Alex Graves - RankMe

82 papers A* 12B 3C 3Misc 3Journal 36Unranked 22

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Bayesian Flow Networks. CoRR Alex Graves, Rupesh Kumar Srivastava, Timothy Atkinson, Faustino J. Gomez
2021	A*	`conf`	Practical Real Time Recurrent Learning with a Sparse Approximation. ICLR Jacob Menick, Erich Elsen, Utku Evci, Simon Osindero, Karen Simonyan, Alex Graves
2020	J	`jnl`	A Practical Sparse Approximation for Real Time Recurrent Learning. CoRR Jacob Menick, Erich Elsen, Utku Evci, Simon Osindero, Karen Simonyan, Alex Graves
2018	J	`jnl`	Associative Compression Networks for Representation Learning. CoRR Alex Graves, Jacob Menick, Aäron van den Oord
2018	—	`conf`	Noisy Networks For Exploration. ICLR (Poster) 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
2018	A*	`conf`	Parallel WaveNet: Fast High-Fidelity Speech Synthesis. ICML 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
2018	—	`conf`	The Kanerva Machine: A Generative Distributed Memory. ICLR (Poster) Yan Wu, Greg Wayne, Alex Graves, Timothy P. Lillicrap
2018	J	`jnl`	The Kanerva Machine: A Generative Distributed Memory. CoRR Yan Wu, Greg Wayne, Alex Graves, Timothy P. Lillicrap
2017	A*	`conf`	Automated Curriculum Learning for Neural Networks. ICML Alex Graves, Marc G. Bellemare, Jacob Menick, Rémi Munos, Koray Kavukcuoglu
2017	J	`jnl`	Automated Curriculum Learning for Neural Networks. CoRR Alex Graves, Marc G. Bellemare, Jacob Menick, Rémi Munos, Koray Kavukcuoglu
2017	A*	`conf`	Decoupled Neural Interfaces using Synthetic Gradients. ICML Max Jaderberg, Wojciech Marian Czarnecki, Simon Osindero, Oriol Vinyals, Alex Graves, David Silver, Koray Kavukcuoglu
2017	J	`jnl`	Noisy Networks for Exploration. CoRR 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
2017	J	`jnl`	Parallel WaveNet: Fast High-Fidelity Speech Synthesis. CoRR 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
2017	B	`conf`	Plenary talks: Frontiers in recurrent neural network research. IJCNN Alex Graves
2017	A*	`conf`	Video Pixel Networks. ICML Nal Kalchbrenner, Aäron van den Oord, Karen Simonyan, Ivo Danihelka, Oriol Vinyals, Alex Graves, Koray Kavukcuoglu
2016	J	`jnl`	Adaptive Computation Time for Recurrent Neural Networks. CoRR Alex Graves
2016	A*	`conf`	Associative Long Short-Term Memory. ICML Ivo Danihelka, Greg Wayne, Benigno Uria, Nal Kalchbrenner, Alex Graves
2016	J	`jnl`	Associative Long Short-Term Memory. CoRR Ivo Danihelka, Greg Wayne, Benigno Uria, Nal Kalchbrenner, Alex Graves
2016	A*	`conf`	Asynchronous Methods for Deep Reinforcement Learning. ICML Volodymyr Mnih, Adrià Puigdomènech Badia, Mehdi Mirza, Alex Graves, Timothy P. Lillicrap, Tim Harley, David Silver, Koray Kavukcuoglu
2016	J	`jnl`	Asynchronous Methods for Deep Reinforcement Learning. CoRR Volodymyr Mnih, Adrià Puigdomènech Badia, Mehdi Mirza, Alex Graves, Timothy P. Lillicrap, Tim Harley, David Silver, Koray Kavukcuoglu
2016	—	`conf`	Conditional Image Generation with PixelCNN Decoders. NIPS Aäron van den Oord, Nal Kalchbrenner, Lasse Espeholt, Koray Kavukcuoglu, Oriol Vinyals, Alex Graves
