🧑‍🔬 Klaus Greff

🏛️ Affiliations

🏢GoogleMountain View · United States2020–2023 · 9 papers🔬Dalle Molle Institute for Artificial Intelligence ResearchLugano · Switzerland2012–2019 · 8 papersEmployment since 2012🎓University of Applied Sciences and Arts of Southern SwitzerlandManno · Switzerland2015–2018 · 5 papers🎓Università della Svizzera italianaLugano · Switzerland2015–2018 · 5 papers🏢Google DeepMindLondon · United Kingdom2023–2024 · 3 papers🎓University of KaiserslauternKaiserslautern · Germany2012 · 2 papers

🏛️Google DeepmindBerlin · Germany2020Employment since 2020

🏛️IDSIALugano · Switzerland2012–2018Employment 2012–2018 · PhD Student

🏛️Technische Universität Kaiserslautern Fachbereich InformatikKaiserslautern · Germany2004–2010Education 2004–2010 · Computer Science Diploma

🏛️Technische Universität Kaiserslautern Fachbereich InformatikGermany2004–2010Education 2004–2010

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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.

📅 Works by year

2010s

📄 Papers

The most cited first (OpenAlex and our library).

1. LSTM: A Search Space Odyssey (2015 · 7,008 citations)
   Since its introduction in the mid-1990s, LSTM has accumulated many architectural modifications, but no one had systematically tested which of its parts actually matter.
2. Highway Networks (2015 · 680 citations)
   Deeper neural networks tend to perform better, but plain feedforward stacks get much harder to train with gradient descent as layers are added, even with careful variance-preserving initialization.

All works

7 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. LSTM: A Search Space OdysseyIEEE Transactions on Neural Networks and Learning SystemsKlaus Greff, Rupesh Kumar Srivastava, Jan Koutnik, et al.2015 · 7,008 citations
2. Gemma 3 Technical Report ↗arXiv:2503.19786 · no summary yetGemma Team et al.2025 · 1,147 citations
3. PaLM-E: An Embodied Multimodal Language Model ↗arXiv:2303.03378 · no summary yetDanny Driess et al.2023 · 700 citations
4. Highway NetworksarXiv:1505.00387Rupesh Kumar Srivastava, Klaus Greff, Jürgen Schmidhuber2015 · 680 citations
5. Kubric: A scalable dataset generator ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetKlaus Greff et al.2022 · 248 citations
6. Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetMehdi S. M. Sajjadi et al.2022 · 127 citations
7. Scaling 4D Representations ↗arXiv (Cornell University) · no summary yetJoão Carreira et al.2024 · 4 citations

🤝 Co-authors here

3 co-authors with a page, the most papers together first.

• Jurgen Schmidhuber ×2
• Rupesh Kumar Srivastava ×2
• Jan Koutnik

Venues

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

• IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings ×2
• IEEE Transactions on Neural Networks and Learning Systems: IEEE Transactions on Neural Networks and Learning Systems 2015

🔗 Cited by

Papers of our library cite their works 1,759 times (of the 149,439 papers whose bibliographies we read); 452 citing papers with a page here →.

Updated 2 November 2026

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