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Sepp Hochreiter · SciRah

Researcher profile · OpenAlex

Sepp Hochreiter

Johannes Kepler University of Linz
Johannes Kepler University Linz
AT
NXAI GmbH (Austria)
Johannes Kepler University Linz
AT

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Sepp Hochreiter — researcher profile on SciRah

ORCID iD 0000-0001-7449-2528

Citations: 136.2K
h-index: 56
i10-index: 108
Works: 316

From OpenAlex.

Neural Networks and ApplicationsHydrological Forecasting Using AIComputational Drug Discovery Methods

Most-cited papers

Long Short-Term Memory
Sepp Hochreiter, Jürgen Schmidhuber
1997Neural Computation102K citations
OpenAlex
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler +1 more
2017arXiv (Cornell University)8,365 citations Open access
OpenAlex
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
Djork-Arné Clevert, Thomas Unterthiner, Sepp Hochreiter
2015arXiv (Cornell University)3,338 citations Open access
OpenAlex
The Vanishing Gradient Problem During Learning Recurrent Neural Nets and Problem Solutions
Sepp Hochreiter
1998International Journal of Uncertainty Fuzziness and Knowledge-Based Systems2,934 citations
OpenAlex
Self-Normalizing Neural Networks
Günter Klambauer, Thomas Unterthiner, Andreas Mayr, Sepp Hochreiter
2017arXiv (Cornell University)2,032 citations Open access
OpenAlex
Towards learning universal, regional, and local hydrological behaviors via machine learning applied to large-sample datasets
Frederik Kratzert, Daniel Klotz, Guy Shalev, Günter Klambauer +2 more
2019Hydrology and earth system sciences1,217 citations Open access
OpenAlex
DeepTox: Toxicity Prediction using Deep Learning
Andreas Mayr, Günter Klambauer, Thomas Unterthiner, Sepp Hochreiter
2016Frontiers in Environmental Science1,079 citations Open access
OpenAlex
Toward Improved Predictions in Ungauged Basins: Exploiting the Power of Machine Learning
Frederik Kratzert, Daniel Klotz, Mathew Herrnegger, Alden Keefe Sampson +2 more
2019Water Resources Research998 citations Open access
OpenAlex
A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium
Zhenqiang Su, Reagan J. Kelly, Joshua Xu, Huixiao Hong +96 more
2014Nature Biotechnology981 citations Open access
OpenAlex
Gradient Flow in Recurrent Nets: the Difficulty of Learning Long-Term Dependencies
Sepp Hochreiter, Yoshua Bengio, Fakultit F/jr Informatik, Yoshua Bengio +2 more
2001864 citations
OpenAlex
LSTM can Solve Hard Long Time Lag Problems
Sepp Hochreiter, Jürgen Schmidhuber
1996849 citations
OpenAlex
msa: an R package for multiple sequence alignment
Ulrich Bodenhofer, Enrico Bonatesta, Christoph Horejš-Kainrath, Sepp Hochreiter
2015Bioinformatics739 citations
OpenAlex
Flat Minima
Sepp Hochreiter, Jürgen Schmidhuber
1997Neural Computation692 citations
OpenAlex
DeepSynergy: predicting anti-cancer drug synergy with Deep Learning
Kristina Preuer, Richard P I Lewis, Sepp Hochreiter, Andreas Bender +2 more
2017Bioinformatics656 citations Open access
OpenAlex
Large-scale comparison of machine learning methods for drug target prediction on ChEMBL
Andreas Mayr, Günter Klambauer, Thomas Unterthiner, Marvin N. Steijaert +4 more
2018Chemical Science581 citations Open access
OpenAlex
Learning to Learn Using Gradient Descent
Sepp Hochreiter, A. Steven Younger, Peter R. Conwell
2001Lecture notes in computer science576 citations
OpenAlex
APCluster: an R package for affinity propagation clustering
Ulrich Bodenhofer, Andreas Kothmeier, Sepp Hochreiter
2011Bioinformatics479 citations
OpenAlex
cn.MOPS: mixture of Poissons for discovering copy number variations in next-generation sequencing data with a low false discovery rate
Günter Klambauer, Karin Schwarzbauer, Andreas Mayr, Djork-Arné Clevert +3 more
2012Nucleic Acids Research455 citations Open access
OpenAlex
GANs Trained by a Two Time-Scale Update Rule Converge to a Nash Equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler +2 more
