Charles Blundell

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 81

Top Topics

Bayesian Learning

Learning Systems

Reinforcement Learning

Top Venues

Publications

Larisa Markeeva, Sean McLeish, Borja Ibarz, Wilfried Bounsi, Olga Kozlova, Alex Vitvitskyi, Charles Blundell, Tom Goldstein, Avi Schwarzschild, Petar Velickovic
The CLRS-Text Algorithmic Reasoning Language Benchmark. CoRR (2024)
Sahand Sharifzadeh, Christos Kaplanis, Shreya Pathak, Dharshan Kumaran, Anastasija Ilic, Jovana Mitrovic, Charles Blundell, Andrea Banino
: Boosting Visual-Language Models with Synthetic Captions and Image Embeddings. CoRR (2024)
Alaa Saade, Steven Kapturowski, Daniele Calandriello, Charles Blundell, Pablo Sprechmann, Leopoldo Sarra, Oliver Groth, Michal Valko, Bilal Piot
Unlocking the Power of Representations in Long-term Novelty-based Exploration. ICLR (2024)
Ioana Bica, Anastasija Ilic, Matthias Bauer, Goker Erdogan, Matko Bosnjak, Christos Kaplanis, Alexey A. Gritsenko, Matthias Minderer, Charles Blundell, Razvan Pascanu, Jovana Mitrovic
Improving fine-grained understanding in image-text pre-training. CoRR (2024)
Steven Kapturowski, Victor Campos, Ray Jiang, Nemanja Rakicevic, Hado van Hasselt, Charles Blundell, Adrià Puigdomènech Badia
Human-level Atari 200x faster. ICLR (2023)
Alaa Saade, Steven Kapturowski, Daniele Calandriello, Charles Blundell, Pablo Sprechmann, Leopoldo Sarra, Oliver Groth, Michal Valko, Bilal Piot
Unlocking the Power of Representations in Long-term Novelty-based Exploration. CoRR (2023)
Beatrice Bevilacqua, Kyriacos Nikiforou, Borja Ibarz, Ioana Bica, Michela Paganini, Charles Blundell, Jovana Mitrovic, Petar Velickovic
Neural Algorithmic Reasoning with Causal Regularisation. ICML (2023)
Matko Bosnjak, Pierre H. Richemond, Nenad Tomasev, Florian Strub, Jacob C. Walker, Felix Hill, Lars Holger Buesing, Razvan Pascanu, Charles Blundell, Jovana Mitrovic
SemPPL: Predicting pseudo-labels for better contrastive representations. CoRR (2023)
Matko Bosnjak, Pierre Harvey Richemond, Nenad Tomasev, Florian Strub, Jacob C. Walker, Felix Hill, Lars Holger Buesing, Razvan Pascanu, Charles Blundell, Jovana Mitrovic
SemPPL: Predicting Pseudo-Labels for Better Contrastive Representations. ICLR (2023)
Beatrice Bevilacqua, Kyriacos Nikiforou, Borja Ibarz, Ioana Bica, Michela Paganini, Charles Blundell, Jovana Mitrovic, Petar Velickovic
Neural Algorithmic Reasoning with Causal Regularisation. CoRR (2023)
Anirudh Goyal, Abram L. Friesen, Andrea Banino, Theophane Weber, Nan Rosemary Ke, Adrià Puigdomènech Badia, Arthur Guez, Mehdi Mirza, Peter C. Humphreys, Ksenia Konyushkova, Michal Valko, Simon Osindero, Timothy P. Lillicrap, Nicolas Heess, Charles Blundell
Retrieval-Augmented Reinforcement Learning. ICML (2022)
Nenad Tomasev, Ioana Bica, Brian McWilliams, Lars Buesing, Razvan Pascanu, Charles Blundell, Jovana Mitrovic
Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet? CoRR (2022)
