Learning Sparse Topographic Representations with Products of Student-t Distributions. - Max Welling; Geoffrey E. Hinton; Simon Osindero (NIPS, 2002)

Energy-Based Models for Sparse Overcomplete Representations. - Yee Whye Teh; Max Welling; Simon Osindero; Geoffrey E. Hinton (J. Mach. Learn. Res., 2003)

Contrastive topographic models. - Simon Kayode Osindero (2004)

Learning Causally Linked Markov Random Fields. - Geoffrey E. Hinton; Simon Osindero; Kejie Bao (AISTATS, 2005)

An Alternative Infinite Mixture Of Gaussian Process Experts. - Edward Meeds; Simon Osindero (NIPS, 2005)

Combining discriminative features to infer complex trajectories. - David A. Ross; Simon Osindero; Richard S. Zemel (ICML, 2006)

Unsupervised Discovery of Nonlinear Structure Using Contrastive Backpropagation. - Geoffrey E. Hinton; Simon Osindero; Max Welling; Yee Whye Teh (Cogn. Sci., 2006)

A Fast Learning Algorithm for Deep Belief Nets. - Geoffrey E. Hinton; Simon Osindero; Yee Whye Teh (Neural Comput., 2006)

Topographic Product Models Applied to Natural Scene Statistics. - Simon Osindero; Max Welling; Geoffrey E. Hinton (Neural Comput., 2006)

Modeling image patches with a directed hierarchy of Markov random fields. - Simon Osindero; Geoffrey E. Hinton (NIPS, 2007)

Conditional Generative Adversarial Nets. - Mehdi Mirza; Simon Osindero (CoRR, 2014)

Recursive Recurrent Nets with Attention Modeling for OCR in the Wild. - Chen-Yu Lee; Simon Osindero (CVPR, 2016)

Cross-Dimensional Weighting for Aggregated Deep Convolutional Features. - Yannis Kalantidis; Clayton Mellina; Simon Osindero (ECCV Workshops (1), 2016)

What Makes Photo Cultures Different? - Miriam Redi; Damon Crockett; Lev Manovich; Simon Osindero (ACM Multimedia, 2016)

Strategic Attentive Writer for Learning Macro-Actions. - Alexander Vezhnevets; Volodymyr Mnih; Simon Osindero; Alex Graves; Oriol Vinyals; John P. Agapiou; Koray Kavukcuoglu (NIPS, 2016)

Decoupled Neural Interfaces using Synthetic Gradients. - Max Jaderberg; Wojciech Marian Czarnecki; Simon Osindero; Oriol Vinyals; Alex Graves; Koray Kavukcuoglu (CoRR, 2016)

Understanding Synthetic Gradients and Decoupled Neural Interfaces. - Wojciech Marian Czarnecki; Grzegorz Swirszcz; Max Jaderberg; Simon Osindero; Oriol Vinyals; Koray Kavukcuoglu (ICML, 2017)

Decoupled Neural Interfaces using Synthetic Gradients. - Max Jaderberg; Wojciech Marian Czarnecki; Simon Osindero; Oriol Vinyals; Alex Graves; David Silver; Koray Kavukcuoglu (ICML, 2017)

FeUdal Networks for Hierarchical Reinforcement Learning. - Alexander Sasha Vezhnevets; Simon Osindero; Tom Schaul; Nicolas Heess; Max Jaderberg; David Silver; Koray Kavukcuoglu (ICML, 2017)

Sobolev Training for Neural Networks. - Wojciech M. Czarnecki; Simon Osindero; Max Jaderberg; Grzegorz Swirszcz; Razvan Pascanu (NIPS, 2017)

Population Based Training of Neural Networks. - 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 (CoRR, 2017)

Beautiful and Damned. Combined Effect of Content Quality and Social Ties on User Engagement. - Luca Maria Aiello; Rossano Schifanella; Miriam Redi; Stacey Svetlichnaya; Frank Liu 004; Simon Osindero (IEEE Trans. Knowl. Data Eng., 2017)

Massively Parallel Video Networks. - João Carreira 001; Viorica Patraucean; Laurent Mazaré; Andrew Zisserman; Simon Osindero (ECCV (4), 2018)

Meta-learning by the baldwin effect. - Chrisantha Fernando; Jakub Sygnowski; Simon Osindero; Jane Wang 001; Tom Schaul; Denis Teplyashin; Pablo Sprechmann; Alexander Pritzel; Andrei A. Rusu (GECCO (Companion), 2018)