2017arXiv (Cornell University)364 citations Open access
OpenAlex
Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen
Michael P. Menden, Dennis Y.Q. Wang, Mike J. Mason, Bence Szalai +96 more
2019Nature Communications362 citations Open access
OpenAlex
Fréchet ChemNet Distance: A Metric for Generative Models for Molecules in Drug Discovery
Kristina Preuer, Philipp Renz, Thomas Unterthiner, Sepp Hochreiter +1 more
2018Journal of Chemical Information and Modeling343 citations Open access
OpenAlex
FABIA: factor analysis for bicluster acquisition
Sepp Hochreiter, Ulrich Bodenhofer, Martin Heusel, Andreas Mayr +10 more
2010Bioinformatics296 citations Open access
OpenAlex
xLSTM: Extended Long Short-Term Memory
Maximilian Beck, Korbinian Pöppel, Markus Spanring, Andreas Auer +5 more
2024neural information processing systems290 citations Open access
OpenAlex
Speeding up Semantic Segmentation for Autonomous Driving
Michael Treml, Jose A. Arjona-Medina, Thomas Unterthiner, Rupesh Durgesh +8 more
2016271 citations
OpenAlex
Uncertainty estimation with deep learning for rainfall–runoff modeling
Daniel Klotz, Frederik Kratzert, Martin Gauch, Alden Keefe Sampson +4 more
2022Hydrology and earth system sciences262 citations Open access
OpenAlex
A new summarization method for affymetrix probe level data
Sepp Hochreiter, Djork-Arné Clevert, Klaus Obermayer
2006Bioinformatics249 citations
OpenAlex
Hopfield Networks is All You Need
Hubert Ramsauer, Bernhard Schäfl, Johannes M. Lehner, Philipp Seidl +12 more
2020arXiv (Cornell University)237 citations Open access
OpenAlex
Repurposing High-Throughput Image Assays Enables Biological Activity Prediction for Drug Discovery
Jaak Simm, Günter Klambauer, Ádám Arany, Marvin N. Steijaert +14 more
2018Cell chemical biology233 citations Open access
OpenAlex
A note on leveraging synergy in multiple meteorological data sets with deep learning for rainfall–runoff modeling
Frederik Kratzert, Daniel Klotz, Sepp Hochreiter, Grey Nearing
2021Hydrology and earth system sciences192 citations Open access
OpenAlex
NeuralHydrology – Interpreting LSTMs in Hydrology
Frederik Kratzert, Mathew Herrnegger, Daniel Klotz, Sepp Hochreiter +1 more
2019Lecture notes in computer science158 citations Open access
OpenAlex
On failure modes in molecule generation and optimization
Philipp Renz, Dries Van Rompaey, Jörg K. Wegner, Sepp Hochreiter +1 more
2019Drug Discovery Today Technologies154 citations Open access
OpenAlex
Interpretable Deep Learning in Drug Discovery
Kristina Preuer, Günter Klambauer, Friedrich Rippmann, Sepp Hochreiter +1 more
2019Lecture notes in computer science135 citations Open access
OpenAlex
Fast model-based protein homology detection without alignment
Sepp Hochreiter, Martin Heusel, Klaus Obermayer
2007Bioinformatics128 citations Open access
OpenAlex
Assessing technical performance in differential gene expression experiments with external spike-in RNA control ratio mixtures
Sarah A. Munro, Steven P. Lund, P. Scott Pine, Hans Binder +29 more
2014Nature Communications124 citations Open access
OpenAlex
RUDDER: Return Decomposition for Delayed Rewards
Jose A. Arjona-Medina, Michael Gillhofer, Michael Widrich, Thomas Unterthiner +2 more
2018arXiv (Cornell University)117 citations Open access
OpenAlex
I/NI-calls for the exclusion of non-informative genes: a highly effective filtering tool for microarray data
Willem Talloen, Djork-Arné Clevert, Sepp Hochreiter, Dhammika Amaratunga +3 more
2007Bioinformatics117 citations Open access
OpenAlex
MC-LSTM: Mass-Conserving LSTM
Pieter-Jan Hoedt, Frederik Kratzert, Daniel Klotz, Christina Halmich +4 more
2021arXiv (Cornell University)111 citations Open access
OpenAlex
Accurate Prediction of Biological Assays with High-Throughput Microscopy Images and Convolutional Networks
Markus Hofmarcher, Elisabeth Rumetshofer, Djork-Arné Clevert, Sepp Hochreiter +1 more
