---
title: "Alex Graves — all works — Elamur Research"
description: "All 72 works of Alex Graves 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/alex-graves/works/"
---
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# Alex Graves — all works

72 works · [← Alex Graves](https://md.research.elamur.ai/free/en/authors/alex-graves/)

1. **[Speech recognition with deep recurrent neural networks ↗](https://doi.org/10.1109/icassp.2013.6638947) IEEE International Conference on Acoustics Speech and Signal Processing · no summary yet**Alex Graves, Abdelrahman Mohamed, Geoffrey E. Hinton*2013 · 8,998 citations*
2. **[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*
3. **[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*
4. [**WaveNet: A Generative Model for Raw Audio arXiv:1609.03499**Aaron van den Oord, Sander Dieleman, Heiga Zen, et al.*2016 · 5,269 citations*](https://md.research.elamur.ai/free/en/papers/oord-2016-wavenet-generative-model-raw-audio/)
5. **[Playing Atari with Deep Reinforcement Learning ↗](https://arxiv.org/abs/1312.5602) arXiv:1312.5602 · no summary yet**Volodymyr Mnih et al.*2013 · 5,030 citations*
6. **[Supervised Sequence Labelling with Recurrent Neural Networks ↗](https://doi.org/10.1007/978-3-642-24797-2) Studies in computational intelligence · no summary yet**Alex Graves*2012 · 3,172 citations*
7. **[Recurrent Models of Visual Attention ↗](https://arxiv.org/abs/1406.6247) arXiv (Cornell University) · no summary yet**Volodymyr Mnih et al.*2014 · 2,696 citations*
8. **[Long Short-Term Memory ↗](https://doi.org/10.1007/978-3-642-24797-2_4) Studies in computational intelligence · no summary yet**Alex Graves*2012 · 2,425 citations*
9. **[Conditional Image Generation with PixelCNN Decoders ↗](https://arxiv.org/abs/1606.05328) arXiv (Cornell University) · no summary yet**Aäron van den Oord et al.*2016 · 1,969 citations*
10. **[Asynchronous Methods for Deep Reinforcement Learning ↗](https://arxiv.org/abs/1602.01783) arXiv:1602.01783 · ICML 2016 · no summary yet**Volodymyr Mnih et al.*2016 · 1,955 citations*
11. **[Towards End-To-End Speech Recognition with Recurrent Neural Networks ↗](https://openalex.org/W2102113734) no summary yet**Alex Graves, Navdeep Jaitly*2014 · 1,826 citations*
12. **[Hybrid speech recognition with Deep Bidirectional LSTM ↗](https://doi.org/10.1109/asru.2013.6707742) IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU) · no summary yet**Alex Graves, Navdeep Jaitly, Abdelrahman Mohamed*2013 · 1,819 citations*
13. **[Hybrid computing using a neural network with dynamic external memory ↗](https://doi.org/10.1038/nature20101) Nature 538:471–476 · no summary yet**Alex Graves et al.*2016 · 1,553 citations*
14. [**Sequence Transduction with Recurrent Neural Networks arXiv:1211.3711**Alex Graves*2012 · 1,433 citations*](https://md.research.elamur.ai/free/en/papers/graves-2012-sequence-transduction-recurrent-neural-networks/)
15. **[Practical Variational Inference for Neural Networks ↗](https://openalex.org/W2108677974) no summary yet**Alex Graves*2011 · 1,045 citations*
16. **[DRAW: A Recurrent Neural Network For Image Generation ↗](https://arxiv.org/abs/1502.04623) arXiv:1502.04623 · no summary yet**Karol Gregor et al.*2015 · 947 citations*
17. **[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*
18. **[Offline Arabic Handwriting Recognition with Multidimensional Recurrent Neural Networks ↗](https://doi.org/10.1007/978-1-4471-4072-6_12) Springer eBooks · no summary yet**Alex Graves*2012 · 686 citations*
19. **[Noisy Networks for Exploration ↗](https://arxiv.org/abs/1706.10295) arXiv (Cornell University) · no summary yet**Meire Fortunato et al.*2017 · 570 citations*
20. **[Supervised Sequence Labelling ↗](https://doi.org/10.1007/978-3-642-24797-2_2) Studies in computational intelligence · no summary yet**Alex Graves*2012 · 562 citations*
21. **[Adaptive Computation Time for Recurrent Neural Networks ↗](https://arxiv.org/abs/1603.08983) arXiv:1603.08983 · no summary yet**Alex Graves*2016 · 456 citations*
