---
title: "Jurgen Schmidhuber — all works — Elamur Research"
description: "All 32 works of Jurgen Schmidhuber in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/jurgen-schmidhuber/works/"
---
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# Jurgen Schmidhuber — all works

32 works · [← Jurgen Schmidhuber](https://md.research.elamur.ai/free/en/authors/jurgen-schmidhuber/)

1. **[Deep learning in neural networks: An overview ↗](https://doi.org/10.1016/j.neunet.2014.09.003) Neural Networks · no summary yet**Jürgen Schmidhuber*2014 · 18,565 citations*
2. **[LSTM: A Search Space Odyssey](https://md.research.elamur.ai/free/en/papers/greff-2015-lstm-search-space-odyssey/) [IEEE Transactions on Neural Networks and Learning Systems](https://md.research.elamur.ai/free/en/venues/ieee-transactions-on-neural-networks-and-learning-systems/)**Klaus Greff, Rupesh Kumar Srivastava, Jan Koutnik, et al.*2015 · 7,008 citations*
3. **[Framewise phoneme classification with bidirectional LSTM and other neural network architectures ↗](https://doi.org/10.1016/j.neunet.2005.06.042) Neural Networks · no summary yet**Alex Graves, Jürgen Schmidhuber*2005 · 6,015 citations*
4. **[Connectionist temporal classification ↗](https://doi.org/10.1145/1143844.1143891) International Conference on Machine Learning · no summary yet**Alex Graves et al.*2006 · 5,379 citations*
5. **[Bidirectional LSTM Networks for Improved Phoneme Classification and Recognition ↗](https://doi.org/10.1007/11550907_126) Lecture notes in computer science · no summary yet**Alex Graves, Santiago Fernández, Jürgen Schmidhuber*2005 · 928 citations*
6. [**Highway Networks arXiv:1505.00387**Rupesh Kumar Srivastava, Klaus Greff, Jürgen Schmidhuber*2015 · 680 citations*](https://md.research.elamur.ai/free/en/papers/srivastava-2015-highway-networks/)
7. **[Multi-dimensional Recurrent Neural Networks ↗](https://doi.org/10.1007/978-3-540-74690-4_56) Lecture notes in computer science · no summary yet**Alex Graves, Santiago Fernández, Jürgen Schmidhuber*2007 · 297 citations*
8. **[An Application of Recurrent Neural Networks to Discriminative Keyword Spotting ↗](https://doi.org/10.1007/978-3-540-74695-9_23) Lecture notes in computer science · no summary yet**Santiago Fernández, Alex Graves, Jürgen Schmidhuber*2007 · 259 citations*
9. **[Parameter-exploring policy gradients ↗](https://doi.org/10.1016/j.neunet.2009.12.004) Neural Networks · no summary yet**Frank Sehnke et al.*2009 · 246 citations*
10. **[Unconstrained On-line Handwriting Recognition with Recurrent Neural Networks ↗](https://openalex.org/W2167898728) Bern Open Repository and Information System (University of Bern) · no summary yet**Alex Graves et al.*2007 · 224 citations*
11. [**Recurrent Highway Networks arXiv:1607.03474**Julian Georg Zilly, Rupesh Kumar Srivastava, Jan Koutnik, et al.*2016 · 147 citations*](https://md.research.elamur.ai/free/en/papers/zilly-2016-recurrent-highway-networks/)
12. **[The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers ↗](https://aclanthology.org/2021.emnlp-main.49/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yet**Róbert Csordás, Kazuki Irie, Juergen Schmidhuber*2021 · 130 citations*
13. [**Linear Transformers Are Secretly Fast Weight Programmers arXiv:2102.11174**Imanol Schlag, Kazuki Irie, Jurgen Schmidhuber*2021 · 111 citations*](https://md.research.elamur.ai/free/en/papers/schlag-2021-linear-transformers-secretly-fast-weight/)
14. **[Biologically Plausible Speech Recognition with LSTM Neural Nets ↗](https://doi.org/10.1007/978-3-540-27835-1_10) Lecture notes in computer science · no summary yet**Alex Graves et al.*2004 · 105 citations*