2019Journal of Chemical Information and Modeling110 citations
OpenAlex
Modern Hopfield Networks and Attention for Immune Repertoire Classification
Michael Widrich, Bernhard Schäfl, Milena Pavlović, Hubert Ramsauer +7 more
2020bioRxiv (Cold Spring Harbor Laboratory)104 citations Open access
OpenAlex
Explaining and Interpreting LSTMs
Leila Arras, José Arjona-Medina, Michael Widrich, Grégoire Montavon +4 more
2019Lecture notes in computer science101 citations Open access
OpenAlex
Using transcriptomics to guide lead optimization in drug discovery projects: Lessons learned from the QSTAR project
Bie M. P. Verbist, Günter Klambauer, Liesbet Vervoort, Willem Talloen +5 more
2015Drug Discovery Today96 citations Open access
OpenAlex
In silico proof of principle of machine learning-based antibody design at unconstrained scale
Rahmad Akbar, Philippe Auguste Robert, Cédric R. Weber, Michael Widrich +15 more
2022mAbs94 citations Open access
OpenAlex
Machine Learning in Drug Discovery
Günter Klambauer, Sepp Hochreiter, Matthias Rarey
2019Journal of Chemical Information and Modeling88 citations
OpenAlex
The immuneML ecosystem for machine learning analysis of adaptive immune receptor repertoires
Milena Pavlović, Lonneke Scheffer, Keshav Motwani, Chakravarthi Kanduri +39 more
2021Nature Machine Intelligence87 citations Open access
OpenAlex
panelcn.MOPS: Copy-number detection in targeted NGS panel data for clinical diagnostics
Gundula Povysil, Antigoni Tzika, Julia Vogt, Verena Haunschmid +5 more
2017Human Mutation87 citations Open access
OpenAlex
SIMPLIFYING NEURAL NETS BY DISCOVERING FLAT MINIMA
Sepp Hochreiter, Jürgen Schmidhuber
199487 citations
OpenAlex
Toxicity Prediction using Deep Learning
Thomas Unterthiner, Andreas Mayr, Günter Klambauer, Sepp Hochreiter
2015arXiv (Cornell University)86 citations Open access
OpenAlex
Support Vector Machines for Dyadic Data
Sepp Hochreiter, Klaus Obermayer
2006Neural Computation86 citations
OpenAlex
Feature Extraction Through LOCOCODE
Sepp Hochreiter, Jürgen Schmidhuber
1999Neural Computation83 citations
OpenAlex
Improving Few- and Zero-Shot Reaction Template Prediction Using Modern Hopfield Networks
Philipp Seidl, Philipp Renz, Natalia Dyubankova, Paulo Neves +5 more
2022Journal of Chemical Information and Modeling72 citations Open access
OpenAlex

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20122026

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Thomas UnterthinerJohannes Kepler University of Linz×11
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Djork-Arné ClevertJohannes Kepler University of Linz×8
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Johannes Kepler University of Linz

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Andreas Mayr — researcher profile on SciRah

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Frederik KratzertJohannes Kepler University of Linz×6

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Jürgen SchmidhuberDalle Molle Institute for Artificial Intelligence Research×5

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Martin HeuselJohannes Kepler University of Linz×5

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Grey NearingUniversity of Alabama×5

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J. Brandstetter×5

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Hubert RamsauerJohannes Kepler University of Linz×4

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Affiliation history

Johannes Kepler University of Linz2006–2026
Oslo University Hospital2021
Janssen (Belgium)2007–2011
Johns Hopkins University2014
Austrian Research Institute for Artificial Intelligence2022–2024
University of Alabama2019
University of Oslo2020–2021
University of Colorado Boulder2000–2002
Dalle Molle Institute for Artificial Intelligence Research1997
University of Colorado System2002