🧑‍🔬 Jurgen Schmidhuber

🏛️ Affiliations

🎓King Abdullah University of Science and TechnologyJeddah · Saudi Arabia2020–2026 · 43 paperscurrent🔬Dalle Molle Institute for Artificial Intelligence ResearchLugano · Switzerland1995–2025 · 364 papersEmployment · scientific director🎓Università della Svizzera italianaLugano · Switzerland2007–2025 · 158 papers🎓University of Applied Sciences and Arts of Southern SwitzerlandManno · Switzerland2010–2025 · 145 papers🎓Technical University of MunichMunich · Germany1989–2013 · 77 papers🎓University of Colorado BoulderBoulder · United States1991–2002 · 8 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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

2020s

2010s

📄 Papers

The most cited first (OpenAlex and our library).

1. 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.
2. ScholarChemQA: Unveiling the Power of Language Models in Chemical Research Question Answering (2024 · 19 citations)
   Chemistry has lacked QA benchmarks built from real research. Existing chemical sets such as KGQA rely on templates over a knowledge graph and mostly test basic concepts. The authors address this gap with ScholarChemQA. They mined chemistry papers whose titles are phrased as questions and treated each abstract as the…
3. Beyond Outlining: Heterogeneous Recursive Planning for Adaptive Long-form Writing with Language Models (2025 · 8 citations)
   Most LLM writing agents first draft a fixed outline and then fill it in. This makes it hard to change course mid-writing, for example when new information or a plot problem appears. The authors present WriteHERE, which treats long-form writing as a planning problem inspired by Hierarchical Task Network planning. A…

All works

33 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. Deep learning in neural networks: An overview ↗Neural Networks · no summary yetJürgen Schmidhuber2014 · 18,565 citations
2. LSTM: A Search Space Odyssey ↗arXiv:1503.04069 · IEEE Transactions on Neural Networks and Learning Systems ( Volume: 28, Issue: 10, Oct. 2017 ) Pages: 2222 - 2232 · no summary yetKlaus Greff et al.2015 · 7,008 citations
3. Framewise phoneme classification with bidirectional LSTM and other neural network architectures ↗Neural Networks · no summary yetAlex Graves, Jürgen Schmidhuber2005 · 6,015 citations
4. Connectionist temporal classification ↗International Conference on Machine Learning · no summary yetAlex Graves et al.2006 · 5,379 citations
5. Bidirectional LSTM Networks for Improved Phoneme Classification and Recognition ↗Lecture notes in computer science · no summary yetAlex Graves, Santiago Fernández, Jürgen Schmidhuber2005 · 928 citations
6. Highway NetworksarXiv:1505.00387Rupesh Kumar Srivastava, Klaus Greff, Jürgen Schmidhuber2015 · 680 citations
7. Multi-dimensional Recurrent Neural Networks ↗Lecture notes in computer science · no summary yetAlex Graves, Santiago Fernández, Jürgen Schmidhuber2007 · 297 citations
8. An Application of Recurrent Neural Networks to Discriminative Keyword Spotting ↗Lecture notes in computer science · no summary yetSantiago Fernández, Alex Graves, Jürgen Schmidhuber2007 · 259 citations
9. Parameter-exploring policy gradients ↗Neural Networks · no summary yetFrank Sehnke et al.2009 · 246 citations
10. Unconstrained On-line Handwriting Recognition with Recurrent Neural Networks ↗Bern Open Repository and Information System (University of Bern) · no summary yetAlex Graves et al.2007 · 224 citations
11. Recurrent Highway Networks ↗arXiv:1607.03474 · no summary yetJulian Georg Zilly et al.2016 · 147 citations
12. The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers ↗Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yetRóbert Csordás, Kazuki Irie, Juergen Schmidhuber2021 · 130 citations
13. Multi-column Deep Neural Networks for Image Classification ↗arXiv:1202.2745 · CVPR 2012, p. 3642-3649 · no summary yetDan Cireşan, Ueli Meier, Juergen Schmidhuber2012 · 117 citations
14. Linear Transformers Are Secretly Fast Weight Programmers ↗arXiv:2102.11174 · no summary yetImanol Schlag, Kazuki Irie, Jurgen Schmidhuber2021 · 111 citations
15. Biologically Plausible Speech Recognition with LSTM Neural Nets ↗Lecture notes in computer science · no summary yetAlex Graves et al.2004 · 105 citations
16. Sequence labelling in structured domains with hierarchical recurrent neural networks ↗no summary yetSantiago Fernández, Alex Graves, Jürgen Schmidhuber2007 · 95 citations
17. Language Agents as Optimizable Graphs ↗arXiv:2402.16823 · no summary yetMingchen Zhuge et al.2024 · 91 citations
18. Stochastic search using the natural gradient ↗International Conference on Machine Learning · no summary yetYi Sun et al.2009 · 81 citations
19. Policy Gradients with Parameter-Based Exploration for Control ↗Lecture notes in computer science · no summary yetFrank Sehnke et al.2008 · 64 citations
20. Agent-as-a-Judge: Evaluate Agents with Agents ↗arXiv:2410.10934 · no summary yetMingchen Zhuge et al.2024 · 50 citations
21. Facial Expression Recognition with Recurrent Neural Networks ↗no summary yetAlex Graves et al.2008 · 36 citations
22. Phoneme recognition in TIMIT with BLSTM-CTC ↗arXiv (Cornell University) · no summary yetSantiago Fernández, Alex Graves, Jürgen Schmidhuber2008 · 31 citations
23. ScholarChemQA: Unveiling the Power of Language Models in Chemical Research Question AnsweringarXiv:2407.16931Xiuying Chen, Tairan Wang, Taicheng Guo, et al.2024 · 19 citations
24. On Fast Deep Nets for AGI Vision ↗Lecture notes in computer science · no summary yetJürgen Schmidhuber et al.2011 · 19 citations
25. Large Language Model Programs ↗arXiv:2305.05364 · no summary yetImanol Schlag et al.2023 · 18 citations

See all 33 works by Jurgen Schmidhuber →

🤝 Co-authors here

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

• Mingchen Zhuge ×2
• Dmitrii Khizbullin
• Haoyang Li
• Taicheng Guo
• Xiangliang Zhang
• Xin Gao
• Xiuying Chen
• Yimeng Chen

Venues

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

• Lecture notes in computer science ×7
• Neural Networks ×3
• Conference on Empirical Methods in Natural Language Processing (EMNLP) ×2: EMNLP 2025
• International Conference on Machine Learning ×2
• neural information processing systems ×2
• Bern Open Repository and Information System (University of Bern)
• International Conference on Machine Learning and Applications

🔗 Cited by

Papers of our library cite their works 1,218 times (of the 149,439 papers whose bibliographies we read); 155 citing papers with a page here →.

Updated 31 October 2026

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