15. **[Sequence labelling in structured domains with hierarchical recurrent neural networks ↗](http://mediatum.ub.tum.de/node?id=1289940) no summary yet**Santiago Fernández, Alex Graves, Jürgen Schmidhuber*2007 · 95 citations*
16. [**Language Agents as Optimizable Graphs arXiv:2402.16823**Mingchen Zhuge, Wenyi Wang, Louis Kirsch, et al.*2024 · 91 citations*](https://md.research.elamur.ai/free/en/papers/zhuge-2024-language-agents-optimizable-graphs/)
17. **[Stochastic search using the natural gradient ↗](https://doi.org/10.1145/1553374.1553522) International Conference on Machine Learning · no summary yet**Yi Sun et al.*2009 · 81 citations*
18. **[Policy Gradients with Parameter-Based Exploration for Control ↗](https://doi.org/10.1007/978-3-540-87536-9_40) Lecture notes in computer science · no summary yet**Frank Sehnke et al.*2008 · 64 citations*
19. **[Agent-as-a-Judge: Evaluate Agents with Agents ↗](https://arxiv.org/abs/2410.10934) arXiv:2410.10934 · no summary yet**Mingchen Zhuge et al.*2024 · 50 citations*
20. **[Facial Expression Recognition with Recurrent Neural Networks ↗](http://mediatum.ub.tum.de/node?id=1289310) no summary yet**Alex Graves et al.*2008 · 36 citations*
21. **[Phoneme recognition in TIMIT with BLSTM-CTC ↗](https://arxiv.org/abs/0804.3269) arXiv (Cornell University) · no summary yet**Santiago Fernández, Alex Graves, Jürgen Schmidhuber*2008 · 31 citations*
22. [**ScholarChemQA: Unveiling the Power of Language Models in Chemical Research Question Answering arXiv:2407.16931**Xiuying Chen, Tairan Wang, Taicheng Guo, et al.*2024 · 19 citations*](https://md.research.elamur.ai/free/en/papers/chen-2024-scholarchemqa-unveiling-power-language-models/)
23. **[On Fast Deep Nets for AGI Vision ↗](https://doi.org/10.1007/978-3-642-22887-2_25) Lecture notes in computer science · no summary yet**Jürgen Schmidhuber et al.*2011 · 19 citations*
24. **[Large Language Model Programs ↗](https://arxiv.org/abs/2305.05364) arXiv:2305.05364 · no summary yet**Imanol Schlag et al.*2023 · 18 citations*
25. **[Compete to Compute ↗](https://doi.org/10.71910/supsi.6577) neural information processing systems · no summary yet**Rupesh K. Srivastava et al.*2013 · 15 citations*
26. **[Multimodal Parameter-exploring Policy Gradients ↗](https://doi.org/10.1109/icmla.2010.24) International Conference on Machine Learning and Applications · no summary yet**Frank Sehnke et al.*2010 · 13 citations*
27. **[MoEUT: Mixture-of-Experts Universal Transformers ↗](https://doi.org/10.52202/079017-0897) neural information processing systems · no summary yet**Róbert Csordás et al.*2024 · 12 citations*
28. **[Rapid Retraining on Speech Data with LSTM Recurrent Networks. ↗](https://doi.org/10.71910/supsi.6964) no summary yet**Alex Graves, Nicole Beringer, Jürgen Schmidhuber*2005 · 12 citations*
29. **[Classifying Unprompted Speech by Retraining LSTM Nets ↗](https://doi.org/10.1007/11550822_90) Lecture notes in computer science · no summary yet**Nicole Beringer et al.*2005 · 11 citations*
30. **[Beyond Outlining: Heterogeneous Recursive Planning for Adaptive Long-form Writing with Language Models](https://md.research.elamur.ai/free/en/papers/xiong-2025-beyond-outlining-heterogeneous-recursive-planning/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Ruibin Xiong, Yimeng Chen, Dmitrii Khizbullin, et al.*2025 · 8 citations*
31. **[A Comparison Between Spiking and Differentiable Recurrent Neural Networks on Spoken Digit Recognition ↗](http://mediatum.ub.tum.de/node?id=1292311) no summary yet**Alex Graves, Nicole Beringer, Jürgen Schmidhuber*2004 · 6 citations*
32. **[Comparing LSTM Recurrent Networks with Spiking Recurrent Networks on the Recognition of Spoken Digits. ↗](https://doi.org/10.71910/supsi.7053) no summary yet**Alex Graves, Douglas Eck, Jürgen Schmidhuber*2003*