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Sepp Hochreiter

Sepp Hochreiter has 2 papers in our library, in 2015–2024; often with Thomas Unterthiner.

2 papers in our library · 2015–2024

OpenAlex · ORCID · Wikidata · h-index 55 · 316 works · 126,112 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 232 times in our library · ⭐ Paper Stars ranking: #1288

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Johannes Kepler University of LinzLinz · Austria2006–2026 · 176 papersEmployment since 2006 · Head, Institute for Machine Learningcurrent🏢NXAI GmbHLinz · Austria2024–2026 · 15 paperscurrent🏢Linz Center of MechatronicsLinz · Austria2024–2026 · 11 paperscurrent🔬Institute of Advanced Research in Artificial IntelligenceVienna · Austria2021–2024 · 20 papers🎓Technical University of MunichMunich · Germany1986–2003 · 10 papersEducation 1986–1991Education 1994–1999Employment🎓Technische Universität BerlinBerlin · Germany2002–2008 · 9 papers🏥Charité - Universitätsmedizin BerlinBerlin · Germany2006–2011 · 4 papers🎓University of Colorado BoulderBoulder · United States2000–2002 · 4 papers🏢JanssenBeerse · Belgium2007–2011 · 3 papers🏛️Bernstein Center for Computational Neuroscience BerlinBerlin · Germany2006–2007 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 13 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 1 workArts and Humanities · 1 workLanguage and Linguistics · 1 work

 Works by year

2020s

20241 paper

2010s

20151 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) (2015 · 2,314 citations)
    ReLU units output only non-negative values, so their average activation sits above zero and acts as a hidden bias for the next layer.
  2. xLSTM: Extended Long Short-Term Memory (2024 · 296 citations)
    The authors examine whether the classic LSTM recurrent network, which has been displaced by Transformers, can compete with modern large language models.

 Co-authors here

1 co-author with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 232 times (of the 149,439 papers whose bibliographies we read); 26 citing papers with a page here →.

Updated

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