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2020 – today
- 2024
[j6]Chrisantha Fernando
, Simon Osindero, Dylan Banarse:
The origin and function of external representations. Adapt. Behav. 32(6): 515-549 (2024)- [c34]Jake Bruce, Michael D. Dennis, Ashley Edwards, Jack Parker-Holder, Yuge Shi, Edward Hughes, Matthew Lai, Aditi Mavalankar, Richie Steigerwald, Chris Apps, Yusuf Aytar, Sarah Bechtle, Feryal M. P. Behbahani, Stephanie C. Y. Chan, Nicolas Heess, Lucy Gonzalez, Simon Osindero, Sherjil Ozair, Scott E. Reed, Jingwei Zhang, Konrad Zolna, Jeff Clune, Nando de Freitas, Satinder Singh, Tim Rocktäschel:
Genie: Generative Interactive Environments. ICML 2024 - [c33]Chrisantha Fernando, Dylan Banarse, Henryk Michalewski, Simon Osindero, Tim Rocktäschel:
Promptbreeder: Self-Referential Self-Improvement via Prompt Evolution. ICML 2024 - [i40]Jake Bruce, Michael Dennis, Ashley Edwards, Jack Parker-Holder, Yuge Shi, Edward Hughes, Matthew Lai, Aditi Mavalankar, Richie Steigerwald, Chris Apps, Yusuf Aytar, Sarah Bechtle, Feryal M. P. Behbahani, Stephanie Chan, Nicolas Heess, Lucy Gonzalez, Simon Osindero, Sherjil Ozair, Scott E. Reed, Jingwei Zhang, Konrad Zolna, Jeff Clune, Nando de Freitas, Satinder Singh, Tim Rocktäschel:
Genie: Generative Interactive Environments. CoRR abs/2402.15391 (2024) - [i39]Piotr Mirowski, David Warde-Farley, Mihaela Rosca, Matthew Koichi Grimes, Yana Hasson, Hyunjik Kim, Mélanie Rey, Simon Osindero, Suman V. Ravuri, Shakir Mohamed:
Neural Compression of Atmospheric States. CoRR abs/2407.11666 (2024) - 2023
- [c32]Viorica Patraucean, Lucas Smaira, Ankush Gupta, Adrià Recasens, Larisa Markeeva, Dylan Banarse, Skanda Koppula, Joseph Heyward, Mateusz Malinowski, Yi Yang, Carl Doersch, Tatiana Matejovicova, Yury Sulsky, Antoine Miech, Alexandre Fréchette, Hanna Klimczak, Raphael Koster, Junlin Zhang, Stephanie Winkler, Yusuf Aytar, Simon Osindero, Dima Damen, Andrew Zisserman, João Carreira:
Perception Test: A Diagnostic Benchmark for Multimodal Video Models. NeurIPS 2023 - [i38]Viorica Patraucean, Lucas Smaira, Ankush Gupta, Adrià Recasens Continente, Larisa Markeeva, Dylan Banarse, Skanda Koppula, Joseph Heyward, Mateusz Malinowski, Yi Yang, Carl Doersch, Tatiana Matejovicova, Yury Sulsky, Antoine Miech, Alexandre Fréchette, Hanna Klimczak, Raphael Koster, Junlin Zhang, Stephanie Winkler, Yusuf Aytar, Simon Osindero, Dima Damen, Andrew Zisserman, João Carreira:
Perception Test: A Diagnostic Benchmark for Multimodal Video Models. CoRR abs/2305.13786 (2023) - [i37]Chrisantha Fernando, Dylan Banarse, Henryk Michalewski, Simon Osindero, Tim Rocktäschel:
Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution. CoRR abs/2309.16797 (2023) - [i36]David Warde-Farley, Vinod Nair, Yujia Li, Ivan Lobov, Felix Gimeno, Simon Osindero:
Solving MaxSAT with Matrix Multiplication. CoRR abs/2311.02101 (2023) - [i35]Alexander Sasha Vezhnevets, John P. Agapiou, Avia Aharon, Ron Ziv, Jayd Matyas, Edgar A. Duéñez-Guzmán, William A. Cunningham, Simon Osindero, Danny Karmon, Joel Z. Leibo:
Generative agent-based modeling with actions grounded in physical, social, or digital space using Concordia. CoRR abs/2312.03664 (2023) - 2022
