Jose A. Arjona-Medina
Jose A. Arjona-Medina
Dynatrace Research
Verified email at - Homepage
Cited by
Cited by
Speeding up semantic segmentation for autonomous driving
M Treml, J Arjona-Medina, T Unterthiner, R Durgesh, F Friedmann, ...
MLITS, NIPS Workshop 2, 7, 2016
RUDDER: Return decomposition for delayed rewards
JA Arjona-Medina, M Gillhofer, M Widrich, T Unterthiner, J Brandstetter, ...
arXiv preprint arXiv:1806.07857, 2018
Explaining and interpreting LSTMs
L Arras, J Arjona-Medina, M Widrich, G Montavon, M Gillhofer, KR Müller, ...
Explainable AI: Interpreting, Explaining and Visualizing Deep Learning, 211-238, 2019
Visual scene understanding for autonomous driving using semantic segmentation
M Hofmarcher, T Unterthiner, J Arjona-Medina, G Klambauer, ...
Explainable AI: Interpreting, Explaining and Visualizing Deep Learning, 285-296, 2019
Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution
VP Patil, M Hofmarcher, MC Dinu, M Dorfer, PM Blies, J Brandstetter, ...
arXiv preprint arXiv:2009.14108, 2020
Computational Synteny Block: A framework to identify evolutionary events
JA Arjona-Medina, O Trelles
IEEE transactions on nanobioscience 15 (4), 343-353, 2016
Convergence proof for actor-critic methods applied to ppo and rudder
M Holzleitner, L Gruber, J Arjona-Medina, J Brandstetter, S Hochreiter
Transactions on Large-Scale Data-and Knowledge-Centered Systems XLVIII, 105-130, 2021
Computational workflow for the fine-grained analysis of metagenomic samples
E Pérez-Wohlfeil, JA Arjona-Medina, O Torreno, E Ulzurrun, O Trelles
BMC genomics 17 (8), 351-361, 2016
Cost Optimization at Early Stages of Design Using Deep Reinforcement Learning
L Servadei, J Zheng, J Arjona-Medina, M Werner, V Esen, S Hochreiter, ...
Proceedings of the 2020 ACM/IEEE Workshop on Machine Learning for CAD, 37-42, 2020
Refining borders of genome-rearrangements including repetitions
JA Arjona-Medina, O Trelles
BMC genomics 17 (8), 433-445, 2016
Algorithms and methods for large-scale genome rearrangements identification
JA Arjona Medina
UMA Editorial, 2017
High resolution refinement of Large Scale Genomic Rearrangements using repetitions: A case study
JA Arjona-Medina, G Thode, O Trelles
F1000Research 5, 2016
A Two Time-Scale Update Rule Ensuring Convergence of Episodic Reinforcement Learning Algorithms at the Example of RUDDER
MHJA Arjona-Medina, MC Dinu, AVLGS Hochreiter
GECKO-MGV: Web-based layered analysis of multiple genome comparisons including external post-processing services
S Diaz-Del-Pino, J Arjona-Medina, O Torreno, S Benavides, O Trelles
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