Osindero, Simon

34 publications

TMLR 2026 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, Simon Osindero, Joao Carreira, Razvan Pascanu

ICML 2024 Genie: Generative Interactive Environments 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 Maria Elisabeth Bechtle, Feryal Behbahani, Stephanie C.Y. Chan, Nicolas Heess, Lucy Gonzalez, Simon Osindero, Sherjil Ozair, Scott Reed, Jingwei Zhang, Konrad Zolna, Jeff Clune, Nando De Freitas, Satinder Singh, Tim Rocktäschel

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

NeurIPS 2023 Perception Test: A Diagnostic Benchmark for Multimodal Video Models Viorica Patraucean, Lucas Smaira, Ankush Gupta, Adria 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, Joao Carreira

NeurIPS 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, Thomas Hennigan, Eric Noland, Katherine Millican, George van den Driessche, Bogdan Damoc, Aurelia Guy, Simon Osindero, Karén Simonyan, Erich Elsen, Oriol Vinyals, Jack Rae, Laurent Sifre

ICML 2022 Improving Language Models by Retrieving from Trillions of Tokens Sebastian Borgeaud, Arthur Mensch, Jordan Hoffmann, Trevor Cai, Eliza Rutherford, Katie Millican, George Bm 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 Rae, Erich Elsen, Laurent Sifre

ICML 2022 Model-Value Inconsistency as a Signal for Epistemic Uncertainty Angelos Filos, Eszter Vértes, Zita Marinho, Gregory Farquhar, Diana Borsa, Abram Friesen, Feryal Behbahani, Tom Schaul, Andre Barreto, Simon Osindero

ICLRW 2022 Model-Value Inconsistency as a Signal for Epistemic Uncertainty Angelos Filos, Eszter Vértes, Zita Marinho, Gregory Farquhar, Diana L Borsa, Abram L. Friesen, Feryal Behbahani, Tom Schaul, Andre Barreto, Simon Osindero

ICML 2022 Retrieval-Augmented Reinforcement Learning Anirudh Goyal, Abram Friesen, Andrea Banino, Theophane Weber, Nan Rosemary Ke, Adrià Puigdomènech Badia, Arthur Guez, Mehdi Mirza, Peter C Humphreys, Ksenia Konyushova, Michal Valko, Simon Osindero, Timothy Lillicrap, Nicolas Heess, Charles Blundell

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 Hechtman, Trevor Cai, Sebastian Borgeaud, George Bm 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 Rae, Erich Elsen, Koray Kavukcuoglu, Karen Simonyan

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

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

ICLR 2020 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 Rae, Simon Osindero, Yee Whye Teh, Tim Harley, Razvan Pascanu

ICML 2020 Small Data, Big Decisions: Model Selection in the Small-Data Regime Jorg Bornschein, Francesco Visin, Simon Osindero

NeurIPS 2020 Top-KAST: Top-K Always Sparse Training Siddhant Jayakumar, Razvan Pascanu, Jack Rae, Simon Osindero, Erich Elsen

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

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

ECCV 2018 Massively Parallel Video Networks Joao Carreira, Viorica Patraucean, Laurent Mazare, Andrew Zisserman, Simon Osindero

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

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

NeurIPS 2017 Sobolev Training for Neural Networks Wojciech M. Czarnecki, Simon Osindero, Max Jaderberg, Grzegorz Swirszcz, Razvan Pascanu

ICML 2017 Understanding Synthetic Gradients and Decoupled Neural Interfaces Wojciech Marian Czarnecki, Grzegorz Świrszcz, Max Jaderberg, Simon Osindero, Oriol Vinyals, Koray Kavukcuoglu

ECCV 2016 Cross-Dimensional Weighting for Aggregated Deep Convolutional Features Yannis Kalantidis, Clayton Mellina, Simon Osindero

ECCVW 2016 Cross-Dimensional Weighting for Aggregated Deep Convolutional Features Yannis Kalantidis, Clayton Mellina, Simon Osindero

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

NeurIPS 2016 Strategic Attentive Writer for Learning Macro-Actions Alexander Vezhnevets, Volodymyr Mnih, Simon Osindero, Alex Graves, Oriol Vinyals, John Agapiou, Koray Kavukcuoglu

NeurIPS 2007 Modeling Image Patches with a Directed Hierarchy of Markov Random Fields Simon Osindero, Geoffrey E. Hinton

ICML 2006 Combining Discriminative Features to Infer Complex Trajectories David A. Ross, Simon Osindero, Richard S. Zemel

NeurIPS 2005 An Alternative Infinite Mixture of Gaussian Process Experts Edward Meeds, Simon Osindero

AISTATS 2005 Learning Causally Linked Markov Random Fields Geoffrey Hinton, Simon Osindero, Kejie Bao

JMLR 2003 Energy-Based Models for Sparse Overcomplete Representations Yee Whye Teh, Max Welling, Simon Osindero, Geoffrey E. Hinton

NeurIPS 2002 Learning Sparse Topographic Representations with Products of Student-T Distributions Max Welling, Simon Osindero, Geoffrey E. Hinton