Steven Kapturowski, Víctor Campos, Ray Jiang, Nemanja Rakicevic, Hado van Hasselt, Charles Blundell, Adrià Puigdomènech Badia
Human-level Atari 200x faster. CoRR (2022)
Petar Velickovic, Adrià Puigdomènech Badia, David Budden, Razvan Pascanu, Andrea Banino, Misha Dashevskiy, Raia Hadsell, Charles Blundell
The CLRS Algorithmic Reasoning Benchmark. CoRR (2022)
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 (2022)
Petar Velickovic, Matko Bosnjak, Thomas Kipf, Alexander Lerchner, Raia Hadsell, Razvan Pascanu, Charles Blundell
Reasoning-Modulated Representations. LoG (2022)
Petar Velickovic, Adrià Puigdomènech Badia, David Budden, Razvan Pascanu, Andrea Banino, Misha Dashevskiy, Raia Hadsell, Charles Blundell
The CLRS Algorithmic Reasoning Benchmark. ICML (2022)
Borja Ibarz, Vitaly Kurin, George Papamakarios, Kyriacos Nikiforou, Mehdi Bennani, Róbert Csordás, Andrew Joseph Dudzik, Matko Bosnjak, Alex Vitvitskyi, Yulia Rubanova, Andreea Deac, Beatrice Bevilacqua, Yaroslav Ganin, Charles Blundell, Petar Velickovic
A Generalist Neural Algorithmic Learner. LoG (2022)
Anirudh Goyal, Aniket Rajiv Didolkar, Alex Lamb, Kartikeya Badola, Nan Rosemary Ke, Nasim Rahaman, Jonathan Binas, Charles Blundell, Michael Curtis Mozer, Yoshua Bengio
Coordination Among Neural Modules Through a Shared Global Workspace. ICLR (2022)
Peter Wirnsberger, George Papamakarios, Borja Ibarz, Sébastien Racanière, Andrew J. Ballard, Alexander Pritzel, Charles Blundell
Normalizing flows for atomic solids. Mach. Learn. Sci. Technol. 3 (2) (2022)
Borja Ibarz, Vitaly Kurin, George Papamakarios, Kyriacos Nikiforou, Mehdi Bennani, Róbert Csordás, Andrew Dudzik, Matko Bosnjak, Alex Vitvitskyi, Yulia Rubanova, Andreea Deac, Beatrice Bevilacqua, Yaroslav Ganin, Charles Blundell, Petar Velickovic
A Generalist Neural Algorithmic Learner. CoRR (2022)
Andrea Banino, Adrià Puigdomènech Badia, Jacob C. Walker, Tim Scholtes, Jovana Mitrovic, Charles Blundell
CoBERL: Contrastive BERT for Reinforcement Learning. ICLR (2022)
Anirudh Goyal, Alex Lamb, Phanideep Gampa, Philippe Beaudoin, Charles Blundell, Sergey Levine, Yoshua Bengio, Michael Curtis Mozer
Factorizing Declarative and Procedural Knowledge in Structured, Dynamical Environments. ICLR (2021)
Aniket Didolkar, Anirudh Goyal, Nan Rosemary Ke, Charles Blundell, Philippe Beaudoin, Nicolas Heess, Michael Mozer, Yoshua Bengio
Neural Production Systems. NeurIPS (2021)
Jovana Mitrovic, Brian McWilliams, Jacob C. Walker, Lars Holger Buesing, Charles Blundell
Representation Learning via Invariant Causal Mechanisms. ICLR (2021)
Ray Jiang, Tom Zahavy, Zhongwen Xu, Adam White, Matteo Hessel, Charles Blundell, Hado van Hasselt
Emphatic Algorithms for Deep Reinforcement Learning. ICML (2021)
Heiko Strathmann, Mohammadamin Barekatain, Charles Blundell, Petar Velickovic
Persistent Message Passing. CoRR (2021)
Petar Velickovic, Matko Bosnjak, Thomas Kipf, Alexander Lerchner, Raia Hadsell, Razvan Pascanu, Charles Blundell
Reasoning-Modulated Representations. CoRR (2021)
