Sotabase

Career

· Head, Linz Institute of Technology (LIT) AI Lab2017–
· Head of Institute of Bioinformatics, Johannes Kepler University Linz2006–2018
· Professor and Head of Institute for Machine Learning, Johannes Kepler University Linz2006–
· Researcher, Technical University of Berlin2002–2006
· Postdoctoral Researcher, University of Colorado Boulder1999–2001
· Founding Director, Institute of Advanced Research in Artificial Intelligence (IARAI)
· PhD Student, Technical University of Munich
· Master's Degree in Computer Science, Technische Universität München
· PhD in Computer Science, Technische Universität München

Publications (292)

Long Short-Term Memory
Neural Computation · 1997
100,194
cited
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
Neural Information Processing Systems · 2017
16,726
cited
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
International Conference on Learning Representations · 2015
5,932
cited
Self-Normalizing Neural Networks
Neural Information Processing Systems · 2017
2,771
cited
The Vanishing Gradient Problem During Learning Recurrent Neural Nets and Problem Solutions
Int. J. Uncertain. Fuzziness Knowl. Based Syst. · 1998
2,650
cited
Gradient Flow in Recurrent Nets: the Difficulty of Learning Long-Term Dependencies
2001
2,056
cited
Flat Minima
Neural Computation · 1997
1,106
cited
LSTM can Solve Hard Long Time Lag Problems
Neural Information Processing Systems · 1996
1,054
cited
A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control consortium
Nature Biotechnology · 2014
915
cited
DeepTox: Toxicity Prediction using Deep Learning
Frontiers in Environmental Science · 2016
852
cited
Towards learning universal, regional, and local hydrological behaviors via machine learning applied to large-sample datasets
Hydrology and Earth System Sciences · 2019
720
cited
Toward Improved Predictions in Ungauged Basins: Exploiting the Power of Machine Learning
Water Resources Research · 2019
595
cited
msa: an R package for multiple sequence alignment
Bioinform. · 2015
587
cited
Hopfield Networks is All You Need
International Conference on Learning Representations · 2020
550
cited
DeepSynergy: predicting anti-cancer drug synergy with Deep Learning
Bioinform. · 2017
531
cited
GANs Trained by a Two Time-Scale Update Rule Converge to a Nash Equilibrium
arXiv.org · 2017
489
cited
APCluster: an R package for affinity propagation clustering
Bioinform. · 2011
469
cited
xLSTM: Extended Long Short-Term Memory
Neural Information Processing Systems · 2024
437
cited
cn.MOPS: mixture of Poissons for discovering copy number variations in next-generation sequencing data with a low false discovery rate
Nucleic Acids Research · 2012
434
cited
Large-scale comparison of machine learning methods for drug target prediction on ChEMBL
Chemical Science · 2018
426
cited
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