Simon Osindero

95 papers A* 21A 2C 1Journal 61Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Theory of Appropriateness That Accounts for Norms of Rationality. CoRR Joel Z. Leibo, Alexander Sasha Vezhnevets, Manfred Diaz, John P. Agapiou, William A. Cunningham, Peter Sunehag, Logan Cross, Raphael Koster, Stanley M. Bileschi, Minsuk Chang, Iyad Rahwan, Simon Osindero, James A. Evans
2026	J	`jnl`	Causal Evidence that Language Models use Confidence to Drive Behavior. CoRR Dharshan Kumaran, Nathaniel Daw, Simon Osindero, Petar Velickovic, Viorica Patraucean
2026	J	`jnl`	How do LLMs Compute Verbal Confidence. CoRR Dharshan Kumaran, Arthur Conmy, Federico Barbero, Simon Osindero, Viorica Patraucean, Petar Velickovic
2026	J	`jnl`	Intelligent AI Delegation. CoRR Nenad Tomasev, Matija Franklin, Simon Osindero
2026	J	`jnl`	Perplexity Cannot Always Tell Right from Wrong. CoRR Petar Velickovic, Federico Barbero, Christos Perivolaropoulos, Simon Osindero, Razvan Pascanu
2026	J	`jnl`	TRecViT: A Recurrent Video Transformer. Trans. Mach. Learn. Res. Viorica Patraucean, Xu Owen He, Joseph Heyward, Chuhan Zhang, Mehdi S. M. Sajjadi, George-Cristian Muraru, Artem Zholus, Mahdi Karami, Ross Goroshin, Yutian Chen, Simon Osindero, João Carreira, Razvan Pascanu
2025	J	`jnl`	Distributional AGI Safety. CoRR Nenad Tomasev, Matija Franklin, Julian Jacobs, Sébastien Krier, Simon Osindero
2025	J	`jnl`	How Overconfidence in Initial Choices and Underconfidence Under Criticism Modulate Change of Mind in Large Language Models. CoRR Dharshan Kumaran, Stephen M. Fleming, Larisa Markeeva, Joe Heyward, Andrea Banino, Mrinal Mathur, Razvan Pascanu, Simon Osindero, Benedetto De Martino, Petar Velickovic, Viorica Patraucean
2025	J	`jnl`	Multi-Actor Generative Artificial Intelligence as a Game Engine. CoRR Alexander Sasha Vezhnevets, Jayd Matyas, Logan Cross, Davide Paglieri, Minsuk Chang, William A. Cunningham, Simon Osindero, William S. Isaac, Joel Z. Leibo
2025	J	`jnl`	Societal and technological progress as sewing an ever-growing, ever-changing, patchy, and polychrome quilt. CoRR Joel Z. Leibo, Alexander Sasha Vezhnevets, William A. Cunningham, Sébastien Krier, Manfred Diaz, Simon Osindero
2025	J	`jnl`	Virtual Agent Economies. CoRR Nenad Tomasev, Matija Franklin, Joel Z. Leibo, Julian Jacobs, William A. Cunningham, Iason Gabriel, Simon Osindero
2025	J	`jnl`	Wanting to Be Understood Explains the Meta-Problem of Consciousness. CoRR Chrisantha Fernando, Dylan Banarse, Simon Osindero
2025	J	`jnl`	Wanting to be Understood. CoRR Chrisantha Fernando, Dylan Banarse, Simon Osindero
2024	J	`jnl`	A theory of appropriateness with applications to generative artificial intelligence. CoRR Joel Z. Leibo, Alexander Sasha Vezhnevets, Manfred Diaz, John P. Agapiou, William A. Cunningham, Peter Sunehag, Julia Haas, Raphael Koster, Edgar A. Duéñez-Guzmán, William S. Isaac, Georgios Piliouras, Stanley M. Bileschi, Iyad Rahwan, Simon Osindero
2024	A*	`conf`	Genie: Generative Interactive Environments. ICML 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
2024	J	`jnl`	Genie: Generative Interactive Environments. CoRR 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
2024	J	`jnl`	Neural Compression of Atmospheric States. CoRR Piotr Mirowski, David Warde-Farley, Mihaela Rosca, Matthew Koichi Grimes, Yana Hasson, Hyunjik Kim, Mélanie Rey, Simon Osindero, Suman V. Ravuri, Shakir Mohamed
2024	A*	`conf`	Promptbreeder: Self-Referential Self-Improvement via Prompt Evolution. ICML Chrisantha Fernando, Dylan Banarse, Henryk Michalewski, Simon Osindero, Tim Rocktäschel
2024	J	`jnl`	TRecViT: A Recurrent Video Transformer. CoRR Viorica Patraucean, Xu Owen He, Joseph Heyward, Chuhan Zhang, Mehdi S. M. Sajjadi, George-Cristian Muraru, Artem Zholus, Mahdi Karami, Ross Goroshin, Yutian Chen, Simon Osindero, João Carreira, Razvan Pascanu