- [c31]Piotr Mirowski, Dylan Banarse, Mateusz Malinowski, Simon Osindero, Chrisantha Fernando:
CLIP-CLOP: CLIP-Guided Collage and Photomontage. ICCC 2022: 190-194 - [c30]Sebastian Borgeaud, Arthur Mensch, Jordan Hoffmann, Trevor Cai, Eliza Rutherford, Katie Millican, George van den Driessche, Jean-Baptiste Lespiau, Bogdan Damoc, Aidan Clark, Diego de Las Casas, Aurelia Guy, Jacob Menick, Roman Ring, Tom Hennigan, Saffron Huang, Loren Maggiore, Chris Jones, Albin Cassirer, Andy Brock, Michela Paganini, Geoffrey Irving, Oriol Vinyals, Simon Osindero, Karen Simonyan, Jack W. Rae, Erich Elsen, Laurent Sifre:
Improving Language Models by Retrieving from Trillions of Tokens. ICML 2022: 2206-2240 - [c29]Aidan Clark, Diego de Las Casas, Aurelia Guy, Arthur Mensch, Michela Paganini, Jordan Hoffmann, Bogdan Damoc, Blake A. Hechtman, Trevor Cai, Sebastian Borgeaud, George van den Driessche, Eliza Rutherford, Tom Hennigan, Matthew J. Johnson, Albin Cassirer, Chris Jones, Elena Buchatskaya, David Budden, Laurent Sifre, Simon Osindero, Oriol Vinyals, Marc'Aurelio Ranzato, Jack W. Rae, Erich Elsen, Koray Kavukcuoglu, Karen Simonyan:
Unified Scaling Laws for Routed Language Models. ICML 2022: 4057-4086 - [c28]Angelos Filos, Eszter Vértes, Zita Marinho, Gregory Farquhar, Diana Borsa, Abram L. Friesen, Feryal M. P. Behbahani, Tom Schaul, André Barreto, Simon Osindero:
Model-Value Inconsistency as a Signal for Epistemic Uncertainty. ICML 2022: 6474-6498 - [c27]Anirudh Goyal, Abram L. Friesen, Andrea Banino, Theophane Weber, Nan Rosemary Ke, Adrià Puigdomènech Badia, Arthur Guez, Mehdi Mirza, Peter Conway Humphreys, Ksenia Konyushkova, Michal Valko, Simon Osindero, Timothy P. Lillicrap, Nicolas Heess, Charles Blundell:
Retrieval-Augmented Reinforcement Learning. ICML 2022: 7740-7765 - [c26]Jordan Hoffmann, Sebastian Borgeaud, Arthur Mensch, Elena Buchatskaya, Trevor Cai, Eliza Rutherford, Diego de Las Casas, Lisa Anne Hendricks, Johannes Welbl, Aidan Clark, Tom Hennigan, Eric Noland, Katherine Millican, George van den Driessche, Bogdan Damoc, Aurelia Guy, Simon Osindero, Karen Simonyan, Erich Elsen, Oriol Vinyals, Jack W. Rae, Laurent Sifre:
An empirical analysis of compute-optimal large language model training. NeurIPS 2022 - [i34]Aidan Clark, Diego de Las Casas, Aurelia Guy, Arthur Mensch, Michela Paganini, Jordan Hoffmann, Bogdan Damoc, Blake A. Hechtman, Trevor Cai, Sebastian Borgeaud, George van den Driessche, Eliza Rutherford, Tom Hennigan, Matthew J. Johnson, Katie Millican, Albin Cassirer, Chris Jones, Elena Buchatskaya, David Budden, Laurent Sifre, Simon Osindero, Oriol Vinyals, Jack W. Rae, Erich Elsen, Koray Kavukcuoglu, Karen Simonyan:
Unified Scaling Laws for Routed Language Models. CoRR abs/2202.01169 (2022) - [i33]Anirudh Goyal, Abram L. Friesen, Andrea Banino, Theophane Weber, Nan Rosemary Ke, Adrià Puigdomènech Badia, Arthur Guez, Mehdi Mirza, Ksenia Konyushkova, Michal Valko, Simon Osindero, Timothy P. Lillicrap, Nicolas Heess, Charles Blundell:
Retrieval-Augmented Reinforcement Learning. CoRR abs/2202.08417 (2022) - [i32]Jordan Hoffmann, Sebastian Borgeaud, Arthur Mensch, Elena Buchatskaya, Trevor Cai, Eliza Rutherford, Diego de Las Casas, Lisa Anne Hendricks, Johannes Welbl, Aidan Clark, Tom Hennigan, Eric Noland, Katie Millican, George van den Driessche, Bogdan Damoc, Aurelia Guy, Simon Osindero, Karen Simonyan, Erich Elsen, Jack W. Rae, Oriol Vinyals, Laurent Sifre:
Training Compute-Optimal Large Language Models. CoRR abs/2203.15556 (2022) - [i31]Piotr Mirowski, Dylan Banarse, Mateusz Malinowski, Simon Osindero, Chrisantha Fernando:
CLIP-CLOP: CLIP-Guided Collage and Photomontage. CoRR abs/2205.03146 (2022) - 2021
- [c25]Jacob Menick, Erich Elsen, Utku Evci, Simon Osindero, Karen Simonyan, Alex Graves:
Practical Real Time Recurrent Learning with a Sparse Approximation. ICLR 2021 - [c24]Steven Hansen, Guillaume Desjardins, Kate Baumli, David Warde-Farley, Nicolas Heess, Simon Osindero, Volodymyr Mnih:
Entropic Desired Dynamics for Intrinsic Control. NeurIPS 2021: 11436-11448 - [i30]Chrisantha Fernando, S. M. Ali Eslami, Jean-Baptiste Alayrac, Piotr Mirowski, Dylan Banarse, Simon Osindero:
Generative Art Using Neural Visual Grammars and Dual Encoders. CoRR abs/2105.00162 (2021) - [i29]Siddhant M. Jayakumar, Razvan Pascanu, Jack W. Rae, Simon Osindero, Erich Elsen:
Top-KAST: Top-K Always Sparse Training. CoRR abs/2106.03517 (2021) - [i28]Angelos Filos, Eszter Vértes, Zita Marinho, Gregory Farquhar, Diana Borsa, Abram L. Friesen, Feryal M. P. Behbahani, Tom Schaul, André Barreto, Simon Osindero:
Model-Value Inconsistency as a Signal for Epistemic Uncertainty. CoRR abs/2112.04153 (2021) - [i27]Sebastian Borgeaud, Arthur Mensch, Jordan Hoffmann, Trevor Cai, Eliza Rutherford, Katie Millican, George van den Driessche, Jean-Baptiste Lespiau, Bogdan Damoc, Aidan Clark, Diego de Las Casas, Aurelia Guy, Jacob Menick, Roman Ring, Tom Hennigan, Saffron Huang, Loren Maggiore, Chris Jones, Albin Cassirer, Andy Brock, Michela Paganini, Geoffrey Irving, Oriol Vinyals, Simon Osindero, Karen Simonyan, Jack W. Rae, Erich Elsen, Laurent Sifre:
Improving language models by retrieving from trillions of tokens. CoRR abs/2112.04426 (2021) - [i26]Jack W. Rae, Sebastian Borgeaud, Trevor Cai, Katie Millican, Jordan Hoffmann, H. Francis Song, John Aslanides, Sarah Henderson, Roman Ring, Susannah Young, Eliza Rutherford, Tom Hennigan, Jacob Menick, Albin Cassirer, Richard Powell, George van den Driessche, Lisa Anne Hendricks, Maribeth Rauh, Po-Sen Huang, Amelia Glaese, Johannes Welbl, Sumanth Dathathri, Saffron Huang, Jonathan Uesato, John Mellor, Irina Higgins, Antonia Creswell, Nat McAleese, Amy Wu, Erich Elsen, Siddhant M. Jayakumar, Elena Buchatskaya, David Budden, Esme Sutherland, Karen Simonyan, Michela Paganini, Laurent Sifre, Lena Martens, Xiang Lorraine Li, Adhiguna Kuncoro, Aida Nematzadeh, Elena Gribovskaya, Domenic Donato, Angeliki Lazaridou, Arthur Mensch, Jean-Baptiste Lespiau, Maria Tsimpoukelli, Nikolai Grigorev, Doug Fritz, Thibault Sottiaux, Mantas Pajarskas, Toby Pohlen, Zhitao Gong, Daniel Toyama, Cyprien de Masson d'Autume, Yujia Li, Tayfun Terzi, Vladimir Mikulik, Igor Babuschkin, Aidan Clark, Diego de Las Casas, Aurelia Guy, Chris Jones, James Bradbury, Matthew J. Johnson, Blake A. Hechtman, Laura Weidinger, Iason Gabriel, William Isaac, Edward Lockhart, Simon Osindero, Laura Rimell, Chris Dyer, Oriol Vinyals, Kareem Ayoub, Jeff Stanway, Lorrayne Bennett, Demis Hassabis, Koray Kavukcuoglu, Geoffrey Irving:
Scaling Language Models: Methods, Analysis & Insights from Training Gopher. CoRR abs/2112.11446 (2021) - 2020
- [c23]Sergey Bartunov, Jack W. Rae, Simon Osindero, Timothy P. Lillicrap:
Meta-Learning Deep Energy-Based Memory Models. ICLR 2020 - [c22]Siddhant M. Jayakumar, Wojciech M. Czarnecki, Jacob Menick, Jonathan Schwarz, Jack W. Rae, Simon Osindero, Yee Whye Teh, Tim Harley, Razvan Pascanu:
Multiplicative Interactions and Where to Find Them. ICLR 2020 - [c21]Jörg Bornschein, Francesco Visin, Simon Osindero:
Small Data, Big Decisions: Model Selection in the Small-Data Regime. ICML 2020: 1035-1044 - [c20]Siddhant M. Jayakumar, Razvan Pascanu, Jack W. Rae, Simon Osindero, Erich Elsen:
Top-KAST: Top-K Always Sparse Training. NeurIPS 2020 - [i25]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) - [i24]Jordan Hoffmann, Simon Schmitt, Simon Osindero, Karen Simonyan, Erich Elsen:
AlgebraNets. CoRR abs/2006.07360 (2020) - [i23]Jörg Bornschein, Francesco Visin, Simon Osindero:
Small Data, Big Decisions: Model Selection in the Small-Data Regime. CoRR abs/2009.12583 (2020) - [i22]Chrisantha Fernando, Daria Zenkova, Stanislav Nikolov, Simon Osindero:
From Language Games to Drawing Games. CoRR abs/2010.02820 (2020) - [i21]Simon Osindero:
Contrastive Topographic Models: Energy-based density models applied to the understanding of sensory coding and cortical topography. CoRR abs/2011.03535 (2020)
2010 – 2019
- 2019
- [c19]Wojciech M. Czarnecki, Razvan Pascanu, Simon Osindero, Siddhant M. Jayakumar, Grzegorz Swirszcz, Max Jaderberg:
Distilling Policy Distillation. AISTATS 2019: 1331-1340 - [c18]Andrei A. Rusu, Dushyant Rao, Jakub Sygnowski, Oriol Vinyals, Razvan Pascanu, Simon Osindero, Raia Hadsell:
Meta-Learning with Latent Embedding Optimization. ICLR (Poster) 2019 - [i20]Wojciech Marian Czarnecki, Razvan Pascanu, Simon Osindero, Siddhant M. Jayakumar, Grzegorz Swirszcz, Max Jaderberg:
Distilling Policy Distillation. CoRR abs/1902.02186 (2019) - [i19]Pedro A. Ortega, Jane X. Wang, Mark Rowland, Tim Genewein, Zeb Kurth-Nelson, Razvan Pascanu, Nicolas Heess, Joel Veness, Alexander Pritzel, Pablo Sprechmann, Siddhant M. Jayakumar, Tom McGrath, Kevin J. Miller, Mohammad Gheshlaghi Azar, Ian Osband, Neil C. Rabinowitz, András György, Silvia Chiappa, Simon Osindero, Yee Whye Teh, Hado van Hasselt, Nando de Freitas, Matthew M. Botvinick, Shane Legg:
Meta-learning of Sequential Strategies. CoRR abs/1905.03030 (2019) - [i18]Sergey Bartunov, Jack W. Rae, Simon Osindero, Timothy P. Lillicrap:
Meta-Learning Deep Energy-Based Memory Models. CoRR abs/1910.02720 (2019) - [i17]Tom Schaul, Diana Borsa, David Ding, David Szepesvari, Georg Ostrovski, Will Dabney, Simon Osindero:
Adapting Behaviour for Learning Progress. CoRR abs/1912.06910 (2019) - [i16]Wojciech Marian Czarnecki, Simon Osindero, Razvan Pascanu, Max Jaderberg:
A Deep Neural Network's Loss Surface Contains Every Low-dimensional Pattern. CoRR abs/1912.07559 (2019) - 2018
- [c17]João Carreira, Viorica Patraucean, Laurent Mazaré, Andrew Zisserman, Simon Osindero:
Massively Parallel Video Networks. ECCV (4) 2018: 680-697 - [c16]Chrisantha Fernando, Jakub Sygnowski, Simon Osindero, Jane Wang, Tom Schaul, Denis Teplyashin, Pablo Sprechmann, Alexander Pritzel, Andrei A. Rusu:
Meta-learning by the baldwin effect. GECCO (Companion) 2018: 109-110 - [c15]Chrisantha Fernando, Jakub Sygnowski, Simon Osindero, Jane Wang, Tom Schaul, Denis Teplyashin, Pablo Sprechmann, Alexander Pritzel, Andrei A. Rusu:
Meta-learning by the Baldwin effect. GECCO (Companion) 2018: 1313-1320 - [c14]Wojciech Marian Czarnecki, Siddhant M. Jayakumar, Max Jaderberg, Leonard Hasenclever, Yee Whye Teh, Nicolas Heess, Simon Osindero, Razvan Pascanu:
Mix & Match Agent Curricula for Reinforcement Learning. ICML 2018: 1095-1103 - [i15]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) - [i14]Wojciech Marian Czarnecki, Siddhant M. Jayakumar, Max Jaderberg, Leonard Hasenclever, Yee Whye Teh, Simon Osindero, Nicolas Heess, Razvan Pascanu:
Mix&Match - Agent Curricula for Reinforcement Learning. CoRR abs/1806.01780 (2018) - [i13]João Carreira, Viorica Patraucean, Laurent Mazaré, Andrew Zisserman, Simon Osindero:
Massively Parallel Video Networks. CoRR abs/1806.03863 (2018) - [i12]Chrisantha Thomas Fernando, Jakub Sygnowski, Simon Osindero, Jane Wang, Tom Schaul, Denis Teplyashin, Pablo Sprechmann, Alexander Pritzel, Andrei A. Rusu:
Meta-Learning by the Baldwin Effect. CoRR abs/1806.07917 (2018) - [i11]Andrei A. Rusu, Dushyant Rao, Jakub Sygnowski, Oriol Vinyals, Razvan Pascanu, Simon Osindero, Raia Hadsell:
Meta-Learning with Latent Embedding Optimization. CoRR abs/1807.05960 (2018) - 2017
- [j5]Luca Maria Aiello, Rossano Schifanella, Miriam Redi, Stacey Svetlichnaya, Frank Liu, Simon Osindero:
Beautiful and Damned. Combined Effect of Content Quality and Social Ties on User Engagement. IEEE Trans. Knowl. Data Eng. 29(12): 2682-2695 (2017) - [c13]Wojciech Marian Czarnecki, Grzegorz Swirszcz, Max Jaderberg, Simon Osindero, Oriol Vinyals, Koray Kavukcuoglu:
Understanding Synthetic Gradients and Decoupled Neural Interfaces. ICML 2017: 904-912 - [c12]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 - [c11]Alexander Sasha Vezhnevets, Simon Osindero, Tom Schaul, Nicolas Heess, Max Jaderberg, David Silver, Koray Kavukcuoglu:
FeUdal Networks for Hierarchical Reinforcement Learning. ICML 2017: 3540-3549 - [c10]Wojciech M. Czarnecki, Simon Osindero, Max Jaderberg, Grzegorz Swirszcz, Razvan Pascanu:
Sobolev Training for Neural Networks. NIPS 2017: 4278-4287 - [i10]Wojciech Marian Czarnecki, Grzegorz Swirszcz, Max Jaderberg, Simon Osindero, Oriol Vinyals, Koray Kavukcuoglu:
Understanding Synthetic Gradients and Decoupled Neural Interfaces. CoRR abs/1703.00522 (2017) - [i9]Alexander Sasha Vezhnevets, Simon Osindero, Tom Schaul, Nicolas Heess, Max Jaderberg, David Silver, Koray Kavukcuoglu:
FeUdal Networks for Hierarchical Reinforcement Learning. CoRR abs/1703.01161 (2017) - [i8]Wojciech Marian Czarnecki, Simon Osindero, Max Jaderberg, Grzegorz Swirszcz, Razvan Pascanu:
Sobolev Training for Neural Networks. CoRR abs/1706.04859 (2017) - [i7]Luca Maria Aiello, Rossano Schifanella, Miriam Redi, Stacey Svetlichnaya, Frank Liu, Simon Osindero:
Beautiful and damned. Combined effect of content quality and social ties on user engagement. CoRR abs/1711.00536 (2017) - [i6]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) - 2016
- [c9]Chen-Yu Lee, Simon Osindero:
Recursive Recurrent Nets with Attention Modeling for OCR in the Wild. CVPR 2016: 2231-2239 - [c8]Yannis Kalantidis, Clayton Mellina, Simon Osindero:
Cross-Dimensional Weighting for Aggregated Deep Convolutional Features. ECCV Workshops (1) 2016: 685-701 - [c7]Miriam Redi, Damon Crockett, Lev Manovich, Simon Osindero:
What Makes Photo Cultures Different? ACM Multimedia 2016: 287-291 - [c6]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 - [i5]Chen-Yu Lee, Simon Osindero:
Recursive Recurrent Nets with Attention Modeling for OCR in the Wild. CoRR abs/1603.03101 (2016) - [i4]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) - [i3]Max Jaderberg, Wojciech Marian Czarnecki, Simon Osindero, Oriol Vinyals, Alex Graves, Koray Kavukcuoglu:
Decoupled Neural Interfaces using Synthetic Gradients. CoRR abs/1608.05343 (2016) - 2015
- [i2]Yannis Kalantidis, Clayton Mellina, Simon Osindero:
Cross-dimensional Weighting for Aggregated Deep Convolutional Features. CoRR abs/1512.04065 (2015) - 2014
- [i1]Mehdi Mirza, Simon Osindero:
Conditional Generative Adversarial Nets. CoRR abs/1411.1784 (2014)
2000 – 2009
- 2007
- [c5]Simon Osindero, Geoffrey E. Hinton:
Modeling image patches with a directed hierarchy of Markov random fields. NIPS 2007: 1121-1128 - 2006
- [j4]Geoffrey E. Hinton, Simon Osindero, Max Welling, Yee Whye Teh:
Unsupervised Discovery of Nonlinear Structure Using Contrastive Backpropagation. Cogn. Sci. 30(4): 725-731 (2006) - [j3]Simon Osindero, Max Welling, Geoffrey E. Hinton:
Topographic Product Models Applied to Natural Scene Statistics. Neural Comput. 18(2): 381-414 (2006) - [j2]Geoffrey E. Hinton, Simon Osindero, Yee Whye Teh:
A Fast Learning Algorithm for Deep Belief Nets. Neural Comput. 18(7): 1527-1554 (2006) - [c4]David A. Ross, Simon Osindero, Richard S. Zemel:
Combining discriminative features to infer complex trajectories. ICML 2006: 761-768 - 2005
- [c3]Geoffrey E. Hinton, Simon Osindero, Kejie Bao:
Learning Causally Linked Markov Random Fields. AISTATS 2005: 128-135 - [c2]Edward Meeds, Simon Osindero:
An Alternative Infinite Mixture Of Gaussian Process Experts. NIPS 2005: 883-890 - 2004
- [b1]Simon Kayode Osindero:
Contrastive topographic models. University College London, UK, 2004 - 2003
- [j1]Yee Whye Teh, Max Welling, Simon Osindero, Geoffrey E. Hinton:
Energy-Based Models for Sparse Overcomplete Representations. J. Mach. Learn. Res. 4: 1235-1260 (2003) - 2002
- [c1]Max Welling, Geoffrey E. Hinton, Simon Osindero:
Learning Sparse Topographic Representations with Products of Student-t Distributions. NIPS 2002: 1359-1366
Coauthor Index
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