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Adrián Tormos
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2020 – today
- 2024
- [c4]Adrián Tormos, Victor Gimenez-Abalos, Javier Vázquez-Salceda, Sergio Álvarez-Napagao:
pgeon applied to Overcooked-AI to explain agents' behaviour. AAMAS 2024: 2821-2823 - [i3]Ashwin Kumar Gururajan, Enrique Lopez-Cuena, Jordi Bayarri-Planas, Adrián Tormos, Daniel Hinjos, Pablo Bernabeu-Perez, Anna Arias-Duart, Pablo Agustin Martin-Torres, Lucia Urcelay-Ganzabal, Marta Gonzalez-Mallo, Sergio Álvarez-Napagao, Eduard Ayguadé Parra, Ulises Cortés Dario Garcia-Gasulla:
Aloe: A Family of Fine-tuned Open Healthcare LLMs. CoRR abs/2405.01886 (2024) - [i2]Victor Gimenez-Abalos, Sergio Álvarez-Napagao, Adrián Tormos, Ulises Cortés, Javier Vázquez-Salceda:
Intention-aware policy graphs: answering what, how, and why in opaque agents. CoRR abs/2409.19038 (2024) - 2023
- [c3]José Fernando Núñez, Jamie Arjona, Adrián Tormos, Darío García, Javier Béjar:
Applying Generative Models and Transfer Learning to Physiological Data Classification. CCIA 2023: 28-37 - 2022
- [c2]Marc Domènech i Vila, Dmitry Gnatyshak, Adrián Tormos, Sergio Álvarez-Napagao:
Testing Reinforcement Learning Explainability Methods in a Multi-Agent Cooperative Environment. CCIA 2022: 355-364 - [i1]Adrián Tormos, Dario Garcia-Gasulla, Victor Gimenez-Abalos, Sergio Álvarez-Napagao:
When & How to Transfer with Transfer Learning. CoRR abs/2211.04347 (2022) - 2021
- [c1]Marta Barroso, Adrián Tormos, Raquel Pérez-Arnal, Sergio Álvarez-Napagao, Dario Garcia-Gasulla:
Collection, Processing and Analysis of Heterogeneous Data Coming from Spanish Hospitals in the Context of COVID-19. CCIA 2021: 254-263
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last updated on 2024-10-18 19:33 CEST by the dblp team
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