Anirudh Goyal, Aniket Didolkar, Nan Rosemary Ke, Charles Blundell, Philippe Beaudoin, Nicolas Heess, Michael Mozer, Yoshua Bengio
Neural Production Systems. CoRR (2021)
Anirudh Goyal, Aniket Didolkar, Alex Lamb, Kartikeya Badola, Nan Rosemary Ke, Nasim Rahaman, Jonathan Binas, Charles Blundell, Michael Mozer, Yoshua Bengio
Coordination Among Neural Modules Through a Shared Global Workspace. CoRR (2021)
Ray Jiang, Tom Zahavy, Zhongwen Xu, Adam White, Matteo Hessel, Charles Blundell, Hado van Hasselt
Emphatic Algorithms for Deep Reinforcement Learning. CoRR (2021)
Alex Davies, Petar Velickovic, Lars Buesing, Sam Blackwell, Daniel Zheng, Nenad Tomasev, Richard Tanburn, Peter W. Battaglia, Charles Blundell, András Juhász, Marc Lackenby, Geordie Williamson, Demis Hassabis, Pushmeet Kohli
Advancing mathematics by guiding human intuition with AI. Nat. 600 (7887) (2021)
Andrea Banino, Jan Balaguer, Charles Blundell
PonderNet: Learning to Ponder. CoRR (2021)
Petar Velickovic, Charles Blundell
Neural algorithmic reasoning. Patterns 2 (7) (2021)
Petar Velickovic, Charles Blundell
Neural Algorithmic Reasoning. CoRR (2021)
Andrea Banino, Adrià Puigdomènech Badia, Jacob C. Walker, Tim Scholtes, Jovana Mitrovic, Charles Blundell
CoBERL: Contrastive BERT for Reinforcement Learning. CoRR (2021)
Víctor Campos, Pablo Sprechmann, Steven Hansen, André Barreto, Steven Kapturowski, Alex Vitvitskyi, Adrià Puigdomènech Badia, Charles Blundell
Coverage as a Principle for Discovering Transferable Behavior in Reinforcement Learning. CoRR (2021)
Adrià Puigdomènech Badia, Bilal Piot, Steven Kapturowski, Pablo Sprechmann, Alex Vitvitskyi, Zhaohan Daniel Guo, Charles Blundell
Agent57: Outperforming the Atari Human Benchmark. ICML (2020)
Adrià Puigdomènech Badia, Bilal Piot, Steven Kapturowski, Pablo Sprechmann, Alex Vitvitskyi, Zhaohan Daniel Guo, Charles Blundell
Agent57: Outperforming the Atari Human Benchmark. CoRR (2020)
Petar Velickovic, Rex Ying, Matilde Padovano, Raia Hadsell, Charles Blundell
Neural Execution of Graph Algorithms. ICLR (2020)
Anirudh Goyal, Alex Lamb, Phanideep Gampa, Philippe Beaudoin, Sergey Levine, Charles Blundell, Yoshua Bengio, Michael Mozer
Object Files and Schemata: Factorizing Declarative and Procedural Knowledge in Dynamical Systems. CoRR (2020)
Andrea Banino, Adrià Puigdomènech Badia, Raphael Köster, Martin J. Chadwick, Vinícius Flores Zambaldi, Demis Hassabis, Caswell Barry, Matthew Botvinick, Dharshan Kumaran, Charles Blundell
MEMO: A Deep Network for Flexible Combination of Episodic Memories. ICLR (2020)
Petar Velickovic, Lars Buesing, Matthew C. Overlan, Razvan Pascanu, Oriol Vinyals, Charles Blundell
Pointer Graph Networks. CoRR (2020)
Adrià Puigdomènech Badia, Pablo Sprechmann, Alex Vitvitskyi, Zhaohan Daniel Guo, Bilal Piot, Steven Kapturowski, Olivier Tieleman, Martín Arjovsky, Alexander Pritzel, Andrew Bolt, Charles Blundell
Never Give Up: Learning Directed Exploration Strategies. CoRR (2020)
