Jose A. Arjona-Medina

According to our database, Jose A. Arjona-Medina authored at least 15 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Alessio Fallani, Ramil I. Nugmanov, Jose A. Arjona-Medina, Jörg Kurt Wegner, Alexandre Tkatchenko, Kostiantyn Chernichenko

CoRR, 2024

Analysis of Atom-level pretraining with Quantum Mechanics (QM) data for Graph Neural Networks Molecular property models.

Jose A. Arjona-Medina, Ramil I. Nugmanov

CoRR, 2024

Atom-Level Quantum Pretraining Enhances the Spectral Perception of Molecular Graphs in Graphormer.

Alessio Fallani, José Antonio Arjona-Medina, Konstantin Chernichenko, Ramil I. Nugmanov, Jörg Kurt Wegner, Alexandre Tkatchenko

Proceedings of the AI in Drug Discovery - First International Workshop, 2024

2023

Deep Reinforcement Learning for Optimization at Early Design Stages.

Lorenzo Servadei, Jin Hwa Lee, José Antonio Arjona-Medina, Michael Werner, Sepp Hochreiter, Wolfgang Ecker, Robert Wille

IEEE Des. Test, February, 2023

MEET: A Monte Carlo Exploration-Exploitation Trade-Off for Buffer Sampling.

Julius Ott, Lorenzo Servadei, Jose A. Arjona-Medina, Enrico Rinaldi, Gianfranco Mauro, Daniela Sanchez Lopera, Michael Stephan, Thomas Stadelmayer, Avik Santra, Robert Wille

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution.

Vihang Patil, Markus Hofmarcher, Marius-Constantin Dinu, Matthias Dorfer, Patrick M. Blies, Johannes Brandstetter, José Antonio Arjona-Medina, Sepp Hochreiter

Proceedings of the International Conference on Machine Learning, 2022

2021

Convergence Proof for Actor-Critic Methods Applied to PPO and RUDDER.

Markus Holzleitner, Lukas Gruber, José Antonio Arjona-Medina, Johannes Brandstetter, Sepp Hochreiter

Trans. Large Scale Data Knowl. Centered Syst., 2021

2020

Cost Optimization at Early Stages of Design Using Deep Reinforcement Learning.

Lorenzo Servadei, Jiapeng Zheng, Jose A. Arjona-Medina, Michael Werner, Volkan Esen, Sepp Hochreiter, Wolfgang Ecker, Robert Wille

Proceedings of the MLCAD '20: 2020 ACM/IEEE Workshop on Machine Learning for CAD, 2020

XAI and Strategy Extraction via Reward Redistribution.

Marius-Constantin Dinu, Markus Hofmarcher, Vihang Prakash Patil, Matthias Dorfer, Patrick M. Blies, Johannes Brandstetter, Jose A. Arjona-Medina, Sepp Hochreiter

Proceedings of the xxAI - Beyond Explainable AI, 2020

2019

Visual Scene Understanding for Autonomous Driving Using Semantic Segmentation.

Markus Hofmarcher, Thomas Unterthiner, Jose A. Arjona-Medina, Günter Klambauer, Sepp Hochreiter, Bernhard Nessler

Proceedings of the Explainable AI: Interpreting, 2019

Explaining and Interpreting LSTMs.

Leila Arras, Jose A. Arjona-Medina, Michael Widrich, Grégoire Montavon, Michael Gillhofer, Klaus-Robert Müller, Sepp Hochreiter, Wojciech Samek

Proceedings of the Explainable AI: Interpreting, 2019

Explaining and Interpreting LSTMs.

Leila Arras, Jose A. Arjona-Medina, Michael Widrich, Grégoire Montavon, Michael Gillhofer, Klaus-Robert Müller, Sepp Hochreiter, Wojciech Samek

CoRR, 2019

RUDDER: Return Decomposition for Delayed Rewards.

Jose A. Arjona-Medina, Michael Gillhofer, Michael Widrich, Thomas Unterthiner, Johannes Brandstetter, Sepp Hochreiter

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

RUDDER: Return Decomposition for Delayed Rewards.

Jose A. Arjona-Medina, Michael Gillhofer, Michael Widrich, Thomas Unterthiner, Sepp Hochreiter

CoRR, 2018

2015

Computational Synteny Block: A framework to identify evolutionary events.

Jose A. Arjona-Medina, Oswaldo Trelles

Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015