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ORCIDAlex Graves
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- affiliation: Google DeepMind, London, UK
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2020 – today
- 2023
[i28]Alex Graves, Rupesh Kumar Srivastava, Timothy Atkinson, Faustino J. Gomez:
Bayesian Flow Networks. CoRR abs/2308.07037 (2023)- 2021
- [c42]Jacob Menick, Erich Elsen, Utku Evci, Simon Osindero, Karen Simonyan, Alex Graves:
Practical Real Time Recurrent Learning with a Sparse Approximation. ICLR 2021 - 2020
- [i27]Jacob Menick, Erich Elsen, Utku Evci, Simon Osindero, Karen Simonyan, Alex Graves:
A Practical Sparse Approximation for Real Time Recurrent Learning. CoRR abs/2006.07232 (2020)
2010 – 2019
- 2018
- [c41]Meire Fortunato, Mohammad Gheshlaghi Azar, Bilal Piot, Jacob Menick, Matteo Hessel, Ian Osband, Alex Graves, Volodymyr Mnih, Rémi Munos, Demis Hassabis, Olivier Pietquin, Charles Blundell, Shane Legg:
Noisy Networks For Exploration. ICLR (Poster) 2018 - [c40]Yan Wu, Greg Wayne, Alex Graves, Timothy P. Lillicrap:
The Kanerva Machine: A Generative Distributed Memory. ICLR (Poster) 2018 - [c39]Aäron van den Oord, Yazhe Li, Igor Babuschkin, Karen Simonyan, Oriol Vinyals, Koray Kavukcuoglu, George van den Driessche, Edward Lockhart, Luis C. Cobo, Florian Stimberg, Norman Casagrande, Dominik Grewe, Seb Noury, Sander Dieleman, Erich Elsen, Nal Kalchbrenner, Heiga Zen, Alex Graves, Helen King, Tom Walters, Dan Belov, Demis Hassabis:
Parallel WaveNet: Fast High-Fidelity Speech Synthesis. ICML 2018: 3915-3923 - [i26]Yan Wu, Greg Wayne, Alex Graves, Timothy P. Lillicrap:
The Kanerva Machine: A Generative Distributed Memory. CoRR abs/1804.01756 (2018) - [i25]Alex Graves, Jacob Menick, Aäron van den Oord:
Associative Compression Networks for Representation Learning. CoRR abs/1804.02476 (2018) - 2017
- [c38]Alex Graves, Marc G. Bellemare, Jacob Menick, Rémi Munos, Koray Kavukcuoglu:
Automated Curriculum Learning for Neural Networks. ICML 2017: 1311-1320 - [c37]Max Jaderberg, Wojciech Marian Czarnecki, Simon Osindero, Oriol Vinyals, Alex Graves, David Silver, Koray Kavukcuoglu:
Decoupled Neural Interfaces using Synthetic Gradients. ICML 2017: 1627-1635 - [c36]Nal Kalchbrenner, Aäron van den Oord, Karen Simonyan, Ivo Danihelka, Oriol Vinyals, Alex Graves, Koray Kavukcuoglu:
Video Pixel Networks. ICML 2017: 1771-1779 - [c35]Alex Graves:
Plenary talks: Frontiers in recurrent neural network research. IJCNN 2017 - [i24]Alex Graves, Marc G. Bellemare, Jacob Menick, Rémi Munos, Koray Kavukcuoglu:
Automated Curriculum Learning for Neural Networks. CoRR abs/1704.03003 (2017) - [i23]Meire Fortunato, Mohammad Gheshlaghi Azar, Bilal Piot, Jacob Menick, Ian Osband, Alex Graves, Vlad Mnih, Rémi Munos, Demis Hassabis, Olivier Pietquin, Charles Blundell, Shane Legg:
Noisy Networks for Exploration. CoRR abs/1706.10295 (2017) - [i22]Aäron van den Oord, Yazhe Li, Igor Babuschkin, Karen Simonyan, Oriol Vinyals, Koray Kavukcuoglu, George van den Driessche, Edward Lockhart, Luis C. Cobo, Florian Stimberg, Norman Casagrande, Dominik Grewe, Seb Noury, Sander Dieleman, Erich Elsen, Nal Kalchbrenner, Heiga Zen, Alex Graves, Helen King, Tom Walters, Dan Belov, Demis Hassabis:
Parallel WaveNet: Fast High-Fidelity Speech Synthesis. CoRR abs/1711.10433 (2017) - 2016
- [j8]Alex Graves, Greg Wayne, Malcolm Reynolds, Tim Harley, Ivo Danihelka, Agnieszka Grabska-Barwinska, Sergio Gomez Colmenarejo, Edward Grefenstette, Tiago Ramalho, John P. Agapiou
, Adrià Puigdomènech Badia, Karl Moritz Hermann, Yori Zwols, Georg Ostrovski, Adam Cain, Helen King, Christopher Summerfield, Phil Blunsom, Koray Kavukcuoglu, Demis Hassabis:
Hybrid computing using a neural network with dynamic external memory. Nat. 538(7626): 471-476 (2016) - [c34]Volodymyr Mnih, Adrià Puigdomènech Badia, Mehdi Mirza, Alex Graves, Timothy P. Lillicrap, Tim Harley, David Silver, Koray Kavukcuoglu:
Asynchronous Methods for Deep Reinforcement Learning. ICML 2016: 1928-1937 - [c33]Ivo Danihelka, Greg Wayne, Benigno Uria, Nal Kalchbrenner, Alex Graves:
Associative Long Short-Term Memory. ICML 2016: 1986-1994 - [c32]Alexander Vezhnevets, Volodymyr Mnih, Simon Osindero, Alex Graves, Oriol Vinyals, John P. Agapiou, Koray Kavukcuoglu:
Strategic Attentive Writer for Learning Macro-Actions. NIPS 2016: 3486-3494 - [c31]Jack W. Rae, Jonathan J. Hunt, Ivo Danihelka, Timothy Harley, Andrew W. Senior, Gregory Wayne, Alex Graves, Tim Lillicrap:
Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes. NIPS 2016: 3621-3629 - [c30]Audrunas Gruslys, Rémi Munos, Ivo Danihelka, Marc Lanctot, Alex Graves:
Memory-Efficient Backpropagation Through Time. NIPS 2016: 4125-4133 - [c29]Aäron van den Oord, Nal Kalchbrenner, Lasse Espeholt, Koray Kavukcuoglu, Oriol Vinyals, Alex Graves:
Conditional Image Generation with PixelCNN Decoders. NIPS 2016: 4790-4798 - [c28]Aäron van den Oord, Sander Dieleman, Heiga Zen, Karen Simonyan, Oriol Vinyals, Alex Graves, Nal Kalchbrenner, Andrew W. Senior, Koray Kavukcuoglu:
WaveNet: A Generative Model for Raw Audio. SSW 2016: 125 - [c27]Nal Kalchbrenner, Ivo Danihelka, Alex Graves:
Grid Long Short-Term Memory. ICLR (Poster) 2016 - [i21]Volodymyr Mnih, Adrià Puigdomènech Badia, Mehdi Mirza, Alex Graves, Timothy P. Lillicrap, Tim Harley, David Silver, Koray Kavukcuoglu:
Asynchronous Methods for Deep Reinforcement Learning. CoRR abs/1602.01783 (2016) - [i20]Ivo Danihelka, Greg Wayne, Benigno Uria, Nal Kalchbrenner, Alex Graves:
Associative Long Short-Term Memory. CoRR abs/1602.03032 (2016) - [i19]Alex Graves:
Adaptive Computation Time for Recurrent Neural Networks. CoRR abs/1603.08983 (2016) - [i18]Audrunas Gruslys, Rémi Munos, Ivo Danihelka, Marc Lanctot, Alex Graves:
Memory-Efficient Backpropagation Through Time. CoRR abs/1606.03401 (2016) - [i17]Alexander Vezhnevets, Volodymyr Mnih, John P. Agapiou, Simon Osindero, Alex Graves, Oriol Vinyals, Koray Kavukcuoglu:
Strategic Attentive Writer for Learning Macro-Actions. CoRR abs/1606.04695 (2016) - [i16]Aäron van den Oord, Nal Kalchbrenner, Oriol Vinyals, Lasse Espeholt, Alex Graves, Koray Kavukcuoglu:
Conditional Image Generation with PixelCNN Decoders. CoRR abs/1606.05328 (2016) - [i15]Alex Graves:
Stochastic Backpropagation through Mixture Density Distributions. CoRR abs/1607.05690 (2016) - [i14]Max Jaderberg, Wojciech Marian Czarnecki, Simon Osindero, Oriol Vinyals, Alex Graves, Koray Kavukcuoglu:
Decoupled Neural Interfaces using Synthetic Gradients. CoRR abs/1608.05343 (2016) - [i13]Aäron van den Oord, Sander Dieleman, Heiga Zen, Karen Simonyan, Oriol Vinyals, Alex Graves, Nal Kalchbrenner, Andrew W. Senior, Koray Kavukcuoglu:
WaveNet: A Generative Model for Raw Audio. CoRR abs/1609.03499 (2016) - [i12]Nal Kalchbrenner, Aäron van den Oord, Karen Simonyan, Ivo Danihelka, Oriol Vinyals, Alex Graves, Koray Kavukcuoglu:
Video Pixel Networks. CoRR abs/1610.00527 (2016) - [i11]Jack W. Rae, Jonathan J. Hunt, Tim Harley, Ivo Danihelka, Andrew W. Senior, Greg Wayne, Alex Graves, Timothy P. Lillicrap:
Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes. CoRR abs/1610.09027 (2016) - [i10]Nal Kalchbrenner, Lasse Espeholt, Karen Simonyan, Aäron van den Oord, Alex Graves, Koray Kavukcuoglu:
Neural Machine Translation in Linear Time. CoRR abs/1610.10099 (2016) - 2015
- [j7]Gheith A. Abandah, Alex Graves, Balkees Al-Shagoor, Alaa Arabiyat, Fuad T. Jamour, Majid A. Al-Taee:
Automatic diacritization of Arabic text using recurrent neural networks. Int. J. Document Anal. Recognit. 18(2): 183-197 (2015) - [j6]Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Andrei A. Rusu, Joel Veness, Marc G. Bellemare, Alex Graves, Martin A. Riedmiller, Andreas Fidjeland, Georg Ostrovski, Stig Petersen, Charles Beattie, Amir Sadik, Ioannis Antonoglou, Helen King, Dharshan Kumaran, Daan Wierstra, Shane Legg, Demis Hassabis:
Human-level control through deep reinforcement learning. Nat. 518(7540): 529-533 (2015) - [c26]Hasim Sak, Andrew W. Senior, Kanishka Rao, Ozan Irsoy, Alex Graves, Françoise Beaufays, Johan Schalkwyk:
Learning acoustic frame labeling for speech recognition with recurrent neural networks. ICASSP 2015: 4280-4284 - [c25]Karol Gregor, Ivo Danihelka, Alex Graves, Danilo Jimenez Rezende, Daan Wierstra:
DRAW: A Recurrent Neural Network For Image Generation. ICML 2015: 1462-1471 - [i9]Karol Gregor, Ivo Danihelka, Alex Graves, Daan Wierstra:
DRAW: A Recurrent Neural Network For Image Generation. CoRR abs/1502.04623 (2015) - 2014
- [c24]Alex Graves:
Teaching Computers to Read and Write: Recent Advances in Cursive Handwriting Recognition and Synthesis with Recurrent Neural Networks. CORIA-CIFED 2014 - [c23]Alex Graves, Navdeep Jaitly:
Towards End-To-End Speech Recognition with Recurrent Neural Networks. ICML 2014: 1764-1772 - [c22]Volodymyr Mnih, Nicolas Heess, Alex Graves, Koray Kavukcuoglu:
Recurrent Models of Visual Attention. NIPS 2014: 2204-2212 - [i8]Volodymyr Mnih, Nicolas Heess, Alex Graves, Koray Kavukcuoglu:
Recurrent Models of Visual Attention. CoRR abs/1406.6247 (2014) - [i7]Alex Graves, Greg Wayne, Ivo Danihelka:
Neural Turing Machines. CoRR abs/1410.5401 (2014) - 2013
- [c21]Alex Graves, Navdeep Jaitly, Abdel-rahman Mohamed:
Hybrid speech recognition with Deep Bidirectional LSTM. ASRU 2013: 273-278 - [c20]Alex Graves, Abdel-rahman Mohamed, Geoffrey E. Hinton:
Speech recognition with deep recurrent neural networks. ICASSP 2013: 6645-6649 - [i6]Alex Graves, Abdel-rahman Mohamed, Geoffrey E. Hinton:
Speech Recognition with Deep Recurrent Neural Networks. CoRR abs/1303.5778 (2013) - [i5]Alex Graves:
Generating Sequences With Recurrent Neural Networks. CoRR abs/1308.0850 (2013) - [i4]Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Alex Graves, Ioannis Antonoglou, Daan Wierstra, Martin A. Riedmiller:
Playing Atari with Deep Reinforcement Learning. CoRR abs/1312.5602 (2013) - 2012
- [b2]Alex Graves:
Supervised Sequence Labelling with Recurrent Neural Networks. Studies in Computational Intelligence 385, Springer 2012, ISBN 978-3-642-24796-5, pp. 1-131 - [p1]Marcus Liwicki, Alex Graves, Horst Bunke:
Neural Networks for Handwriting Recognition. Computational Intelligence Paradigms in Advanced Pattern Classification 2012: 5-24 - [i3]Alex Graves:
Sequence Transduction with Recurrent Neural Networks. CoRR abs/1211.3711 (2012) - 2011
- [c19]Jürgen Schmidhuber, Dan C. Ciresan, Ueli Meier, Jonathan Masci, Alex Graves:
On Fast Deep Nets for AGI Vision. AGI 2011: 243-246 - [c18]Alex Graves:
Practical Variational Inference for Neural Networks. NIPS 2011: 2348-2356 - 2010
- [j5]Martin Wöllmer, Florian Eyben, Alex Graves, Björn W. Schuller, Gerhard Rigoll:
Bidirectional LSTM Networks for Context-Sensitive Keyword Detection in a Cognitive Virtual Agent Framework. Cogn. Comput. 2(3): 180-190 (2010) - [j4]Florian Eyben, Martin Wöllmer, Alex Graves, Björn W. Schuller, Ellen Douglas-Cowie, Roddy Cowie:
On-line emotion recognition in a 3-D activation-valence-time continuum using acoustic and linguistic cues. J. Multimodal User Interfaces 3(1-2): 7-19 (2010) - [j3]Frank Sehnke, Christian Osendorfer, Thomas Rückstieß, Alex Graves, Jan Peters, Jürgen Schmidhuber:
Parameter-exploring policy gradients. Neural Networks 23(4): 551-559 (2010) - [c17]Frank Sehnke, Alex Graves, Christian Osendorfer, Jürgen Schmidhuber:
Multimodal Parameter-exploring Policy Gradients. ICMLA 2010: 113-118 - [c16]Florian Eyben, Sebastian Böck, Björn W. Schuller, Alex Graves:
Universal Onset Detection with Bidirectional Long Short-Term Memory Neural Networks. ISMIR 2010: 589-594
2000 – 2009
- 2009
- [j2]Alex Graves, Marcus Liwicki, Santiago Fernández, Roman Bertolami, Horst Bunke, Jürgen Schmidhuber:
A Novel Connectionist System for Unconstrained Handwriting Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 31(5): 855-868 (2009) - [c15]Florian Eyben, Martin Wöllmer, Björn W. Schuller, Alex Graves:
From speech to letters - using a novel neural network architecture for grapheme based ASR. ASRU 2009: 376-380 - [c14]Martin Wöllmer, Florian Eyben, Joseph Keshet, Alex Graves, Björn W. Schuller, Gerhard Rigoll:
Robust discriminative keyword spotting for emotionally colored spontaneous speech using bidirectional LSTM networks. ICASSP 2009: 3949-3952 - [c13]Martin Wöllmer, Florian Eyben, Alex Graves, Björn W. Schuller, Gerhard Rigoll:
Improving Keyword Spotting with a Tandem BLSTM-DBN Architecture. NOLISP 2009: 68-75 - 2008
- [b1]Alex Graves:
Supervised sequence labelling with recurrent neural networks. Technical University Munich, 2008, pp. 1-117 - [c12]Frank Sehnke, Christian Osendorfer, Thomas Rückstieß, Alex Graves, Jan Peters, Jürgen Schmidhuber:
Policy Gradients with Parameter-Based Exploration for Control. ICANN (1) 2008: 387-396 - [c11]Alex Graves, Jürgen Schmidhuber:
Offline Handwriting Recognition with Multidimensional Recurrent Neural Networks. NIPS 2008: 545-552 - [i2]Santiago Fernández, Alex Graves, Jürgen Schmidhuber:
Phoneme recognition in TIMIT with BLSTM-CTC. CoRR abs/0804.3269 (2008) - 2007
- [c10]Alexander Förster, Alex Graves, Jürgen Schmidhuber:
RNN-based Learning of Compact Maps for Efficient Robot Localization. ESANN 2007: 537-542 - [c9]Santiago Fernández, Alex Graves, Jürgen Schmidhuber:
An Application of Recurrent Neural Networks to Discriminative Keyword Spotting. ICANN (2) 2007: 220-229 - [c8]Alex Graves, Santiago Fernández, Jürgen Schmidhuber:
Multi-dimensional Recurrent Neural Networks. ICANN (1) 2007: 549-558 - [c7]Santiago Fernández, Alex Graves, Jürgen Schmidhuber:
Sequence Labelling in Structured Domains with Hierarchical Recurrent Neural Networks. IJCAI 2007: 774-779 - [c6]Alex Graves, Santiago Fernández, Marcus Liwicki, Horst Bunke, Jürgen Schmidhuber:
Unconstrained On-line Handwriting Recognition with Recurrent Neural Networks. NIPS 2007: 577-584 - [i1]Alex Graves, Santiago Fernández, Jürgen Schmidhuber:
Multi-Dimensional Recurrent Neural Networks. CoRR abs/0705.2011 (2007) - 2006
- [c5]Alex Graves, Santiago Fernández, Faustino J. Gomez, Jürgen Schmidhuber:
Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks. ICML 2006: 369-376 - 2005
- [j1]Alex Graves, Jürgen Schmidhuber:
Framewise phoneme classification with bidirectional LSTM and other neural network architectures. Neural Networks 18(5-6): 602-610 (2005) - [c4]Nicole Beringer, Alex Graves, Florian Schiel, Jürgen Schmidhuber:
Classifying Unprompted Speech by Retraining LSTM Nets. ICANN (1) 2005: 575-581 - [c3]Alex Graves, Santiago Fernández, Jürgen Schmidhuber:
Bidirectional LSTM Networks for Improved Phoneme Classification and Recognition. ICANN (2) 2005: 799-804 - 2004
- [c2]Alex Graves, Douglas Eck, Nicole Beringer, Jürgen Schmidhuber:
Biologically Plausible Speech Recognition with LSTM Neural Nets. BioADIT 2004: 127-136 - [c1]Alex Graves, Nicole Beringer, Jürgen Schmidhuber:
A comparison between spiking and differentiable recurrent neural networks on spoken digit recognition. Neural Networks and Computational Intelligence 2004: 164-168
Coauthor Index
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