2016	J	`jnl`	Conditional Image Generation with PixelCNN Decoders. CoRR Aäron van den Oord, Nal Kalchbrenner, Oriol Vinyals, Lasse Espeholt, Alex Graves, Koray Kavukcuoglu
2016	J	`jnl`	Decoupled Neural Interfaces using Synthetic Gradients. CoRR Max Jaderberg, Wojciech Marian Czarnecki, Simon Osindero, Oriol Vinyals, Alex Graves, Koray Kavukcuoglu
2016	A*	`conf`	Grid Long Short-Term Memory. ICLR (Poster) Nal Kalchbrenner, Ivo Danihelka, Alex Graves
2016	J	`jnl`	Hybrid computing using a neural network with dynamic external memory. Nat. 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
2016	—	`conf`	Memory-Efficient Backpropagation Through Time. NIPS Audrunas Gruslys, Rémi Munos, Ivo Danihelka, Marc Lanctot, Alex Graves
2016	J	`jnl`	Memory-Efficient Backpropagation Through Time. CoRR Audrunas Gruslys, Rémi Munos, Ivo Danihelka, Marc Lanctot, Alex Graves
2016	J	`jnl`	Neural Machine Translation in Linear Time. CoRR Nal Kalchbrenner, Lasse Espeholt, Karen Simonyan, Aäron van den Oord, Alex Graves, Koray Kavukcuoglu
2016	—	`conf`	Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes. NIPS Jack W. Rae, Jonathan J. Hunt, Ivo Danihelka, Timothy Harley, Andrew W. Senior, Gregory Wayne, Alex Graves, Tim Lillicrap
2016	J	`jnl`	Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes. CoRR Jack W. Rae, Jonathan J. Hunt, Tim Harley, Ivo Danihelka, Andrew W. Senior, Greg Wayne, Alex Graves, Timothy P. Lillicrap
2016	J	`jnl`	Stochastic Backpropagation through Mixture Density Distributions. CoRR Alex Graves
2016	—	`conf`	Strategic Attentive Writer for Learning Macro-Actions. NIPS Alexander Vezhnevets, Volodymyr Mnih, Simon Osindero, Alex Graves, Oriol Vinyals, John P. Agapiou, Koray Kavukcuoglu
2016	J	`jnl`	Strategic Attentive Writer for Learning Macro-Actions. CoRR Alexander Vezhnevets, Volodymyr Mnih, John P. Agapiou, Simon Osindero, Alex Graves, Oriol Vinyals, Koray Kavukcuoglu
2016	J	`jnl`	Video Pixel Networks. CoRR Nal Kalchbrenner, Aäron van den Oord, Karen Simonyan, Ivo Danihelka, Oriol Vinyals, Alex Graves, Koray Kavukcuoglu
2016	—	`conf`	WaveNet: A Generative Model for Raw Audio. SSW Aäron van den Oord, Sander Dieleman, Heiga Zen, Karen Simonyan, Oriol Vinyals, Alex Graves, Nal Kalchbrenner, Andrew W. Senior, Koray Kavukcuoglu
2016	J	`jnl`	WaveNet: A Generative Model for Raw Audio. CoRR Aäron van den Oord, Sander Dieleman, Heiga Zen, Karen Simonyan, Oriol Vinyals, Alex Graves, Nal Kalchbrenner, Andrew W. Senior, Koray Kavukcuoglu
2015	J	`jnl`	Automatic diacritization of Arabic text using recurrent neural networks. Int. J. Document Anal. Recognit. Gheith A. Abandah, Alex Graves, Balkees Al-Shagoor, Alaa Arabiyat, Fuad T. Jamour, Majid A. Al-Taee
2015	A*	`conf`	DRAW: A Recurrent Neural Network For Image Generation. ICML Karol Gregor, Ivo Danihelka, Alex Graves, Danilo Jimenez Rezende, Daan Wierstra
2015	J	`jnl`	DRAW: A Recurrent Neural Network For Image Generation. CoRR Karol Gregor, Ivo Danihelka, Alex Graves, Daan Wierstra
2015	J	`jnl`	Human-level control through deep reinforcement learning. Nat. 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