Mix & Match Agent Curricula for Reinforcement Learning. - Wojciech Marian Czarnecki; Siddhant M. Jayakumar; Max Jaderberg; Leonard Hasenclever; Yee Whye Teh; Nicolas Heess; Simon Osindero; Razvan Pascanu (ICML, 2018)

Kickstarting Deep Reinforcement Learning. - 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 (CoRR, 2018)

Distilling Policy Distillation. - Wojciech M. Czarnecki; Razvan Pascanu; Simon Osindero; Siddhant M. Jayakumar; Grzegorz Swirszcz; Max Jaderberg (AISTATS, 2019)

Meta-Learning with Latent Embedding Optimization. - Andrei A. Rusu; Dushyant Rao; Jakub Sygnowski; Oriol Vinyals; Razvan Pascanu; Simon Osindero; Raia Hadsell (ICLR (Poster), 2019)

Meta-learning of Sequential Strategies. - Pedro A. Ortega; Jane X. Wang; Mark Rowland 001; Tim Genewein; Zeb Kurth-Nelson; Razvan Pascanu; Nicolas Heess; Joel Veness; Alexander Pritzel; Pablo Sprechmann; Siddhant M. Jayakumar; Tom McGrath; et al. (CoRR, 2019)

Adapting Behaviour for Learning Progress. - Tom Schaul; Diana Borsa; David Ding; David Szepesvari; Georg Ostrovski; Will Dabney; Simon Osindero (CoRR, 2019)

A Deep Neural Network's Loss Surface Contains Every Low-dimensional Pattern. - Wojciech Marian Czarnecki; Simon Osindero; Razvan Pascanu; Max Jaderberg (CoRR, 2019)

Meta-Learning Deep Energy-Based Memory Models. - Sergey Bartunov; Jack W. Rae; Simon Osindero; Timothy P. Lillicrap (ICLR, 2020)

Multiplicative Interactions and Where to Find Them. - Siddhant M. Jayakumar; Wojciech M. Czarnecki; Jacob Menick; Jonathan Schwarz; Jack W. Rae; Simon Osindero; Yee Whye Teh; Tim Harley; Razvan Pascanu (ICLR, 2020)

Small Data, Big Decisions: Model Selection in the Small-Data Regime. - Jörg Bornschein; Francesco Visin; Simon Osindero (ICML, 2020)

Top-KAST: Top-K Always Sparse Training. - Siddhant M. Jayakumar; Razvan Pascanu; Jack W. Rae; Simon Osindero; Erich Elsen (NeurIPS, 2020)

A Practical Sparse Approximation for Real Time Recurrent Learning. - Jacob Menick; Erich Elsen; Utku Evci; Simon Osindero; Karen Simonyan; Alex Graves (CoRR, 2020)

AlgebraNets. - Jordan Hoffmann; Simon Schmitt; Simon Osindero; Karen Simonyan; Erich Elsen (CoRR, 2020)

From Language Games to Drawing Games. - Chrisantha Fernando; Daria Zenkova; Stanislav Nikolov; Simon Osindero (CoRR, 2020)

Contrastive Topographic Models: Energy-based density models applied to the understanding of sensory coding and cortical topography. - Simon Osindero (CoRR, 2020)

Practical Real Time Recurrent Learning with a Sparse Approximation. - Jacob Menick; Erich Elsen; Utku Evci; Simon Osindero; Karen Simonyan; Alex Graves (ICLR, 2021)

Entropic Desired Dynamics for Intrinsic Control. - Steven Hansen 001; Guillaume Desjardins; Kate Baumli; David Warde-Farley; Nicolas Heess; Simon Osindero; Volodymyr Mnih (NeurIPS, 2021)

Generative Art Using Neural Visual Grammars and Dual Encoders. - Chrisantha Fernando; S. M. Ali Eslami; Jean-Baptiste Alayrac; Piotr Mirowski; Dylan Banarse; Simon Osindero (CoRR, 2021)

Scaling Language Models: Methods, Analysis & Insights from Training Gopher. - 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; et al. (CoRR, 2021)

CLIP-CLOP: CLIP-Guided Collage and Photomontage. - Piotr Mirowski; Dylan Banarse; Mateusz Malinowski; Simon Osindero; Chrisantha Fernando (ICCC, 2022)

Improving Language Models by Retrieving from Trillions of Tokens. - Sebastian Borgeaud; Arthur Mensch; Jordan Hoffmann; Trevor Cai; Eliza Rutherford; Katie Millican; George van den Driessche 002; Jean-Baptiste Lespiau; Bogdan Damoc; Aidan Clark; Diego de Las Casas; Aurelia Guy; et al. (ICML, 2022)