Andrea Banino, Adrià Puigdomènech Badia, Raphael Köster, Martin J. Chadwick, Vinícius Flores Zambaldi, Demis Hassabis, Caswell Barry, Matthew Botvinick, Dharshan Kumaran, Charles Blundell
MEMO: A Deep Network for Flexible Combination of Episodic Memories. CoRR (2020)
Adrià Puigdomènech Badia, Pablo Sprechmann, Alex Vitvitskyi, Zhaohan Daniel Guo, Bilal Piot, Steven Kapturowski, Olivier Tieleman, Martín Arjovsky, Alexander Pritzel, Andrew Bolt, Charles Blundell
Never Give Up: Learning Directed Exploration Strategies. ICLR (2020)
Petar Velickovic, Lars Buesing, Matthew C. Overlan, Razvan Pascanu, Oriol Vinyals, Charles Blundell
Pointer Graph Networks. NeurIPS (2020)
Jovana Mitrovic, Brian McWilliams, Jacob C. Walker, Lars Buesing, Charles Blundell
Representation Learning via Invariant Causal Mechanisms. CoRR (2020)
Olivier Tieleman, Angeliki Lazaridou, Shibl Mourad, Charles Blundell, Doina Precup
Shaping representations through communication: community size effect in artificial learning systems. CoRR (2019)
Meire Fortunato, Melissa Tan, Ryan Faulkner, Steven Hansen, Adrià Puigdomènech Badia, Gavin Buttimore, Charlie Deck, Joel Z. Leibo, Charles Blundell
Generalization of Reinforcement Learners with Working and Episodic Memory. NeurIPS (2019)
Olivier Tieleman, Angeliki Lazaridou, Shibl Mourad, Charles Blundell, Doina Precup
Community size effect in artificial learning systems. ViGIL@NeurIPS (2019)
Petar Velickovic, Rex Ying, Matilde Padovano, Raia Hadsell, Charles Blundell
Neural Execution of Graph Algorithms. CoRR (2019)
Meire Fortunato, Melissa Tan, Ryan Faulkner, Steven Hansen, Adrià Puigdomènech Badia, Gavin Buttimore, Charlie Deck, Joel Z. Leibo, Charles Blundell
Generalization of Reinforcement Learners with Working and Episodic Memory. CoRR (2019)
Steven Hansen, Alexander Pritzel, Pablo Sprechmann, André Barreto, Charles Blundell
Fast deep reinforcement learning using online adjustments from the past. NeurIPS (2018)
Andrea Banino, Caswell Barry, Benigno Uria, Charles Blundell, Timothy P. Lillicrap, Piotr Mirowski, Alexander Pritzel, Martin J. Chadwick, Thomas Degris, Joseph Modayil, Greg Wayne, Hubert Soyer, Fabio Viola, Brian Zhang, Ross Goroshin, Neil C. Rabinowitz, Razvan Pascanu, Charlie Beattie, Stig Petersen, Amir Sadik, Stephen Gaffney, Helen King, Koray Kavukcuoglu, Demis Hassabis, Raia Hadsell, Dharshan Kumaran
Vector-based navigation using grid-like representations in artificial agents. Nat. 557 (7705) (2018)
Pablo Sprechmann, Siddhant M. Jayakumar, Jack W. Rae, Alexander Pritzel, Adrià Puigdomènech Badia, Benigno Uria, Oriol Vinyals, Demis Hassabis, Razvan Pascanu, Charles Blundell
Memory-based Parameter Adaptation. ICLR (Poster) (2018)
Steven Hansen, Pablo Sprechmann, Alexander Pritzel, André Barreto, Charles Blundell
Fast deep reinforcement learning using online adjustments from the past. CoRR (2018)
Samuel Ritter, Jane X. Wang, Zeb Kurth-Nelson, Siddhant M. Jayakumar, Charles Blundell, Razvan Pascanu, Matthew Botvinick
