🧑‍🔬 Jurgen Schmidhuber — all works

33 works · ← Jurgen Schmidhuber

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
26. Compete to Compute ↗neural information processing systems · no summary yetRupesh K. Srivastava et al.2013 · 15 citations
27. Multimodal Parameter-exploring Policy Gradients ↗International Conference on Machine Learning and Applications · no summary yetFrank Sehnke et al.2010 · 13 citations
28. MoEUT: Mixture-of-Experts Universal Transformers ↗neural information processing systems · no summary yetRóbert Csordás et al.2024 · 12 citations
29. Rapid Retraining on Speech Data with LSTM Recurrent Networks. ↗no summary yetAlex Graves, Nicole Beringer, Jürgen Schmidhuber2005 · 12 citations
30. Classifying Unprompted Speech by Retraining LSTM Nets ↗Lecture notes in computer science · no summary yetNicole Beringer et al.2005 · 11 citations
31. Beyond Outlining: Heterogeneous Recursive Planning for Adaptive Long-form Writing with Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Ruibin Xiong, Yimeng Chen, Dmitrii Khizbullin, et al.2025 · 8 citations
32. A Comparison Between Spiking and Differentiable Recurrent Neural Networks on Spoken Digit Recognition ↗no summary yetAlex Graves, Nicole Beringer, Jürgen Schmidhuber2004 · 6 citations
33. Comparing LSTM Recurrent Networks with Spiking Recurrent Networks on the Recognition of Spoken Digits. ↗no summary yetAlex Graves, Douglas Eck, Jürgen Schmidhuber2003

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