| Rudder: Return decomposition for delayed rewards JA Arjona-Medina, M Gillhofer, M Widrich, T Unterthiner, J Brandstetter, ... Advances in Neural Information Processing Systems 32, 2019 | 227 | 2019 |
| 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 | 101 | 2019 |
| Furby: fuzzy force-directed bicluster visualization M Streit, S Gratzl, M Gillhofer, A Mayr, A Mitterecker, S Hochreiter BMC bioinformatics 15, 1-13, 2014 | 62 | 2014 |
| Iron maiden while jogging, debussy for dinner? An analysis of music listening behavior in context M Gillhofer, M Schedl MultiMedia Modeling: 21st International Conference, MMM 2015, Sydney, NSW …, 2015 | 44 | 2015 |
| RUDDER: Return decomposition for delayed rewards (2018) JA Arjona-Medina, M Gillhofer, M Widrich, T Unterthiner, J Brandstetter, ... ArXiv https://arxiv. org/abs, 1806 | 6 | 1806 |
| A GAN based solver of black-box inverse problems M Gillhofer, H Ramsauer, J Brandstetter, B Schäfl, S Hochreiter NeurIPS 2019 Workshop on Solving Inverse Problems with Deep Networks, 2019 | 3 | 2019 |
Sepp HochreiterInstitute for Machine Learning, Johannes Kepler University LinzVerified email at ml.jku.at
