Blundell, Charles

45 publications

ICML 2024 Improving Fine-Grained Understanding in Image-Text Pre-Training Ioana Bica, Anastasija Ilic, Matthias Bauer, Goker Erdogan, Matko Bošnjak, Christos Kaplanis, Alexey A. Gritsenko, Matthias Minderer, Charles Blundell, Razvan Pascanu, Jovana Mitrovic

ICLR 2024 Unlocking the Power of Representations in Long-Term Novelty-Based Exploration Alaa Saade, Steven Kapturowski, Daniele Calandriello, Charles Blundell, Pablo Sprechmann, Leopoldo Sarra, Oliver Groth, Michal Valko, Bilal Piot

ICLR 2023 Human-Level Atari 200x Faster Steven Kapturowski, Víctor Campos, Ray Jiang, Nemanja Rakicevic, Hado van Hasselt, Charles Blundell, Adria Puigdomenech Badia

ICML 2023 Neural Algorithmic Reasoning with Causal Regularisation Beatrice Bevilacqua, Kyriacos Nikiforou, Borja Ibarz, Ioana Bica, Michela Paganini, Charles Blundell, Jovana Mitrovic, Petar Veličković

ICLR 2023 SemPPL: Predicting Pseudo-Labels for Better Contrastive Representations Matko Bošnjak, Pierre Harvey Richemond, Nenad Tomasev, Florian Strub, Jacob C Walker, Felix Hill, Lars Holger Buesing, Razvan Pascanu, Charles Blundell, Jovana Mitrovic

NeurIPSW 2023 Unlocking the Power of Representations in Long-Term Novelty-Based Exploration Steven Kapturowski, Alaa Saade, Daniele Calandriello, Charles Blundell, Pablo Sprechmann, Leopoldo Sarra, Oliver Groth, Michal Valko, Bilal Piot

LoG 2022 A Generalist Neural Algorithmic Learner Borja Ibarz, Vitaly Kurin, George Papamakarios, Kyriacos Nikiforou, Mehdi Bennani, Róbert Csordás, Andrew Joseph Dudzik, Matko Bošnjak, Alex Vitvitskyi, Yulia Rubanova, Andreea Deac, Beatrice Bevilacqua, Yaroslav Ganin, Charles Blundell, Petar Veličković

ICLR 2022 CoBERL: Contrastive BERT for Reinforcement Learning Andrea Banino, Adria Puigdomenech Badia, Jacob C Walker, Tim Scholtes, Jovana Mitrovic, Charles Blundell

ICLR 2022 Coordination Among Neural Modules Through a Shared Global Workspace Anirudh Goyal, Aniket Rajiv Didolkar, Alex Lamb, Kartikeya Badola, Nan Rosemary Ke, Nasim Rahaman, Jonathan Binas, Charles Blundell, Michael Curtis Mozer, Yoshua Bengio

ICMLW 2022 Pushing the Limits of Self-Supervised ResNets: Can We Outperform Supervised Learning Without Labels on ImageNet? Nenad Tomasev, Ioana Bica, Brian McWilliams, Lars Holger Buesing, Razvan Pascanu, Charles Blundell, Jovana Mitrovic

LoG 2022 Reasoning-Modulated Representations Petar Veličković, Matko Bošnjak, Thomas Kipf, Alexander Lerchner, Raia Hadsell, Razvan Pascanu, Charles Blundell

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 The CLRS Algorithmic Reasoning Benchmark Petar Veličković, Adrià Puigdomènech Badia, David Budden, Razvan Pascanu, Andrea Banino, Misha Dashevskiy, Raia Hadsell, Charles Blundell

ICMLW 2021 Beyond Fine-Tuning: Transferring Behavior in Reinforcement Learning Víctor Campos, Pablo Sprechmann, Steven Stenberg Hansen, Andre Barreto, Steven Kapturowski, Alex Vitvitskyi, Adria Puigdomenech Badia, Charles Blundell

ICMLW 2021 CoBERL: Contrastive BERT for Reinforcement Learning Andrea Banino, Adria Puigdomenech Badia, Jacob C Walker, Tim Scholtes, Jovana Mitrovic, Charles Blundell

ICML 2021 Emphatic Algorithms for Deep Reinforcement Learning Ray Jiang, Tom Zahavy, Zhongwen Xu, Adam White, Matteo Hessel, Charles Blundell, Hado Van Hasselt

ICLR 2021 Factorizing Declarative and Procedural Knowledge in Structured, Dynamical Environments Anirudh Goyal, Alex Lamb, Phanideep Gampa, Philippe Beaudoin, Charles Blundell, Sergey Levine, Yoshua Bengio, Michael Curtis Mozer

NeurIPS 2021 Neural Production Systems Anirudh Goyal ALIAS PARTH Goyal, Aniket Didolkar, Nan Rosemary Ke, Charles Blundell, Philippe Beaudoin, Nicolas Heess, Michael Mozer, Yoshua Bengio

ICLRW 2021 Persistent Message Passing Heiko Strathmann, Mohammadamin Barekatain, Charles Blundell, Petar Veličković

ICMLW 2021 PonderNet: Learning to Ponder Andrea Banino, Jan Balaguer, Charles Blundell

ICLR 2021 Representation Learning via Invariant Causal Mechanisms Jovana Mitrovic, Brian McWilliams, Jacob C Walker, Lars Holger Buesing, Charles Blundell