Been There, Done That: Meta-Learning with Episodic Recall. ICML (2018)
Pablo Sprechmann, Siddhant M. Jayakumar, Jack W. Rae, Alexander Pritzel, Adrià Puigdomènech Badia, Benigno Uria, Oriol Vinyals, Demis Hassabis, Razvan Pascanu, Charles Blundell
Memory-based Parameter Adaptation. CoRR (2018)
Gábor Melis, Charles Blundell, Tomás Kociský, Karl Moritz Hermann, Chris Dyer, Phil Blunsom
Pushing the bounds of dropout. CoRR (2018)
Samuel Ritter, Jane X. Wang, Zeb Kurth-Nelson, Siddhant M. Jayakumar, Charles Blundell, Razvan Pascanu, Matthew Botvinick
Been There, Done That: Meta-Learning with Episodic Recall. CoRR (2018)
Meire Fortunato, Mohammad Gheshlaghi Azar, Bilal Piot, Jacob Menick, Matteo Hessel, Ian Osband, Alex Graves, Volodymyr Mnih, Rémi Munos, Demis Hassabis, Olivier Pietquin, Charles Blundell, Shane Legg
Noisy Networks For Exploration. ICLR (Poster) (2018)
Irina Higgins, Arka Pal, Andrei A. Rusu, Loïc Matthey, Christopher Burgess, Alexander Pritzel, Matthew Botvinick, Charles Blundell, Alexander Lerchner
DARLA: Improving Zero-Shot Transfer in Reinforcement Learning. CoRR (2017)
Leonard Hasenclever, Stefan Webb, Thibaut Lienart, Sebastian J. Vollmer, Balaji Lakshminarayanan, Charles Blundell, Yee Whye Teh
Distributed Bayesian Learning with Stochastic Natural Gradient Expectation Propagation and the Posterior Server. J. Mach. Learn. Res. 18 (2017)
Alexander Pritzel, Benigno Uria, Sriram Srinivasan, Adrià Puigdomènech Badia, Oriol Vinyals, Demis Hassabis, Daan Wierstra, Charles Blundell
Neural Episodic Control. CoRR (2017)
Meire Fortunato, Charles Blundell, Oriol Vinyals
Bayesian Recurrent Neural Networks. CoRR (2017)
Balaji Lakshminarayanan, Alexander Pritzel, Charles Blundell
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles. NIPS (2017)
Jane Wang, Zeb Kurth-Nelson, Hubert Soyer, Joel Z. Leibo, Dhruva Tirumala, Rémi Munos, Charles Blundell, Dharshan Kumaran, Matt M. Botvinick
Learning to reinforcement learn. CogSci (2017)
Daniel Zoran, Balaji Lakshminarayanan, Charles Blundell
Learning Deep Nearest Neighbor Representations Using Differentiable Boundary Trees. CoRR (2017)
Meire Fortunato, Mohammad Gheshlaghi Azar, Bilal Piot, Jacob Menick, Ian Osband, Alex Graves, Vlad Mnih, Rémi Munos, Demis Hassabis, Olivier Pietquin, Charles Blundell, Shane Legg
Noisy Networks for Exploration. CoRR (2017)
Chrisantha Fernando, Dylan Banarse, Charles Blundell, Yori Zwols, David Ha, Andrei A. Rusu, Alexander Pritzel, Daan Wierstra
PathNet: Evolution Channels Gradient Descent in Super Neural Networks. CoRR (2017)
Alexander Pritzel, Benigno Uria, Sriram Srinivasan, Adrià Puigdomènech Badia, Oriol Vinyals, Demis Hassabis, Daan Wierstra, Charles Blundell
Neural Episodic Control. ICML (2017)
Irina Higgins, Arka Pal, Andrei A. Rusu, Loïc Matthey, Christopher Burgess, Alexander Pritzel, Matthew Botvinick, Charles Blundell, Alexander Lerchner
DARLA: Improving Zero-Shot Transfer in Reinforcement Learning. ICML (2017)