22. **[Neural Turing Machines ↗](https://arxiv.org/abs/1410.5401) arXiv:1410.5401 · no summary yet**Alex Graves, Greg Wayne, Ivo Danihelka*2014 · 430 citations*
23. **[Parallel WaveNet: Fast High-Fidelity Speech Synthesis ↗](https://arxiv.org/abs/1711.10433) arXiv (Cornell University) · no summary yet**Aäron van den Oord et al.*2017 · 403 citations*
24. **[Grid Long Short-Term Memory ↗](https://arxiv.org/abs/1507.01526) arXiv (Cornell University) · no summary yet**Nal Kalchbrenner, Ivo Danihelka, Alex Graves*2015 · 306 citations*
25. **[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*
26. **[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*
27. **[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*
28. **[Neural Networks ↗](https://doi.org/10.1007/978-3-642-24797-2_3) Studies in computational intelligence · no summary yet**Alex Graves*2012 · 225 citations*
29. **[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*
30. **[Learning acoustic frame labeling for speech recognition with recurrent neural networks ↗](https://doi.org/10.1109/icassp.2015.7178778) IEEE International Conference on Acoustics Speech and Signal Processing · no summary yet**Haşim Sak et al.*2015 · 179 citations*
31. **[Connectionist Temporal Classification ↗](https://doi.org/10.1007/978-3-642-24797-2_7) Studies in computational intelligence · no summary yet**Alex Graves*2012 · 166 citations*
32. **[Automatic diacritization of Arabic text using recurrent neural networks ↗](https://doi.org/10.1007/s10032-015-0242-2) International Journal on Document Analysis and Recognition (IJDAR) · no summary yet**Gheith Ali Abandah et al.*2015 · 143 citations*
33. **[On-line emotion recognition in a 3-D activation-valence-time continuum using acoustic and linguistic cues ↗](https://doi.org/10.1007/s12193-009-0032-6) Journal on Multimodal User Interfaces · no summary yet**Florian Eyben et al.*2009 · 140 citations*
34. **[Automated Curriculum Learning for Neural Networks ↗](https://arxiv.org/abs/1704.03003) arXiv:1704.03003 · no summary yet**Alex Graves et al.*2017 · 111 citations*
35. **[Associative Long Short-Term Memory ↗](https://arxiv.org/abs/1602.03032) arXiv (Cornell University) · no summary yet**Ivo Danihelka et al.*2016 · 110 citations*
36. **[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*
37. **[Decoupled Neural Interfaces using Synthetic Gradients ↗](https://arxiv.org/abs/1608.05343) arXiv (Cornell University) · no summary yet**Max Jaderberg et al.*2016 · 100 citations*
38. **[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*
39. **[Memory-Efficient Backpropagation Through Time ↗](https://arxiv.org/abs/1606.03401) arXiv (Cornell University) · no summary yet**Audrūnas Gruslys et al.*2016 · 91 citations*
40. **[Strategic Attentive Writer for Learning Macro-Actions ↗](https://arxiv.org/abs/1606.04695) arXiv (Cornell University) · no summary yet**Alexander - et al.*2016 · 89 citations*
41. **[Bidirectional LSTM Networks for Context-Sensitive Keyword Detection in a Cognitive Virtual Agent Framework ↗](https://doi.org/10.1007/s12559-010-9041-8) Cognitive Computation · no summary yet**Martin Wöllmer et al.*2010 · 82 citations*
42. **[Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes ↗](https://arxiv.org/abs/1610.09027) arXiv (Cornell University) · no summary yet**Jack W. Rae et al.*2016 · 81 citations*
43. **[Robust discriminative keyword spotting for emotionally colored spontaneous speech using bidirectional LSTM networks ↗](https://doi.org/10.1109/icassp.2009.4960492) IEEE International Conference on Acoustics Speech and Signal Processing · no summary yet**Martin Wöllmer et al.*2009 · 67 citations*
44. **[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*
45. **[Video Pixel Networks ↗](https://arxiv.org/abs/1610.00527) arXiv (Cornell University) · no summary yet**Nal Kalchbrenner et al.*2016 · 48 citations*
46. **[From speech to letters - using a novel neural network architecture for grapheme based ASR ↗](https://doi.org/10.1109/asru.2009.5373257) IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU) · no summary yet**Florian Eyben et al.*2009 · 44 citations*