2024	J	`jnl`	The origin and function of external representations. Adapt. Behav. Chrisantha Fernando, Simon Osindero, Dylan Banarse
2023	J	`jnl`	Generative agent-based modeling with actions grounded in physical, social, or digital space using Concordia. CoRR 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
2023	A*	`conf`	Perception Test: A Diagnostic Benchmark for Multimodal Video Models. NeurIPS 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
2023	J	`jnl`	Perception Test: A Diagnostic Benchmark for Multimodal Video Models. CoRR 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
2023	J	`jnl`	Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution. CoRR Chrisantha Fernando, Dylan Banarse, Henryk Michalewski, Simon Osindero, Tim Rocktäschel
2023	J	`jnl`	Solving MaxSAT with Matrix Multiplication. CoRR David Warde-Farley, Vinod Nair, Yujia Li, Ivan Lobov, Felix Gimeno, Simon Osindero
2022	A*	`conf`	An empirical analysis of compute-optimal large language model training. NeurIPS 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
2022	C	`conf`	CLIP-CLOP: CLIP-Guided Collage and Photomontage. ICCC Piotr Mirowski, Dylan Banarse, Mateusz Malinowski, Simon Osindero, Chrisantha Fernando
2022	J	`jnl`	CLIP-CLOP: CLIP-Guided Collage and Photomontage. CoRR Piotr Mirowski, Dylan Banarse, Mateusz Malinowski, Simon Osindero, Chrisantha Fernando
2022	A*	`conf`	Improving Language Models by Retrieving from Trillions of Tokens. ICML 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
2022	A*	`conf`	Model-Value Inconsistency as a Signal for Epistemic Uncertainty. ICML Angelos Filos, Eszter Vértes, Zita Marinho, Gregory Farquhar, Diana Borsa, Abram L. Friesen, Feryal M. P. Behbahani, Tom Schaul, André Barreto, Simon Osindero
2022	A*	`conf`	Retrieval-Augmented Reinforcement Learning. ICML 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
2022	J	`jnl`	Retrieval-Augmented Reinforcement Learning. CoRR 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
2022	J	`jnl`	Training Compute-Optimal Large Language Models. CoRR 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
2022	A*	`conf`	Unified Scaling Laws for Routed Language Models. ICML 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
2022	J	`jnl`	Unified Scaling Laws for Routed Language Models. CoRR 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
2021	A*	`conf`	Entropic Desired Dynamics for Intrinsic Control. NeurIPS Steven Hansen, Guillaume Desjardins, Kate Baumli, David Warde-Farley, Nicolas Heess, Simon Osindero, Volodymyr Mnih
2021	J	`jnl`	Generative Art Using Neural Visual Grammars and Dual Encoders. CoRR Chrisantha Fernando, S. M. Ali Eslami, Jean-Baptiste Alayrac, Piotr Mirowski, Dylan Banarse, Simon Osindero
2021	J	`jnl`	Improving language models by retrieving from trillions of tokens. CoRR 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
2021	J	`jnl`	Model-Value Inconsistency as a Signal for Epistemic Uncertainty. CoRR Angelos Filos, Eszter Vértes, Zita Marinho, Gregory Farquhar, Diana Borsa, Abram L. Friesen, Feryal M. P. Behbahani, Tom Schaul, André Barreto, Simon Osindero
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
2021	J	`jnl`	Scaling Language Models: Methods, Analysis & Insights from Training Gopher. CoRR 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
2021	J	`jnl`	Top-KAST: Top-K Always Sparse Training. CoRR Siddhant M. Jayakumar, Razvan Pascanu, Jack W. Rae, Simon Osindero, Erich Elsen
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
2020	J	`jnl`	AlgebraNets. CoRR Jordan Hoffmann, Simon Schmitt, Simon Osindero, Karen Simonyan, Erich Elsen