ICML 2020 Agent57: Outperforming the Atari Human Benchmark Adrià Puigdomènech Badia, Bilal Piot, Steven Kapturowski, Pablo Sprechmann, Alex Vitvitskyi, Zhaohan Daniel Guo, Charles Blundell

ICLR 2020 MEMO: A Deep Network for Flexible Combination of Episodic Memories Andrea Banino, Adrià Puigdomènech Badia, Raphael Köster, Martin J. Chadwick, Vinicius Zambaldi, Demis Hassabis, Caswell Barry, Matthew Botvinick, Dharshan Kumaran, Charles Blundell

ICLR 2020 Neural Execution of Graph Algorithms Petar Veličković, Rex Ying, Matilde Padovano, Raia Hadsell, Charles Blundell

ICLR 2020 Never Give up: Learning Directed Exploration Strategies Adrià Puigdomènech Badia, Pablo Sprechmann, Alex Vitvitskyi, Daniel Guo, Bilal Piot, Steven Kapturowski, Olivier Tieleman, Martín Arjovsky, Alexander Pritzel, Andew Bolt, Charles Blundell

NeurIPS 2020 Pointer Graph Networks Petar Veličković, Lars Buesing, Matthew Overlan, Razvan Pascanu, Oriol Vinyals, Charles Blundell

NeurIPS 2019 Generalization of Reinforcement Learners with Working and Episodic Memory Meire Fortunato, Melissa Tan, Ryan Faulkner, Steven Hansen, Adrià Puigdomènech Badia, Gavin Buttimore, Charles Deck, Joel Z. Leibo, Charles Blundell

ICML 2018 Been There, Done That: Meta-Learning with Episodic Recall Samuel Ritter, Jane Wang, Zeb Kurth-Nelson, Siddhant Jayakumar, Charles Blundell, Razvan Pascanu, Matthew Botvinick

NeurIPS 2018 Fast Deep Reinforcement Learning Using Online Adjustments from the past Steven Hansen, Alexander Pritzel, Pablo Sprechmann, Andre Barreto, Charles Blundell

ICLR 2018 Memory-Based Parameter Adaptation Pablo Sprechmann, Siddhant M. Jayakumar, Jack W. Rae, Alexander Pritzel, Adria Puigdomenech Badia, Benigno Uria, Oriol Vinyals, Demis Hassabis, Razvan Pascanu, Charles Blundell

ICLR 2018 Noisy Networks for Exploration Meire Fortunato, Mohammad Gheshlaghi Azar, Bilal Piot, Jacob Menick, Matteo Hessel, Ian Osband, Alex Graves, Volodymyr Mnih, Remi Munos, Demis Hassabis, Olivier Pietquin, Charles Blundell, Shane Legg

ICML 2017 DARLA: Improving Zero-Shot Transfer in Reinforcement Learning Irina Higgins, Arka Pal, Andrei Rusu, Loic Matthey, Christopher Burgess, Alexander Pritzel, Matthew Botvinick, Charles Blundell, Alexander Lerchner

JMLR 2017 Distributed Bayesian Learning with Stochastic Natural Gradient Expectation Propagation and the Posterior Server Leonard Hasenclever, Stefan Webb, Thibaut Lienart, Sebastian Vollmer, Balaji Lakshminarayanan, Charles Blundell, Yee Whye Teh

ICML 2017 Neural Episodic Control Alexander Pritzel, Benigno Uria, Sriram Srinivasan, Adrià Puigdomènech Badia, Oriol Vinyals, Demis Hassabis, Daan Wierstra, Charles Blundell

NeurIPS 2017 Simple and Scalable Predictive Uncertainty Estimation Using Deep Ensembles Balaji Lakshminarayanan, Alexander Pritzel, Charles Blundell

NeurIPS 2016 Deep Exploration via Bootstrapped DQN Ian Osband, Charles Blundell, Alexander Pritzel, Benjamin Van Roy

NeurIPS 2016 Matching Networks for One Shot Learning Oriol Vinyals, Charles Blundell, Timothy Lillicrap, Koray Kavukcuoglu, Daan Wierstra

AISTATS 2015 The Bayesian Echo Chamber: Modeling Social Influence via Linguistic Accommodation Fangjian Guo, Charles Blundell, Hanna M. Wallach, Katherine A. Heller

ICML 2015 Weight Uncertainty in Neural Network Charles Blundell, Julien Cornebise, Koray Kavukcuoglu, Daan Wierstra

ICML 2014 Deep AutoRegressive Networks Karol Gregor, Ivo Danihelka, Andriy Mnih, Charles Blundell, Daan Wierstra

NeurIPS 2013 Bayesian Hierarchical Community Discovery Charles Blundell, Yee Whye Teh

NeurIPS 2012 Modelling Reciprocating Relationships with Hawkes Processes Charles Blundell, Jeff Beck, Katherine A. Heller

AISTATS 2011 Mixed Cumulative Distribution Networks Ricardo Silva, Charles Blundell, Yee Whye Teh

NeurIPS 2011 Modelling Genetic Variations Using Fragmentation-Coagulation Processes Yee W. Teh, Charles Blundell, Lloyd Elliott

UAI 2010 Bayesian Rose Trees Charles Blundell, Yee Whye Teh, Katherine A. Heller