47. **[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*
48. **[Stochastic Backpropagation through Mixture Density Distributions ↗](https://arxiv.org/abs/1607.05690) arXiv (Cornell University) · no summary yet**Alex Graves*2016 · 33 citations*
49. **[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*
50. **[Neural Networks for Handwriting Recognition ↗](https://doi.org/10.1007/978-3-642-24049-2_2) Studies in computational intelligence · no summary yet**Marcus Liwicki, Alex Graves, Horst Bunke A*2012 · 25 citations*
51. **[A Tandem BLSTM-DBN Architecture for Keyword Spotting with Enhanced Context Modeling ↗](https://openalex.org/W2748309409) no summary yet**Martin Wöllmer et al.*2009 · 22 citations*
52. **[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*
53. **[Bayesian Flow Networks ↗](https://arxiv.org/abs/2308.07037) arXiv (Cornell University) · no summary yet**Alex Graves et al.*2023 · 16 citations*
54. **[The Kanerva Machine: A Generative Distributed Memory ↗](https://arxiv.org/abs/1804.01756) arXiv (Cornell University) · no summary yet**Yan Xiang Wu et al.*2018 · 16 citations*
55. **[Associative Compression Networks for Representation Learning ↗](https://arxiv.org/abs/1804.02476) arXiv (Cornell University) · no summary yet**Alex Graves, Jacob Menick, Aäron van den Oord*2018 · 14 citations*
56. **[Protein sequence modelling with Bayesian flow networks ↗](https://doi.org/10.1038/s41467-025-58250-2) Nature Communications · no summary yet**Timothy J. Atkinson et al.*2025 · 13 citations*
57. **[Introduction ↗](https://doi.org/10.1007/978-3-642-24797-2_1) Studies in computational intelligence · no summary yet**Alex Graves*2012 · 13 citations*
58. **[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*
59. **[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*
60. **[Hierarchical Subsampling Networks ↗](https://doi.org/10.1007/978-3-642-24797-2_9) Studies in computational intelligence · no summary yet**Alex Graves*2012 · 11 citations*
61. **[Improving Keyword Spotting with a Tandem BLSTM-DBN Architecture ↗](https://doi.org/10.1007/978-3-642-11509-7_9) Lecture notes in computer science · no summary yet**Martin Wöllmer et al.*2010 · 11 citations*
62. **[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*
63. **[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*
64. **[Practical Real Time Recurrent Learning with a Sparse Approximation ↗](https://openalex.org/W3132106315) International Conference on Learning Representations · no summary yet**Jacob Menick et al.*2021 · 4 citations*
65. **[A Practical Sparse Approximation for Real Time Recurrent Learning ↗](https://arxiv.org/abs/2006.07232) arXiv (Cornell University) · no summary yet**Jacob Menick et al.*2020 · 4 citations*
66. **[AbBFN2: A flexible antibody foundation model based on Bayesian Flow Networks ↗](https://doi.org/10.1101/2025.04.29.651170) bioRxiv (Cold Spring Harbor Laboratory) · no summary yet**Bora Guloglu et al.*2025 · 2 citations*
67. **[A Comparison of Network Architectures ↗](https://doi.org/10.1007/978-3-642-24797-2_5) Studies in computational intelligence · no summary yet**Alex Graves*2012 · 2 citations*
68. **[Teaching Computers to Read and Write: Recent Advances in Cursive Handwriting Recognition and Synthesis with Recurrent Neural Networks. ↗](https://openalex.org/W2399307023) no summary yet**Alex Graves*2014 · 1 citation*
69. **[Multidimensional Networks ↗](https://doi.org/10.1007/978-3-642-24797-2_8) Studies in computational intelligence · no summary yet**Alex Graves*2012 · 1 citation*
70. **[Plenary talks: Frontiers in recurrent neural network research ↗](https://doi.org/10.1109/ijcnn.2017.7965820) no summary yet**Alex Graves*2017*
71. **[Hidden Markov Model Hybrids ↗](https://doi.org/10.1007/978-3-642-24797-2_6) Studies in computational intelligence · no summary yet**Alex Graves*2012*
72. **[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*