2020	J	`jnl`	Contrastive Topographic Models: Energy-based density models applied to the understanding of sensory coding and cortical topography. CoRR Simon Osindero
2020	J	`jnl`	From Language Games to Drawing Games. CoRR Chrisantha Fernando, Daria Zenkova, Stanislav Nikolov, Simon Osindero
2020	A*	`conf`	Meta-Learning Deep Energy-Based Memory Models. ICLR Sergey Bartunov, Jack W. Rae, Simon Osindero, Timothy P. Lillicrap
2020	A*	`conf`	Multiplicative Interactions and Where to Find Them. ICLR Siddhant M. Jayakumar, Wojciech M. Czarnecki, Jacob Menick, Jonathan Schwarz, Jack W. Rae, Simon Osindero, Yee Whye Teh, Tim Harley, Razvan Pascanu
2020	A*	`conf`	Small Data, Big Decisions: Model Selection in the Small-Data Regime. ICML Jörg Bornschein, Francesco Visin, Simon Osindero
2020	J	`jnl`	Small Data, Big Decisions: Model Selection in the Small-Data Regime. CoRR Jörg Bornschein, Francesco Visin, Simon Osindero
2020	A*	`conf`	Top-KAST: Top-K Always Sparse Training. NeurIPS Siddhant M. Jayakumar, Razvan Pascanu, Jack W. Rae, Simon Osindero, Erich Elsen
2019	J	`jnl`	A Deep Neural Network's Loss Surface Contains Every Low-dimensional Pattern. CoRR Wojciech Marian Czarnecki, Simon Osindero, Razvan Pascanu, Max Jaderberg
2019	J	`jnl`	Adapting Behaviour for Learning Progress. CoRR Tom Schaul, Diana Borsa, David Ding, David Szepesvari, Georg Ostrovski, Will Dabney, Simon Osindero
2019	A	`conf`	Distilling Policy Distillation. AISTATS Wojciech M. Czarnecki, Razvan Pascanu, Simon Osindero, Siddhant M. Jayakumar, Grzegorz Swirszcz, Max Jaderberg
2019	J	`jnl`	Distilling Policy Distillation. CoRR Wojciech Marian Czarnecki, Razvan Pascanu, Simon Osindero, Siddhant M. Jayakumar, Grzegorz Swirszcz, Max Jaderberg
2019	J	`jnl`	Meta-Learning Deep Energy-Based Memory Models. CoRR Sergey Bartunov, Jack W. Rae, Simon Osindero, Timothy P. Lillicrap
2019	—	`conf`	Meta-Learning with Latent Embedding Optimization. ICLR (Poster) Andrei A. Rusu, Dushyant Rao, Jakub Sygnowski, Oriol Vinyals, Razvan Pascanu, Simon Osindero, Raia Hadsell
2019	J	`jnl`	Meta-learning of Sequential Strategies. CoRR 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
2018	J	`jnl`	Kickstarting Deep Reinforcement Learning. CoRR 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
2018	—	`conf`	Massively Parallel Video Networks. ECCV (4) João Carreira, Viorica Patraucean, Laurent Mazaré, Andrew Zisserman, Simon Osindero
2018	J	`jnl`	Massively Parallel Video Networks. CoRR João Carreira, Viorica Patraucean, Laurent Mazaré, Andrew Zisserman, Simon Osindero
2018	J	`jnl`	Meta-Learning by the Baldwin Effect. CoRR Chrisantha Thomas Fernando, Jakub Sygnowski, Simon Osindero, Jane Wang, Tom Schaul, Denis Teplyashin, Pablo Sprechmann, Alexander Pritzel, Andrei A. Rusu
2018	J	`jnl`	Meta-Learning with Latent Embedding Optimization. CoRR Andrei A. Rusu, Dushyant Rao, Jakub Sygnowski, Oriol Vinyals, Razvan Pascanu, Simon Osindero, Raia Hadsell
2018	—	`conf`	Meta-learning by the Baldwin effect. GECCO (Companion) Chrisantha Fernando, Jakub Sygnowski, Simon Osindero, Jane Wang, Tom Schaul, Denis Teplyashin, Pablo Sprechmann, Alexander Pritzel, Andrei A. Rusu
2018	—	`conf`	Meta-learning by the baldwin effect. GECCO (Companion) Chrisantha Fernando, Jakub Sygnowski, Simon Osindero, Jane Wang, Tom Schaul, Denis Teplyashin, Pablo Sprechmann, Alexander Pritzel, Andrei A. Rusu
2018	A*	`conf`	Mix & Match Agent Curricula for Reinforcement Learning. ICML Wojciech Marian Czarnecki, Siddhant M. Jayakumar, Max Jaderberg, Leonard Hasenclever, Yee Whye Teh, Nicolas Heess, Simon Osindero, Razvan Pascanu
2018	J	`jnl`	Mix&Match - Agent Curricula for Reinforcement Learning. CoRR Wojciech Marian Czarnecki, Siddhant M. Jayakumar, Max Jaderberg, Leonard Hasenclever, Yee Whye Teh, Simon Osindero, Nicolas Heess, Razvan Pascanu