Unified Scaling Laws for Routed Language Models. - 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 002; Eliza Rutherford; et al. (ICML, 2022)

Model-Value Inconsistency as a Signal for Epistemic Uncertainty. - Angelos Filos; Eszter Vértes; Zita Marinho; Gregory Farquhar; Diana Borsa; Abram L. Friesen; Feryal M. P. Behbahani; Tom Schaul; André Barreto 001; Simon Osindero (ICML, 2022)

Retrieval-Augmented Reinforcement Learning. - 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; et al. (ICML, 2022)

An empirical analysis of compute-optimal large language model training. - 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; et al. (NeurIPS, 2022)

Unified Scaling Laws for Routed Language Models. - 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 002; Eliza Rutherford; et al. (CoRR, 2022)

Retrieval-Augmented Reinforcement Learning. - 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; et al. (CoRR, 2022)

Training Compute-Optimal Large Language Models. - 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; et al. (CoRR, 2022)

Perception Test: A Diagnostic Benchmark for Multimodal Video Models. - Viorica Patraucean; Lucas Smaira; Ankush Gupta 001; Adrià Recasens; Larisa Markeeva; Dylan Banarse; Skanda Koppula; Joseph Heyward; Mateusz Malinowski; Yi Yang 007; Carl Doersch; Tatiana Matejovicova; et al. (NeurIPS, 2023)

Solving MaxSAT with Matrix Multiplication. - David Warde-Farley; Vinod Nair; Yujia Li 001; Ivan Lobov; Felix Gimeno; Simon Osindero (CoRR, 2023)

Generative agent-based modeling with actions grounded in physical, social, or digital space using Concordia. - 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 (CoRR, 2023)

Genie: Generative Interactive Environments. - Jake Bruce; Michael D. Dennis; Ashley Edwards; Jack Parker-Holder; Yuge Shi; Edward Hughes 001; Matthew Lai; Aditi Mavalankar; Richie Steigerwald; Chris Apps; Yusuf Aytar; Sarah Bechtle; et al. (ICML, 2024)

Promptbreeder: Self-Referential Self-Improvement via Prompt Evolution. - Chrisantha Fernando; Dylan Banarse; Henryk Michalewski; Simon Osindero; Tim Rocktäschel (ICML, 2024)

The origin and function of external representations. - Chrisantha Fernando; Simon Osindero; Dylan Banarse (Adapt. Behav., 2024)

Neural Compression of Atmospheric States. - Piotr Mirowski; David Warde-Farley; Mihaela Rosca; Matthew Koichi Grimes; Yana Hasson; Hyunjik Kim; Mélanie Rey; Simon Osindero; Suman V. Ravuri; Shakir Mohamed (CoRR, 2024)

TRecViT: A Recurrent Video Transformer. - Viorica Patraucean; Xu Owen He; Joseph Heyward; Chuhan Zhang; Mehdi S. M. Sajjadi; George-Cristian Muraru; Artem Zholus; Mahdi Karami; Ross Goroshin; Yutian Chen 001; Simon Osindero; João Carreira 001; et al. (CoRR, 2024)

A theory of appropriateness with applications to generative artificial intelligence. - 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; et al. (CoRR, 2024)

Wanting to be Understood. - Chrisantha Fernando; Dylan Banarse; Simon Osindero (CoRR, 2025)

Societal and technological progress as sewing an ever-growing, ever-changing, patchy, and polychrome quilt. - Joel Z. Leibo; Alexander Sasha Vezhnevets; William A. Cunningham; Sébastien Krier; Manfred Diaz; Simon Osindero (CoRR, 2025)

Wanting to Be Understood Explains the Meta-Problem of Consciousness. - Chrisantha Fernando; Dylan Banarse; Simon Osindero (CoRR, 2025)

How Overconfidence in Initial Choices and Underconfidence Under Criticism Modulate Change of Mind in Large Language Models. - Dharshan Kumaran; Stephen M. Fleming; Larisa Markeeva; Joe Heyward; Andrea Banino; Mrinal Mathur; Razvan Pascanu; Simon Osindero; Benedetto De Martino; Petar Velickovic; Viorica Patraucean (CoRR, 2025)

Multi-Actor Generative Artificial Intelligence as a Game Engine. - Alexander Sasha Vezhnevets; Jayd Matyas; Logan Cross; Davide Paglieri; Minsuk Chang; William A. Cunningham; Simon Osindero; William S. Isaac; Joel Z. Leibo (CoRR, 2025)