Charles Blundell

According to our database, Charles Blundell authored at least 63 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Synth²: Boosting Visual-Language Models with Synthetic Captions and Image Embeddings.

Sahand Sharifzadeh, Christos Kaplanis, Shreya Pathak, Dharshan Kumaran, Anastasija Ilic, Jovana Mitrovic, Charles Blundell, Andrea Banino

CoRR, 2024

Improving fine-grained understanding in image-text pre-training.

Ioana Bica, Anastasija Ilic, Matthias Bauer, Goker Erdogan, Matko Bosnjak, Christos Kaplanis, Alexey A. Gritsenko, Matthias Minderer, Charles Blundell, Razvan Pascanu, Jovana Mitrovic

CoRR, 2024

2023

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

CoRR, 2023

Neural Algorithmic Reasoning with Causal Regularisation.

Beatrice Bevilacqua, Kyriacos Nikiforou, Borja Ibarz, Ioana Bica, Michela Paganini, Charles Blundell, Jovana Mitrovic, Petar Velickovic

Proceedings of the International Conference on Machine Learning, 2023

Human-level Atari 200x faster.

Steven Kapturowski, Victor Campos, Ray Jiang, Nemanja Rakicevic, Hado van Hasselt, Charles Blundell, Adrià Puigdomènech Badia

Proceedings of the Eleventh International Conference on Learning Representations, 2023

SemPPL: Predicting Pseudo-Labels for Better Contrastive Representations.

Matko Bosnjak, Pierre Harvey Richemond, Nenad Tomasev, Florian Strub, Jacob C. Walker, Felix Hill, Lars Holger Buesing, Razvan Pascanu, Charles Blundell, Jovana Mitrovic

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Normalizing flows for atomic solids.

Peter Wirnsberger, George Papamakarios, Borja Ibarz, Sébastien Racanière, Andrew J. Ballard, Alexander Pritzel, Charles Blundell

Mach. Learn. Sci. Technol., 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, Nicolas Heess, Charles Blundell

CoRR, 2022

Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet?

Nenad Tomasev, Ioana Bica, Brian McWilliams, Lars Buesing, Razvan Pascanu, Charles Blundell, Jovana Mitrovic

CoRR, 2022

Reasoning-Modulated Representations.

Petar Velickovic, Matko Bosnjak, Thomas Kipf, Alexander Lerchner, Raia Hadsell, Razvan Pascanu, Charles Blundell

Proceedings of the Learning on Graphs Conference, 2022

A Generalist Neural Algorithmic Learner.

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

Proceedings of the Learning on Graphs Conference, 2022

The CLRS Algorithmic Reasoning Benchmark.

Petar Velickovic, Adrià Puigdomènech Badia, David Budden, Razvan Pascanu, Andrea Banino, Misha Dashevskiy, Raia Hadsell, Charles Blundell

Proceedings of the International Conference on Machine Learning, 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 C. Humphreys, Ksenia Konyushkova, Michal Valko, Simon Osindero, Timothy P. Lillicrap, Nicolas Heess, Charles Blundell

Proceedings of the International Conference on Machine Learning, 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

Proceedings of the Tenth International Conference on Learning Representations, 2022

CoBERL: Contrastive BERT for Reinforcement Learning.

Andrea Banino, Adrià Puigdomènech Badia, Jacob C. Walker, Tim Scholtes, Jovana Mitrovic, Charles Blundell

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Neural algorithmic reasoning.

Petar Velickovic, Charles Blundell

Patterns, 2021

Advancing mathematics by guiding human intuition with AI.

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

Nat., 2021

PonderNet: Learning to Ponder.

Andrea Banino, Jan Balaguer, Charles Blundell

CoRR, 2021

Persistent Message Passing.

Heiko Strathmann, Mohammadamin Barekatain, Charles Blundell, Petar Velickovic

CoRR, 2021

Coverage as a Principle for Discovering Transferable Behavior in Reinforcement Learning.

Víctor Campos, Pablo Sprechmann, Steven Hansen, André Barreto, Steven Kapturowski, Alex Vitvitskyi, Adrià Puigdomènech Badia, Charles Blundell

CoRR, 2021

Neural Production Systems.

Aniket Didolkar, Anirudh Goyal, Nan Rosemary Ke, Charles Blundell, Philippe Beaudoin, Nicolas Heess, Michael Mozer, Yoshua Bengio

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Emphatic Algorithms for Deep Reinforcement Learning.

Ray Jiang, Tom Zahavy, Zhongwen Xu, Adam White, Matteo Hessel, Charles Blundell, Hado van Hasselt

Proceedings of the 38th International Conference on Machine Learning, 2021

Representation Learning via Invariant Causal Mechanisms.

Jovana Mitrovic, Brian McWilliams, Jacob C. Walker, Lars Holger Buesing, Charles Blundell

Proceedings of the 9th International Conference on Learning Representations, 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

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Object Files and Schemata: Factorizing Declarative and Procedural Knowledge in Dynamical Systems.

Anirudh Goyal, Alex Lamb, Phanideep Gampa, Philippe Beaudoin, Sergey Levine, Charles Blundell, Yoshua Bengio, Michael Mozer

CoRR, 2020

Pointer Graph Networks.

Petar Velickovic, Lars Buesing, Matthew C. Overlan, Razvan Pascanu, Oriol Vinyals, Charles Blundell

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Agent57: Outperforming the Atari Human Benchmark.

Adrià Puigdomènech Badia, Bilal Piot, Steven Kapturowski, Pablo Sprechmann, Alex Vitvitskyi, Zhaohan Daniel Guo, Charles Blundell

Proceedings of the 37th International Conference on Machine Learning, 2020

Neural Execution of Graph Algorithms.

Petar Velickovic, Rex Ying, Matilde Padovano, Raia Hadsell, Charles Blundell

Proceedings of the 8th International Conference on Learning Representations, 2020

MEMO: A Deep Network for Flexible Combination of Episodic Memories.

Andrea Banino, Adrià Puigdomènech Badia, Raphael Köster, Martin J. Chadwick, Vinícius Flores Zambaldi, Demis Hassabis, Caswell Barry, Matthew M. Botvinick, Dharshan Kumaran, Charles Blundell

Proceedings of the 8th International Conference on Learning Representations, 2020

Never Give Up: Learning Directed Exploration Strategies.

Adrià Puigdomènech Badia, Pablo Sprechmann, Alex Vitvitskyi, