constellations using linear programming
JJ Garau-Luis, S Aliaga, G Casadesus, N Pachler, E Crawley, B Cameron
arXiv preprint arXiv:2204.12494, 2022
72022
Towards Autonomous Satellite Communications: An AI-based Framework to Address System-level Challenges
JJ Garau-Luis, S Eiskowitz, N Pachler, E Crawley, B Cameron
arXiv preprint arXiv:2112.06055, 2021
72021
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research
JJ Garau-Luis, E Crawley, B Cameron
arXiv preprint arXiv:2107.03015, 2021
52021
Multi-objective evolution for generalizable policy gradient algorithms
JJ Garau-Luis, Y Miao, JD Co-Reyes, A Parisi, J Tan, E Real, A Faust
ICLR 2022 Workshop on Generalizable Policy Learning in Physical World, 2022
42022
System architecture for tracking passengers inside an airport terminal using RFID
JJ Garau-Luis, B Cameron, E Crawley, MS Net
2018 IEEE Aerospace Conference, 1-16, 2018
42018
Dynamic frequency assignment for mobile users in multibeam satellite constellations
GC Vila, JJG Luis, NP de la Osa, EF Crawley, BG Cameron
73rd International Astronautical Congress (IAC), 2022
22022
Evolving pareto-optimal actor-critic algorithms for generalizability and stability
JJ Garau-Luis, Y Miao, JD Co-Reyes, A Parisi, J Tan, E Real, A Faust
arXiv preprint arXiv:2204.04292, 2022
22022
Dynamic resource management algorithm reconfiguration for multibeam satellite constellations
S Aliaga, JJ Garau-Luis, E Crawley, B Cameron
2022 IEEE Aerospace Conference (AERO), 1-13, 2022
22022
A Comparison of artificial intelligence algorithms for dynamic power allocation in flexible high throughput satellites
JJ Garau-Luis
Massachusetts Institute of Technology, 2020
22020
Frequency Plan Design for Multibeam Satellite Constellations Using Integer Linear Programming
JJ Garau-Luis, S Aliaga, GC Vila, N Pachler, E Crawley, B Cameron
IEEE Transactions on Wireless Communications, 2023
12023
Multi-modal Transfer Learning between Biological Foundation Models
JJ Garau-Luis, P Bordes, L Gonzalez, M Roller, BP de Almeida, ...
arXiv preprint arXiv:2406.14150, 2024
2024
Dynamic Frequency Assignment for Mobile Users in Multibeam Satellite Constellations
G Casadesus-Vila, JJ Garau-Luis, N Pachler, E Crawley, B Cameron
arXiv preprint arXiv:2403.07007, 2024
2024
Satellite Routing for mobile users under uncertainty in High Throughput constellations
JJ Diaz, NP de La Osa, JJ Garau-Luis, EF Crawley, BG Cameron
2024 IEEE Aerospace Conference, 1-13, 2024
2024
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Articles 1–20