Jose A. Arjona-Medina

16 papers A* 1Misc 1Journal 9Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Benchmarking molecular conformer augmentation with context-enriched training: graph-based transformer versus GNN models. J. Cheminformatics Cecile Valsecchi, Jose A. Arjona-Medina, Natalia Dyubankova, Ramil I. Nugmanov
2025	J	`jnl`	Pretraining graph transformers with atom-in-a-molecule quantum properties for improved ADMET modeling. J. Cheminformatics Alessio Fallani, Ramil I. Nugmanov, Jose A. Arjona-Medina, Jörg Kurt Wegner, Alexandre Tkatchenko, Kostiantyn Chernichenko
2024	J	`jnl`	Analysis of Atom-level pretraining with Quantum Mechanics (QM) data for Graph Neural Networks Molecular property models. CoRR Jose A. Arjona-Medina, Ramil I. Nugmanov
2024	J	`jnl`	Pretraining Graph Transformers with Atom-in-a-Molecule Quantum Properties for Improved ADMET Modeling. CoRR Alessio Fallani, Ramil I. Nugmanov, Jose A. Arjona-Medina, Jörg Kurt Wegner, Alexandre Tkatchenko, Kostiantyn Chernichenko
2023	Misc	`conf`	MEET: A Monte Carlo Exploration-Exploitation Trade-Off for Buffer Sampling. ICASSP Julius Ott, Lorenzo Servadei, Jose A. Arjona-Medina, Enrico Rinaldi, Gianfranco Mauro, Daniela Sanchez Lopera, Michael Stephan, Thomas Stadelmayer, Avik Santra, Robert Wille
2022	J	`jnl`	MEET: A Monte Carlo Exploration-Exploitation Trade-off for Buffer Sampling. CoRR Julius Ott, Lorenzo Servadei, Jose A. Arjona-Medina, Enrico Rinaldi, Gianfranco Mauro, Daniela Sanchez Lopera, Michael Stephan, Thomas Stadelmayer, Avik Santra, Robert Wille
2020	J	`jnl`	Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution. CoRR Vihang Prakash Patil, Markus Hofmarcher, Marius-Constantin Dinu, Matthias Dorfer, Patrick M. Blies, Johannes Brandstetter, Jose A. Arjona-Medina, Sepp Hochreiter
2020	J	`jnl`	Convergence Proof for Actor-Critic Methods Applied to PPO and RUDDER. CoRR Markus Holzleitner, Lukas Gruber, Jose A. Arjona-Medina, Johannes Brandstetter, Sepp Hochreiter
2020	—	`conf`	Cost Optimization at Early Stages of Design Using Deep Reinforcement Learning. MLCAD Lorenzo Servadei, Jiapeng Zheng, Jose A. Arjona-Medina, Michael Werner, Volkan Esen, Sepp Hochreiter, Wolfgang Ecker, Robert Wille
2020	—	`conf`	XAI and Strategy Extraction via Reward Redistribution. xxAI@ICML Marius-Constantin Dinu, Markus Hofmarcher, Vihang Prakash Patil, Matthias Dorfer, Patrick M. Blies, Johannes Brandstetter, Jose A. Arjona-Medina, Sepp Hochreiter
2019	J	`jnl`	Explaining and Interpreting LSTMs. CoRR Leila Arras, Jose A. Arjona-Medina, Michael Widrich, Grégoire Montavon, Michael Gillhofer, Klaus-Robert Müller, Sepp Hochreiter, Wojciech Samek
2019	—	`ch.`	Explaining and Interpreting LSTMs. Explainable AI Leila Arras, Jose A. Arjona-Medina, Michael Widrich, Grégoire Montavon, Michael Gillhofer, Klaus-Robert Müller, Sepp Hochreiter, Wojciech Samek
2019	A*	`conf`	RUDDER: Return Decomposition for Delayed Rewards. NeurIPS Jose A. Arjona-Medina, Michael Gillhofer, Michael Widrich, Thomas Unterthiner, Johannes Brandstetter, Sepp Hochreiter
2019	—	`ch.`	Visual Scene Understanding for Autonomous Driving Using Semantic Segmentation. Explainable AI Markus Hofmarcher, Thomas Unterthiner, Jose A. Arjona-Medina, Günter Klambauer, Sepp Hochreiter, Bernhard Nessler
2018	J	`jnl`	RUDDER: Return Decomposition for Delayed Rewards. CoRR Jose A. Arjona-Medina, Michael Gillhofer, Michael Widrich, Thomas Unterthiner, Sepp Hochreiter
2015	—	`conf`	Computational Synteny Block: A framework to identify evolutionary events. BIBM Jose A. Arjona-Medina, Oswaldo Trelles