Search Results - Arjona-Medina, Jose A

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  1. 1
    Computational workflow for the fine-grained analysis of metagenomic samples

    Computational workflow for the fine-grained analysis of metagenomic samples by Pérez-Wohlfeil, Esteban, Arjona-Medina, Jose A, Torreno, Oscar, Ulzurrun, Eugenia, Trelles, Oswaldo

    Published in BMC genomics
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  2. 2
    Computational Synteny Block: A Framework to Identify Evolutionary Events

    Computational Synteny Block: A Framework to Identify Evolutionary Events by Arjona-Medina, Jose A., Trelles, Oswaldo

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  3. 3
    Deep Reinforcement Learning for Optimization at Early Design Stages

    Deep Reinforcement Learning for Optimization at Early Design Stages by Servadei, Lorenzo, Lee, Jin Hwa, Arjona Medina, Jose A., Werner, Michael, Hochreiter, Sepp, Ecker, Wolfgang, Wille, Robert

    Published in IEEE design and test
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  4. 4
    Explaining and Interpreting LSTMs

    Explaining and Interpreting LSTMs by Arras, Leila, Arjona-Medina, Jose A, Widrich, Michael, Montavon, Grégoire, Gillhofer, Michael, Klaus-Robert Müller, Hochreiter, Sepp, Samek, Wojciech

    Published in arXiv.org
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  5. 5
    Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution

    Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution by Patil, Vihang P, Hofmarcher, Markus, Marius-Constantin Dinu, Dorfer, Matthias, Blies, Patrick M, Brandstetter, Johannes, Arjona-Medina, Jose A, Hochreiter, Sepp

    Published in arXiv.org
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  6. 6
    RUDDER: Return Decomposition for Delayed Rewards

    RUDDER: Return Decomposition for Delayed Rewards by Arjona-Medina, Jose A, Gillhofer, Michael, Widrich, Michael, Unterthiner, Thomas, Brandstetter, Johannes, Hochreiter, Sepp

    Published in arXiv.org
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  7. 7
    Computational Synteny Block: A Framework to Identify Evolutionary Events

    Computational Synteny Block: A Framework to Identify Evolutionary Events by Arjona-Medina, Jose Antonio, Trelles, Oswaldo

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  8. 8
    Scene-adaptive radar tracking with deep reinforcement learning

    Scene-adaptive radar tracking with deep reinforcement learning by Stephan, Michael, Servadei, Lorenzo, Arjona-Medina, José, Santra, Avik, Wille, Robert, Fischer, Georg

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  9. 9
    Laparoscopic Sleeve Gastrectomy for High-Risk Patients in a Monocentric Series: Long-Term Outcomes and Predictors of Success

    Laparoscopic Sleeve Gastrectomy for High-Risk Patients in a Monocentric Series: Long-Term Outcomes and Predictors of Success by Gil–Rendo, Aurora, Muñoz-Rodríguez, José Ramón, Domper Bardají, Francisco, Menchén Trujillo, Bruno, Martínez-de Paz, Fernando, Caro González, María del Prado, Arjona Medina, Irene, Martín Fernández, Jesús

    Published in Obesity surgery
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  10. 10
    MEET: A Monte Carlo Exploration-Exploitation Trade-Off for Buffer Sampling

    MEET: A Monte Carlo Exploration-Exploitation Trade-Off for Buffer Sampling by Ott, Julius, Servadei, Lorenzo, Arjona-Medina, Jose, Rinaldi, Enrico, Mauro, Gianfranco, Lopera, Daniela Sanchez, Stephan, Michael, Stadelmayer, Thomas, Santra, Avik, Wille, Robert

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  11. 11
    Analysis of Atom-level pretraining with QM data for Graph Neural Networks Molecular property models

    Analysis of Atom-level pretraining with QM data for Graph Neural Networks Molecular property models by Arjona-Medina, Jose, Nugmanov, Ramil

    Published in arXiv.org
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  12. 12
    Pretraining Graph Transformers with Atom-in-a-Molecule Quantum Properties for Improved ADMET Modeling

    Pretraining Graph Transformers with Atom-in-a-Molecule Quantum Properties for Improved ADMET Modeling by Fallani, Alessio, Nugmanov, Ramil, Arjona-Medina, Jose, Wegner, Jörg Kurt, Tkatchenko, Alexandre, Chernichenko, Kostiantyn

    Published in arXiv.org
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  13. 13
    MEET: A Monte Carlo Exploration-Exploitation Trade-off for Buffer Sampling

    MEET: A Monte Carlo Exploration-Exploitation Trade-off for Buffer Sampling by Ott, Julius, Servadei, Lorenzo, Arjona-Medina, Jose, Rinaldi, Enrico, Mauro, Gianfranco, Daniela Sánchez Lopera, Stephan, Michael, Stadelmayer, Thomas, Santra, Avik, Wille, Robert

    Published in arXiv.org
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  14. 14
    Convergence Proof for Actor-Critic Methods Applied to PPO and RUDDER

    Convergence Proof for Actor-Critic Methods Applied to PPO and RUDDER by Holzleitner, Markus, Gruber, Lukas, Arjona-Medina, José, Brandstetter, Johannes, Hochreiter, Sepp

    Published in arXiv.org
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