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2020 – today
- 2021
[i45]Andrew Brock, Soham De, Samuel L. Smith, Karen Simonyan:
High-Performance Large-Scale Image Recognition Without Normalization. CoRR abs/2102.06171 (2021)- [i44]Sander Dieleman, Charlie Nash, Jesse H. Engel, Karen Simonyan:
Variable-rate discrete representation learning. CoRR abs/2103.06089 (2021) - [i43]Suman V. Ravuri, Karel Lenc, Matthew Willson, Dmitry Kangin, Rémi Lam, Piotr Mirowski, Megan Fitzsimons, Maria Athanassiadou, Sheleem Kashem, Sam Madge, Rachel Prudden, Amol Mandhane, Aidan Clark, Andrew Brock, Karen Simonyan, Raia Hadsell, Niall H. Robinson, Ellen Clancy, Alberto Arribas, Shakir Mohamed:
Skillful Precipitation Nowcasting using Deep Generative Models of Radar. CoRR abs/2104.00954 (2021) - [i42]Rémi Leblond, Jean-Baptiste Alayrac, Laurent Sifre, Miruna Pislar, Jean-Baptiste Lespiau, Ioannis Antonoglou, Karen Simonyan, Oriol Vinyals:
Machine Translation Decoding beyond Beam Search. CoRR abs/2104.05336 (2021) - 2020
- [j5]Andrew W. Senior, Richard Evans, John Jumper, James Kirkpatrick, Laurent Sifre, Tim Green, Chongli Qin, Augustin Zídek, Alexander W. R. Nelson, Alex Bridgland, Hugo Penedones, Stig Petersen, Karen Simonyan, Steve Crossan, Pushmeet Kohli, David T. Jones, David Silver, Koray Kavukcuoglu, Demis Hassabis:
Improved protein structure prediction using potentials from deep learning. Nat. 577(7792): 706-710 (2020) - [j4]Sageev Oore
, Ian Simon, Sander Dieleman, Douglas Eck, Karen Simonyan:
This time with feeling: learning expressive musical performance. Neural Comput. Appl. 32(4): 955-967 (2020) - [c36]Erich Elsen, Marat Dukhan, Trevor Gale, Karen Simonyan:
Fast Sparse ConvNets. CVPR 2020: 14617-14626 - [c35]Mikolaj Binkowski, Jeff Donahue, Sander Dieleman, Aidan Clark, Erich Elsen, Norman Casagrande, Luis C. Cobo, Karen Simonyan:
High Fidelity Speech Synthesis with Adversarial Networks. ICLR 2020 - [c34]Simon Schmitt, Matteo Hessel, Karen Simonyan:
Off-Policy Actor-Critic with Shared Experience Replay. ICML 2020: 8545-8554 - [c33]Hanxiao Liu, Andy Brock, Karen Simonyan, Quoc Le:
Evolving Normalization-Activation Layers. NeurIPS 2020 - [i41]Pauline Luc, Aidan Clark, Sander Dieleman, Diego de Las Casas, Yotam Doron, Albin Cassirer, Karen Simonyan:
Transformation-based Adversarial Video Prediction on Large-Scale Data. CoRR abs/2003.04035 (2020) - [i40]Hanxiao Liu, Andrew Brock, Karen Simonyan, Quoc V. Le:
Evolving Normalization-Activation Layers. CoRR abs/2004.02967 (2020) - [i39]Jeff Donahue, Sander Dieleman, Mikolaj Binkowski, Erich Elsen, Karen Simonyan:
End-to-End Adversarial Text-to-Speech. CoRR abs/2006.03575 (2020) - [i38]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) - [i37]Jordan Hoffmann, Simon Schmitt, Simon Osindero, Karen Simonyan, Erich Elsen:
AlgebraNets. CoRR abs/2006.07360 (2020)
2010 – 2019
- 2019
- [c32]Andrew Brock, Jeff Donahue, Karen Simonyan:
Large Scale GAN Training for High Fidelity Natural Image Synthesis. ICLR 2019 - [c31]Hanxiao Liu, Karen Simonyan, Yiming Yang:
DARTS: Differentiable Architecture Search. ICLR (Poster) 2019 - [c30]Jeff Donahue, Karen Simonyan:
Large Scale Adversarial Representation Learning. NeurIPS 2019: 10541-10551 - [i36]Piotr Mirowski, Andras Banki-Horvath, Keith Anderson, Denis Teplyashin, Karl Moritz Hermann, Mateusz Malinowski, Matthew Koichi Grimes, Karen Simonyan, Koray Kavukcuoglu, Andrew Zisserman, Raia Hadsell:
The StreetLearn Environment and Dataset. CoRR abs/1903.01292 (2019) - [i35]Jeffrey De Fauw, Sander Dieleman, Karen Simonyan:
Hierarchical Autoregressive Image Models with Auxiliary Decoders. CoRR abs/1903.04933 (2019) - [i34]Karel Lenc, Erich Elsen, Tom Schaul, Karen Simonyan:
Non-Differentiable Supervised Learning with Evolution Strategies and Hybrid Methods. CoRR abs/1906.03139 (2019) - [i33]Jeff Donahue, Karen Simonyan:
Large Scale Adversarial Representation Learning. CoRR abs/1907.02544 (2019) - [i32]Aidan Clark, Jeff Donahue, Karen Simonyan:
Efficient Video Generation on Complex Datasets. CoRR abs/1907.06571 (2019) - [i31]Simon Schmitt, Matteo Hessel, Karen Simonyan:
Off-Policy Actor-Critic with Shared Experience Replay. CoRR abs/1909.11583 (2019) - [i30]Mikolaj Binkowski, Jeff Donahue, Sander Dieleman, Aidan Clark, Erich Elsen, Norman Casagrande, Luis C. Cobo, Karen Simonyan:
High Fidelity Speech Synthesis with Adversarial Networks. CoRR abs/1909.11646 (2019) - [i29]Julian Schrittwieser, Ioannis Antonoglou, Thomas Hubert, Karen Simonyan, Laurent Sifre, Simon Schmitt, Arthur Guez, Edward Lockhart, Demis Hassabis, Thore Graepel, Timothy P. Lillicrap, David Silver:
Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model. CoRR abs/1911.08265 (2019) - [i28]Erich Elsen, Marat Dukhan, Trevor Gale, Karen Simonyan:
Fast Sparse ConvNets. CoRR abs/1911.09723 (2019) - [i27]Yan Wu, Jeff Donahue, David Balduzzi, Karen Simonyan, Timothy P. Lillicrap:
LOGAN: Latent Optimisation for Generative Adversarial Networks. CoRR abs/1912.00953 (2019) - 2018
- [c29]Hanxiao Liu, Karen Simonyan, Oriol Vinyals, Chrisantha Fernando, Koray Kavukcuoglu:
Hierarchical Representations for Efficient Architecture Search. ICLR (Poster) 2018 - [c28]Lasse Espeholt, Hubert Soyer, Rémi Munos, Karen Simonyan, Volodymyr Mnih, Tom Ward, Yotam Doron, Vlad Firoiu, Tim Harley, Iain Dunning, Shane Legg, Koray Kavukcuoglu:
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures. ICML 2018: 1406-1415 - [c27]Arthur Guez, Theophane Weber, Ioannis Antonoglou, Karen Simonyan, Oriol Vinyals, Daan Wierstra, Rémi Munos, David Silver:
Learning to Search with MCTSnets. ICML 2018: 1817-1826 - [c26]Nal Kalchbrenner, Erich Elsen, Karen Simonyan, Seb Noury, Norman Casagrande, Edward Lockhart, Florian Stimberg, Aäron van den Oord, Sander Dieleman, Koray Kavukcuoglu:
Efficient Neural Audio Synthesis. ICML 2018: 2415-2424 - [c25]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 - [c24]Piotr Mirowski, Matthew Koichi Grimes, Mateusz Malinowski, Karl Moritz Hermann, Keith Anderson, Denis Teplyashin, Karen Simonyan, Koray Kavukcuoglu, Andrew Zisserman, Raia Hadsell:
Learning to Navigate in Cities Without a Map. NeurIPS 2018: 2424-2435 - [c23]Sander Dieleman, Aäron van den Oord, Karen Simonyan:
The challenge of realistic music generation: modelling raw audio at scale. NeurIPS 2018: 8000-8010 - [i26]Lasse Espeholt, Hubert Soyer, Rémi Munos, Karen Simonyan, Volodymyr Mnih, Tom Ward, Yotam Doron, Vlad Firoiu, Tim Harley, Iain Dunning, Shane Legg, Koray Kavukcuoglu:
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures. CoRR abs/1802.01561 (2018) - [i25]Arthur Guez, Théophane Weber, Ioannis Antonoglou, Karen Simonyan, Oriol Vinyals, Daan Wierstra, Rémi Munos, David Silver:
Learning to Search with MCTSnets. CoRR abs/1802.04697 (2018) - [i24]Nal Kalchbrenner, Erich Elsen, Karen Simonyan, Seb Noury, Norman Casagrande, Edward Lockhart, Florian Stimberg, Aäron van den Oord, Sander Dieleman, Koray Kavukcuoglu:
Efficient Neural Audio Synthesis. CoRR abs/1802.08435 (2018) - [i23]Simon Schmitt, Jonathan J. Hudson, Augustin Zídek, Simon Osindero, Carl Doersch, Wojciech M. Czarnecki, Joel Z. Leibo, Heinrich Küttler, Andrew Zisserman, Karen Simonyan, S. M. Ali Eslami:
Kickstarting Deep Reinforcement Learning. CoRR abs/1803.03835 (2018) - [i22]Piotr Mirowski, Matthew Koichi Grimes, Mateusz Malinowski, Karl Moritz Hermann, Keith Anderson, Denis Teplyashin, Karen Simonyan, Koray Kavukcuoglu, Andrew Zisserman, Raia Hadsell:
Learning to Navigate in Cities Without a Map. CoRR abs/1804.00168 (2018) - [i21]Hanxiao Liu, Karen Simonyan, Yiming Yang:
DARTS: Differentiable Architecture Search. CoRR abs/1806.09055 (2018) - [i20]Sander Dieleman, Aäron van den Oord, Karen Simonyan:
The challenge of realistic music generation: modelling raw audio at scale. CoRR abs/1806.10474 (2018) - [i19]Sageev Oore, Ian Simon, Sander Dieleman, Douglas Eck, Karen Simonyan:
This Time with Feeling: Learning Expressive Musical Performance. CoRR abs/1808.03715 (2018) - [i18]Andrew Brock, Jeff Donahue, Karen Simonyan:
Large Scale GAN Training for High Fidelity Natural Image Synthesis. CoRR abs/1809.11096 (2018) - 2017
- [j3]David Silver, Julian Schrittwieser, Karen Simonyan, Ioannis Antonoglou, Aja Huang, Arthur Guez, Thomas Hubert, Lucas Baker, Matthew Lai, Adrian Bolton, Yutian Chen, Timothy P. Lillicrap, Fan Hui, Laurent Sifre, George van den Driessche, Thore Graepel, Demis Hassabis:
Mastering the game of Go without human knowledge. Nat. 550(7676): 354-359 (2017) - [c22]Jesse H. Engel, Cinjon Resnick, Adam Roberts, Sander Dieleman, Mohammad Norouzi, Douglas Eck, Karen Simonyan:
Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders. ICML 2017: 1068-1077 - [c21]Nal Kalchbrenner, Aäron van den Oord, Karen Simonyan, Ivo Danihelka, Oriol Vinyals, Alex Graves, Koray Kavukcuoglu:
Video Pixel Networks. ICML 2017: 1771-1779 - [i17]Jesse H. Engel, Cinjon Resnick, Adam Roberts, Sander Dieleman, Douglas Eck, Karen Simonyan, Mohammad Norouzi:
Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders. CoRR abs/1704.01279 (2017) - [i16]Will Kay, João Carreira, Karen Simonyan, Brian Zhang, Chloe Hillier, Sudheendra Vijayanarasimhan, Fabio Viola, Tim Green, Trevor Back, Paul Natsev, Mustafa Suleyman, Andrew Zisserman:
The Kinetics Human Action Video Dataset. CoRR abs/1705.06950 (2017) - [i15]Oriol Vinyals, Timo Ewalds, Sergey Bartunov, Petko Georgiev, Alexander Sasha Vezhnevets, Michelle Yeo, Alireza Makhzani, Heinrich Küttler, John P. Agapiou, Julian Schrittwieser, John Quan, Stephen Gaffney, Stig Petersen, Karen Simonyan, Tom Schaul, Hado van Hasselt, David Silver, Timothy P. Lillicrap, Kevin Calderone, Paul Keet, Anthony Brunasso, David Lawrence, Anders Ekermo, Jacob Repp, Rodney Tsing:
StarCraft II: A New Challenge for Reinforcement Learning. CoRR abs/1708.04782 (2017) - [i14]Hanxiao Liu, Karen Simonyan, Oriol Vinyals, Chrisantha Fernando, Koray Kavukcuoglu:
Hierarchical Representations for Efficient Architecture Search. CoRR abs/1711.00436 (2017) - [i13]Max Jaderberg, Valentin Dalibard, Simon Osindero, Wojciech M. Czarnecki, Jeff Donahue, Ali Razavi, Oriol Vinyals, Tim Green, Iain Dunning, Karen Simonyan, Chrisantha Fernando, Koray Kavukcuoglu:
Population Based Training of Neural Networks. CoRR abs/1711.09846 (2017) - [i12]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) - [i11]David Silver, Thomas Hubert, Julian Schrittwieser, Ioannis Antonoglou, Matthew Lai, Arthur Guez, Marc Lanctot, Laurent Sifre, Dharshan Kumaran, Thore Graepel, Timothy P. Lillicrap, Karen Simonyan, Demis Hassabis:
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm. CoRR abs/1712.01815 (2017) - 2016
- [j2]Max Jaderberg, Karen Simonyan, Andrea Vedaldi, Andrew Zisserman:
Reading Text in the Wild with Convolutional Neural Networks. Int. J. Comput. Vis. 116(1): 1-20 (2016) - [c20]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 - [i10]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) - [i9]Nal Kalchbrenner, Aäron van den Oord, Karen Simonyan, Ivo Danihelka, Oriol Vinyals, Alex Graves, Koray Kavukcuoglu:
Video Pixel Networks. CoRR abs/1610.00527 (2016) - [i8]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
- [c19]Max Jaderberg, Karen Simonyan, Andrew Zisserman, Koray Kavukcuoglu:
Spatial Transformer Networks. NIPS 2015: 2017-2025 - [c18]Guillaume Desjardins, Karen Simonyan, Razvan Pascanu, Koray Kavukcuoglu:
Natural Neural Networks. NIPS 2015: 2071-2079 - [c17]Max Jaderberg, Karen Simonyan, Andrea Vedaldi, Andrew Zisserman:
Deep Structured Output Learning for Unconstrained Text Recognition. ICLR 2015 - [c16]Karen Simonyan, Andrew Zisserman:
Very Deep Convolutional Networks for Large-Scale Image Recognition. ICLR 2015 - [i7]Max Jaderberg, Karen Simonyan, Andrew Zisserman, Koray Kavukcuoglu:
Spatial Transformer Networks. CoRR abs/1506.02025 (2015) - [i6]Guillaume Desjardins, Karen Simonyan, Razvan Pascanu, Koray Kavukcuoglu:
Natural Neural Networks. CoRR abs/1507.00210 (2015) - 2014
- [j1]Karen Simonyan, Andrea Vedaldi, Andrew Zisserman:
Learning Local Feature Descriptors Using Convex Optimisation. IEEE Trans. Pattern Anal. Mach. Intell. 36(8): 1573-1585 (2014) - [c15]Ken Chatfield, Karen Simonyan, Andrew Zisserman:
Efficient On-the-fly Category Retrieval Using ConvNets and GPUs. ACCV (1) 2014: 129-145 - [c14]Tomas Pfister, Karen Simonyan, James Charles, Andrew Zisserman:
Deep Convolutional Neural Networks for Efficient Pose Estimation in Gesture Videos. ACCV (1) 2014: 538-552 - [c13]Ken Chatfield, Karen Simonyan, Andrea Vedaldi, Andrew Zisserman:
Return of the Devil in the Details: Delving Deep into Convolutional Nets. BMVC 2014 - [c12]Omkar M. Parkhi, Karen Simonyan, Andrea Vedaldi, Andrew Zisserman:
A Compact and Discriminative Face Track Descriptor. CVPR 2014: 1693-1700 - [c11]Andrea Vedaldi, Siddharth Mahendran, Stavros Tsogkas, Subhransu Maji, Ross B. Girshick, Juho Kannala, Esa Rahtu, Iasonas Kokkinos, Matthew B. Blaschko, David J. Weiss, Ben Taskar, Karen Simonyan, Naomi Saphra, Sammy Mohamed:
Understanding Objects in Detail with Fine-Grained Attributes. CVPR 2014: 3622-3629 - [c10]Karen Simonyan, Andrew Zisserman:
Two-Stream Convolutional Networks for Action Recognition in Videos. NIPS 2014: 568-576 - [c9]Karen Simonyan, Andrea Vedaldi, Andrew Zisserman:
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps. ICLR (Workshop Poster) 2014 - [i5]Ken Chatfield, Karen Simonyan, Andrea Vedaldi, Andrew Zisserman:
Return of the Devil in the Details: Delving Deep into Convolutional Nets. CoRR abs/1405.3531 (2014) - [i4]Karen Simonyan, Andrew Zisserman:
Two-Stream Convolutional Networks for Action Recognition in Videos. CoRR abs/1406.2199 (2014) - [i3]Max Jaderberg, Karen Simonyan, Andrea Vedaldi, Andrew Zisserman:
Synthetic Data and Artificial Neural Networks for Natural Scene Text Recognition. CoRR abs/1406.2227 (2014) - [i2]Ken Chatfield, Karen Simonyan, Andrew Zisserman:
Efficient On-the-fly Category Retrieval using ConvNets and GPUs. CoRR abs/1407.4764 (2014) - [i1]Max Jaderberg, Karen Simonyan, Andrea Vedaldi, Andrew Zisserman:
Reading Text in the Wild with Convolutional Neural Networks. CoRR abs/1412.1842 (2014) - 2013
- [b1]Karen Simonyan:
Large-scale learning of discriminative image representations. University of Oxford, UK, 2013 - [c8]Karen Simonyan, Omkar M. Parkhi, Andrea Vedaldi, Andrew Zisserman:
Fisher Vector Faces in the Wild. BMVC 2013 - [c7]Karen Simonyan, Andrea Vedaldi, Andrew Zisserman:
Deep Fisher Networks for Large-Scale Image Classification. NIPS 2013: 163-171 - 2012
- [c6]Karen Simonyan, Andrea Vedaldi, Andrew Zisserman:
Descriptor Learning Using Convex Optimisation. ECCV (1) 2012: 243-256 - [c5]Karen Simonyan, Marc Modat, Sébastien Ourselin, David M. Cash, Antonio Criminisi, Andrew Zisserman:
Immediate ROI Search for 3-D Medical Images. MCBR-CDS 2012: 56-67 - 2011
- [c4]Karen Simonyan, Andrew Zisserman, Antonio Criminisi:
Immediate Structured Visual Search for Medical Images. MICCAI (3) 2011: 288-296
2000 – 2009
- 2009
- [c3]Karen Simonyan, Dmitriy S. Vatolin:
Edge-Directed Interpolation in a Bayesian Framework. BMVC 2009: 1-10 - 2008
- [c2]Karen Simonyan, Sergey Grishin, Dmitriy S. Vatolin, Dmitriy Popov:
Fast video super-resolution via classification. ICIP 2008: 349-352 - [c1]Karen Simonyan, Sergey Grishin, Dmitriy S. Vatolin, Dmitriy Popov:
Video super-resolution using motion compensation and classification-aided fusion. SCCG 2008: 143-148
Coauthor Index
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