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2020 – today
- 2024
[c7]Alessio Fallani, José Antonio Arjona-Medina, Konstantin Chernichenko, Ramil I. Nugmanov, Jörg Kurt Wegner, Alexandre Tkatchenko:
Atom-Level Quantum Pretraining Enhances the Spectral Perception of Molecular Graphs in Graphormer. AIDD@ICANN 2024: 71-81- [i7]Jose A. Arjona-Medina, Ramil I. Nugmanov:
Analysis of Atom-level pretraining with Quantum Mechanics (QM) data for Graph Neural Networks Molecular property models. CoRR abs/2405.14837 (2024) - [i6]Alessio Fallani, Ramil I. Nugmanov, Jose A. Arjona-Medina, Jörg Kurt Wegner, Alexandre Tkatchenko, Kostiantyn Chernichenko:
Pretraining Graph Transformers with Atom-in-a-Molecule Quantum Properties for Improved ADMET Modeling. CoRR abs/2410.08024 (2024) - 2023
- [j2]Lorenzo Servadei
, Jin Hwa Lee, José Antonio Arjona-Medina, Michael Werner, Sepp Hochreiter, Wolfgang Ecker, Robert Wille:
Deep Reinforcement Learning for Optimization at Early Design Stages. IEEE Des. Test 40(1): 43-51 (2023) - [c6]Julius Ott, Lorenzo Servadei, Jose A. Arjona-Medina, Enrico Rinaldi, Gianfranco Mauro, Daniela Sanchez Lopera, Michael Stephan, Thomas Stadelmayer, Avik Santra, Robert Wille:
MEET: A Monte Carlo Exploration-Exploitation Trade-Off for Buffer Sampling. ICASSP 2023: 1-5 - 2022
- [c5]Vihang Patil, Markus Hofmarcher, Marius-Constantin Dinu, Matthias Dorfer, Patrick M. Blies, Johannes Brandstetter, José Antonio Arjona-Medina, Sepp Hochreiter:
Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution. ICML 2022: 17531-17572 - [i5]Julius Ott, Lorenzo Servadei, Jose A. Arjona-Medina, Enrico Rinaldi, Gianfranco Mauro, Daniela Sanchez Lopera, Michael Stephan, Thomas Stadelmayer, Avik Santra, Robert Wille:
MEET: A Monte Carlo Exploration-Exploitation Trade-off for Buffer Sampling. CoRR abs/2210.13545 (2022) - 2021
- [j1]Markus Holzleitner, Lukas Gruber, José Antonio Arjona-Medina, Johannes Brandstetter, Sepp Hochreiter:
Convergence Proof for Actor-Critic Methods Applied to PPO and RUDDER. Trans. Large Scale Data Knowl. Centered Syst. 48: 105-130 (2021) - 2020
- [c4]Marius-Constantin Dinu, Markus Hofmarcher, Vihang Prakash Patil, Matthias Dorfer, Patrick M. Blies, Johannes Brandstetter, Jose A. Arjona-Medina, Sepp Hochreiter:
XAI and Strategy Extraction via Reward Redistribution. xxAI@ICML 2020: 177-205 - [c3]Lorenzo Servadei, Jiapeng Zheng, Jose A. Arjona-Medina, Michael Werner, Volkan Esen, Sepp Hochreiter, Wolfgang Ecker, Robert Wille:
Cost Optimization at Early Stages of Design Using Deep Reinforcement Learning. MLCAD 2020: 37-42 - [i4]Vihang Prakash Patil, Markus Hofmarcher, Marius-Constantin Dinu, Matthias Dorfer, Patrick M. Blies, Johannes Brandstetter, Jose A. Arjona-Medina, Sepp Hochreiter:
Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution. CoRR abs/2009.14108 (2020) - [i3]Markus Holzleitner, Lukas Gruber, Jose A. Arjona-Medina, Johannes Brandstetter, Sepp Hochreiter:
Convergence Proof for Actor-Critic Methods Applied to PPO and RUDDER. CoRR abs/2012.01399 (2020)
2010 – 2019
- 2019
- [c2]Jose A. Arjona-Medina, Michael Gillhofer, Michael Widrich, Thomas Unterthiner, Johannes Brandstetter, Sepp Hochreiter:
RUDDER: Return Decomposition for Delayed Rewards. NeurIPS 2019: 13544-13555 - [p2]Leila Arras, Jose A. Arjona-Medina, Michael Widrich, Grégoire Montavon, Michael Gillhofer, Klaus-Robert Müller, Sepp Hochreiter, Wojciech Samek:
Explaining and Interpreting LSTMs. Explainable AI 2019: 211-238 - [p1]Markus Hofmarcher, Thomas Unterthiner, Jose A. Arjona-Medina, Günter Klambauer, Sepp Hochreiter, Bernhard Nessler:
Visual Scene Understanding for Autonomous Driving Using Semantic Segmentation. Explainable AI 2019: 285-296 - [i2]Leila Arras, Jose A. Arjona-Medina, Michael Widrich, Grégoire Montavon, Michael Gillhofer, Klaus-Robert Müller, Sepp Hochreiter, Wojciech Samek:
Explaining and Interpreting LSTMs. CoRR abs/1909.12114 (2019) - 2018
- [i1]Jose A. Arjona-Medina, Michael Gillhofer, Michael Widrich, Thomas Unterthiner, Sepp Hochreiter:
RUDDER: Return Decomposition for Delayed Rewards. CoRR abs/1806.07857 (2018) - 2015
- [c1]Jose A. Arjona-Medina, Oswaldo Trelles:
Computational Synteny Block: A framework to identify evolutionary events. BIBM 2015: 5-12
Coauthor Index
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