2017	J	`jnl`	Beautiful and Damned. Combined Effect of Content Quality and Social Ties on User Engagement. IEEE Trans. Knowl. Data Eng. Luca Maria Aiello, Rossano Schifanella, Miriam Redi, Stacey Svetlichnaya, Frank Liu, Simon Osindero
2017	J	`jnl`	Beautiful and damned. Combined effect of content quality and social ties on user engagement. CoRR Luca Maria Aiello, Rossano Schifanella, Miriam Redi, Stacey Svetlichnaya, Frank Liu, Simon Osindero
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	A*	`conf`	FeUdal Networks for Hierarchical Reinforcement Learning. ICML Alexander Sasha Vezhnevets, Simon Osindero, Tom Schaul, Nicolas Heess, Max Jaderberg, David Silver, Koray Kavukcuoglu
2017	J	`jnl`	FeUdal Networks for Hierarchical Reinforcement Learning. CoRR Alexander Sasha Vezhnevets, Simon Osindero, Tom Schaul, Nicolas Heess, Max Jaderberg, David Silver, Koray Kavukcuoglu
2017	J	`jnl`	Population Based Training of Neural Networks. CoRR 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
2017	—	`conf`	Sobolev Training for Neural Networks. NIPS Wojciech M. Czarnecki, Simon Osindero, Max Jaderberg, Grzegorz Swirszcz, Razvan Pascanu
2017	J	`jnl`	Sobolev Training for Neural Networks. CoRR Wojciech Marian Czarnecki, Simon Osindero, Max Jaderberg, Grzegorz Swirszcz, Razvan Pascanu
2017	A*	`conf`	Understanding Synthetic Gradients and Decoupled Neural Interfaces. ICML Wojciech Marian Czarnecki, Grzegorz Swirszcz, Max Jaderberg, Simon Osindero, Oriol Vinyals, Koray Kavukcuoglu
2017	J	`jnl`	Understanding Synthetic Gradients and Decoupled Neural Interfaces. CoRR Wojciech Marian Czarnecki, Grzegorz Swirszcz, Max Jaderberg, Simon Osindero, Oriol Vinyals, Koray Kavukcuoglu
2016	—	`conf`	Cross-Dimensional Weighting for Aggregated Deep Convolutional Features. ECCV Workshops (1) Yannis Kalantidis, Clayton Mellina, Simon Osindero
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`	Recursive Recurrent Nets with Attention Modeling for OCR in the Wild. CVPR Chen-Yu Lee, Simon Osindero
2016	J	`jnl`	Recursive Recurrent Nets with Attention Modeling for OCR in the Wild. CoRR Chen-Yu Lee, Simon Osindero
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	A*	`conf`	What Makes Photo Cultures Different? ACM Multimedia Miriam Redi, Damon Crockett, Lev Manovich, Simon Osindero
2015	J	`jnl`	Cross-dimensional Weighting for Aggregated Deep Convolutional Features. CoRR Yannis Kalantidis, Clayton Mellina, Simon Osindero
2014	J	`jnl`	Conditional Generative Adversarial Nets. CoRR Mehdi Mirza, Simon Osindero
2007	—	`conf`	Modeling image patches with a directed hierarchy of Markov random fields. NIPS Simon Osindero, Geoffrey E. Hinton
2006	J	`jnl`	A Fast Learning Algorithm for Deep Belief Nets. Neural Comput. Geoffrey E. Hinton, Simon Osindero, Yee Whye Teh
2006	A*	`conf`	Combining discriminative features to infer complex trajectories. ICML David A. Ross, Simon Osindero, Richard S. Zemel
2006	J	`jnl`	Topographic Product Models Applied to Natural Scene Statistics. Neural Comput. Simon Osindero, Max Welling, Geoffrey E. Hinton
2006	J	`jnl`	Unsupervised Discovery of Nonlinear Structure Using Contrastive Backpropagation. Cogn. Sci. Geoffrey E. Hinton, Simon Osindero, Max Welling, Yee Whye Teh
2005	—	`conf`	An Alternative Infinite Mixture Of Gaussian Process Experts. NIPS Edward Meeds, Simon Osindero
2005	A	`conf`	Learning Causally Linked Markov Random Fields. AISTATS Geoffrey E. Hinton, Simon Osindero, Kejie Bao
2003	J	`jnl`	Energy-Based Models for Sparse Overcomplete Representations. J. Mach. Learn. Res. Yee Whye Teh, Max Welling, Simon Osindero, Geoffrey E. Hinton
2002	—	`conf`	Learning Sparse Topographic Representations with Products of Student-t Distributions. NIPS Max Welling, Geoffrey E. Hinton, Simon Osindero