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ORCIDJuan Jose Garau Luis
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2020 – today
- 2025
[j2]Nils Pachler
, Juan Jose Garau Luis, Edward F. Crawley, Bruce G. Cameron:
A Unified Resource Allocation Framework and Impact Evaluation for NGSO Satellite Constellations. Int. J. Satell. Commun. Netw. 43(2): 77-96 (2025)- [c2]Jacob Beck, Shikha Surana, Manus McAuliffe, Oliver Bent, Thomas D. Barrett, Juan Jose Garau-Luis, Paul Duckworth:
Metalic: Meta-Learning In-Context with Protein Language Models. ICLR 2025 - 2024
- [j1]Juan Jose Garau Luis, Sergi Aliaga Torrens, Guillem Casadesus Vila, Nils Pachler de la Osa, Edward F. Crawley, Bruce G. Cameron:
Frequency Plan Design for Multibeam Satellite Constellations Using Integer Linear Programming. IEEE Trans. Wirel. Commun. 23(4): 3312-3327 (2024) - [c1]Juan Jose Garau-Luis, Patrick Bordes, Liam Gonzalez, Masa Roller, Bernardo P. de Almeida, Christopher Blum, Lorenz Hexemer, Stefan Laurent, Maren Lang, Thomas Pierrot, Guillaume Richard:
Multi-modal Transfer Learning between Biological Foundation Models. NeurIPS 2024 - [i11]Guillem Casadesus Vila, Juan Jose Garau Luis, Nils Pachler de la Osa, Edward F. Crawley, Bruce G. Cameron:
Dynamic Frequency Assignment for Mobile Users in Multibeam Satellite Constellations. CoRR abs/2403.07007 (2024) - [i10]Juan Jose Garau-Luis, Patrick Bordes, Liam Gonzalez, Masa Roller, Bernardo P. de Almeida, Lorenz Hexemer, Christopher Blum, Stefan Laurent, Jan Grzegorzewski, Maren Lang, Thomas Pierrot, Guillaume Richard:
Multi-modal Transfer Learning between Biological Foundation Models. CoRR abs/2406.14150 (2024) - [i9]Jacob Beck, Shikha Surana, Manus McAuliffe, Oliver Bent, Thomas D. Barrett, Juan Jose Garau Luis, Paul Duckworth:
Metalic: Meta-Learning In-Context with Protein Language Models. CoRR abs/2410.08355 (2024) - 2022
- [i8]Juan Jose Garau Luis, Yingjie Miao, John D. Co-Reyes, Aaron Parisi, Jie Tan, Esteban Real, Aleksandra Faust:
Multi-objective evolution for Generalizable Policy Gradient Algorithms. CoRR abs/2204.04292 (2022) - [i7]Juan Jose Garau Luis, Sergi Aliaga, Guillem Casadesus, Nils Pachler de la Osa, Edward F. Crawley, Bruce G. Cameron:
Frequency Plan Design for Multibeam Satellite Constellations Using Linear Programming. CoRR abs/2204.12494 (2022) - 2021
- [i6]Juan Jose Garau Luis, Edward F. Crawley, Bruce G. Cameron:
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research. CoRR abs/2107.03015 (2021) - [i5]Nathan Sesti, Juan Jose Garau Luis, Edward F. Crawley, Bruce G. Cameron:
Integrating LSTMs and GNNs for COVID-19 Forecasting. CoRR abs/2108.10052 (2021) - [i4]Juan Jose Garau Luis, Skylar Eiskowitz, Nils Pachler de la Osa, Edward F. Crawley, Bruce G. Cameron:
Towards Autonomous Satellite Communications: An AI-based Framework to Address System-level Challenges. CoRR abs/2112.06055 (2021) - 2020
- [i3]Juan Jose Garau Luis, Edward F. Crawley, Bruce G. Cameron:
Applicability and Challenges of Deep Reinforcement Learning for Satellite Frequency Plan Design. CoRR abs/2010.08015 (2020) - [i2]Juan Jose Garau Luis:
Policy Gradient RL Algorithms as Directed Acyclic Graphs. CoRR abs/2012.07763 (2020)
2010 – 2019
- 2019
- [i1]Juan Jose Garau Luis, Markus Guerster, Iñigo del Portillo, Edward F. Crawley, Bruce G. Cameron:
Deep Reinforcement Learning Architecture for Continuous Power Allocation in High Throughput Satellites. CoRR abs/1906.00571 (2019)
Coauthor Index
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