Oriol Vinyals, Charles Blundell, Timothy P. Lillicrap, Koray Kavukcuoglu, Daan Wierstra
Matching Networks for One Shot Learning. CoRR (2016)
Balaji Lakshminarayanan, Alexander Pritzel, Charles Blundell
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles. CoRR (2016)
Charles Blundell, Benigno Uria, Alexander Pritzel, Yazhe Li, Avraham Ruderman, Joel Z. Leibo, Jack W. Rae, Daan Wierstra, Demis Hassabis
Model-Free Episodic Control. CoRR (2016)
Oriol Vinyals, Charles Blundell, Tim Lillicrap, Koray Kavukcuoglu, Daan Wierstra
Matching Networks for One Shot Learning. NIPS (2016)
Jane X. Wang, Zeb Kurth-Nelson, Dhruva Tirumala, Hubert Soyer, Joel Z. Leibo, Rémi Munos, Charles Blundell, Dharshan Kumaran, Matthew Botvinick
Learning to reinforcement learn. CoRR (2016)
Irina Higgins, Loïc Matthey, Xavier Glorot, Arka Pal, Benigno Uria, Charles Blundell, Shakir Mohamed, Alexander Lerchner
Early Visual Concept Learning with Unsupervised Deep Learning. CoRR (2016)
Ian Osband, Charles Blundell, Alexander Pritzel, Benjamin Van Roy
Deep Exploration via Bootstrapped DQN. NIPS (2016)
Ian Osband, Charles Blundell, Alexander Pritzel, Benjamin Van Roy
Deep Exploration via Bootstrapped DQN. CoRR (2016)
Charles Blundell, Julien Cornebise, Koray Kavukcuoglu, Daan Wierstra
Weight Uncertainty in Neural Network. ICML (2015)
Yee Whye Teh, Leonard Hasenclever, Thibaut Lienart, Sebastian J. Vollmer, Stefan Webb, Balaji Lakshminarayanan, Charles Blundell
Distributed Bayesian Learning with Stochastic Natural-gradient Expectation Propagation and the Posterior Server. CoRR (2015)
Charles Blundell, Julien Cornebise, Koray Kavukcuoglu, Daan Wierstra
Weight Uncertainty in Neural Networks. CoRR (2015)
Fangjian Guo, Charles Blundell, Hanna M. Wallach, Katherine A. Heller
The Bayesian Echo Chamber: Modeling Social Influence via Linguistic Accommodation. AISTATS (2015)
Karol Gregor, Ivo Danihelka, Andriy Mnih, Charles Blundell, Daan Wierstra
Deep AutoRegressive Networks. ICML (2014)
Fangjian Guo, Charles Blundell, Hanna M. Wallach, Katherine A. Heller
The Bayesian Echo Chamber: Modeling Influence in Conversations. CoRR (2014)
Charles Blundell, Yee Whye Teh
Bayesian Hierarchical Community Discovery. NIPS (2013)
Charles Blundell, Adam Sanborn, Thomas L. Griffiths
Look-Ahead Monte Carlo with People. CogSci (2012)
Charles Blundell, Katherine A. Heller, Jeffrey M. Beck
Modelling Reciprocating Relationships with Hawkes Processes. NIPS (2012)
Charles Blundell, Yee Whye Teh, Katherine A. Heller
Bayesian Rose Trees CoRR (2012)
Ricardo Bezerra de Andrade e Silva, Charles Blundell, Yee Whye Teh
Mixed Cumulative Distribution Networks. AISTATS (2011)
Yee Whye Teh, Charles Blundell, Lloyd T. Elliott
Modelling Genetic Variations using Fragmentation-Coagulation Processes. NIPS (2011)
Ricardo Bezerra de Andrade e Silva, Charles Blundell, Yee Whye Teh
Mixed Cumulative Distribution Networks CoRR (2010)
Charles Blundell, Yee Whye Teh, Katherine A. Heller
Bayesian Rose Trees. UAI (2010)