2015	Misc	`conf`	Learning acoustic frame labeling for speech recognition with recurrent neural networks. ICASSP Hasim Sak, Andrew W. Senior, Kanishka Rao, Ozan Irsoy, Alex Graves, Françoise Beaufays, Johan Schalkwyk
2014	J	`jnl`	Neural Turing Machines. CoRR Alex Graves, Greg Wayne, Ivo Danihelka
2014	—	`conf`	Recurrent Models of Visual Attention. NIPS Volodymyr Mnih, Nicolas Heess, Alex Graves, Koray Kavukcuoglu
2014	J	`jnl`	Recurrent Models of Visual Attention. CoRR Volodymyr Mnih, Nicolas Heess, Alex Graves, Koray Kavukcuoglu
2014	—	`conf`	Teaching Computers to Read and Write: Recent Advances in Cursive Handwriting Recognition and Synthesis with Recurrent Neural Networks. CORIA-CIFED Alex Graves
2014	A*	`conf`	Towards End-To-End Speech Recognition with Recurrent Neural Networks. ICML Alex Graves, Navdeep Jaitly
2013	J	`jnl`	Generating Sequences With Recurrent Neural Networks. CoRR Alex Graves
2013	C	`conf`	Hybrid speech recognition with Deep Bidirectional LSTM. ASRU Alex Graves, Navdeep Jaitly, Abdel-rahman Mohamed
2013	J	`jnl`	Playing Atari with Deep Reinforcement Learning. CoRR Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Alex Graves, Ioannis Antonoglou, Daan Wierstra, Martin A. Riedmiller
2013	J	`jnl`	Speech Recognition with Deep Recurrent Neural Networks CoRR Alex Graves, Abdel-rahman Mohamed, Geoffrey E. Hinton
2013	Misc	`conf`	Speech recognition with deep recurrent neural networks. ICASSP Alex Graves, Abdel-rahman Mohamed, Geoffrey E. Hinton
2012	—	`ch.`	Neural Networks for Handwriting Recognition. Computational Intelligence Paradigms in Advanced Pattern Classification Marcus Liwicki, Alex Graves, Horst Bunke
2012	J	`jnl`	Sequence Transduction with Recurrent Neural Networks CoRR Alex Graves
2012	—	`book`	Supervised Sequence Labelling with Recurrent Neural Networks Alex Graves
2011	—	`conf`	On Fast Deep Nets for AGI Vision. AGI Jürgen Schmidhuber, Dan C. Ciresan, Ueli Meier, Jonathan Masci, Alex Graves
2011	—	`conf`	Practical Variational Inference for Neural Networks. NIPS Alex Graves
2010	J	`jnl`	Bidirectional LSTM Networks for Context-Sensitive Keyword Detection in a Cognitive Virtual Agent Framework. Cogn. Comput. Martin Wöllmer, Florian Eyben, Alex Graves, Björn W. Schuller, Gerhard Rigoll
2010	C	`conf`	Multimodal Parameter-exploring Policy Gradients. ICMLA Frank Sehnke, Alex Graves, Christian Osendorfer, Jürgen Schmidhuber
2010	J	`jnl`	On-line emotion recognition in a 3-D activation-valence-time continuum using acoustic and linguistic cues. J. Multimodal User Interfaces Florian Eyben, Martin Wöllmer, Alex Graves, Björn W. Schuller, Ellen Douglas-Cowie, Roddy Cowie
2010	J	`jnl`	Parameter-exploring policy gradients. Neural Networks Frank Sehnke, Christian Osendorfer, Thomas Rückstieß, Alex Graves, Jan Peters, Jürgen Schmidhuber
2010	—	`conf`	Universal Onset Detection with Bidirectional Long Short-Term Memory Neural Networks. ISMIR Florian Eyben, Sebastian Böck, Björn W. Schuller, Alex Graves
2009	J	`jnl`	A Novel Connectionist System for Unconstrained Handwriting Recognition. IEEE Trans. Pattern Anal. Mach. Intell. Alex Graves, Marcus Liwicki, Santiago Fernández, Roman Bertolami, Horst Bunke, Jürgen Schmidhuber
2009	C	`conf`	From speech to letters - using a novel neural network architecture for grapheme based ASR. ASRU Florian Eyben, Martin Wöllmer, Björn W. Schuller, Alex Graves
2009	—	`conf`	Improving Keyword Spotting with a Tandem BLSTM-DBN Architecture. NOLISP Martin Wöllmer, Florian Eyben, Alex Graves, Björn W. Schuller, Gerhard Rigoll
2009	Misc	`conf`	Robust discriminative keyword spotting for emotionally colored spontaneous speech using bidirectional LSTM networks. ICASSP Martin Wöllmer, Florian Eyben, Joseph Keshet, Alex Graves, Björn W. Schuller, Gerhard Rigoll
2008	—	`conf`	Offline Handwriting Recognition with Multidimensional Recurrent Neural Networks. NIPS Alex Graves, Jürgen Schmidhuber
2008	J	`jnl`	Phoneme recognition in TIMIT with BLSTM-CTC CoRR Santiago Fernández, Alex Graves, Jürgen Schmidhuber
2008	—	`conf`	Policy Gradients with Parameter-Based Exploration for Control. ICANN (1) Frank Sehnke, Christian Osendorfer, Thomas Rückstieß, Alex Graves, Jan Peters, Jürgen Schmidhuber
2008	—	`—`	Supervised sequence labelling with recurrent neural networks. Alex Graves
2007	—	`conf`	An Application of Recurrent Neural Networks to Discriminative Keyword Spotting. ICANN (2) Santiago Fernández, Alex Graves, Jürgen Schmidhuber
2007	J	`jnl`	Multi-Dimensional Recurrent Neural Networks CoRR Alex Graves, Santiago Fernández, Jürgen Schmidhuber
2007	—	`conf`	Multi-dimensional Recurrent Neural Networks. ICANN (1) Alex Graves, Santiago Fernández, Jürgen Schmidhuber
2007	B	`conf`	RNN-based Learning of Compact Maps for Efficient Robot Localization. ESANN Alexander Förster, Alex Graves, Jürgen Schmidhuber
2007	A*	`conf`	Sequence Labelling in Structured Domains with Hierarchical Recurrent Neural Networks. IJCAI Santiago Fernández, Alex Graves, Jürgen Schmidhuber
2007	—	`conf`	Unconstrained On-line Handwriting Recognition with Recurrent Neural Networks. NIPS Alex Graves, Santiago Fernández, Marcus Liwicki, Horst Bunke, Jürgen Schmidhuber
2006	A*	`conf`	Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks. ICML Alex Graves, Santiago Fernández, Faustino J. Gomez, Jürgen Schmidhuber
2005	—	`conf`	Bidirectional LSTM Networks for Improved Phoneme Classification and Recognition. ICANN (2) Alex Graves, Santiago Fernández, Jürgen Schmidhuber
2005	—	`conf`	Classifying Unprompted Speech by Retraining LSTM Nets. ICANN (1) Nicole Beringer, Alex Graves, Florian Schiel, Jürgen Schmidhuber
2005	J	`jnl`	Framewise phoneme classification with bidirectional LSTM and other neural network architectures. Neural Networks Alex Graves, Jürgen Schmidhuber
2005	B	`conf`	Framewise phoneme classification with bidirectional LSTM networks. IJCNN Alex Graves, Jürgen Schmidhuber
2004	—	`conf`	A comparison between spiking and differentiable recurrent neural networks on spoken digit recognition. Neural Networks and Computational Intelligence Alex Graves, Nicole Beringer, Jürgen Schmidhuber
2004	—	`conf`	Biologically Plausible Speech Recognition with LSTM Neural Nets. BioADIT Alex Graves, Douglas Eck, Nicole Beringer, Jürgen Schmidhuber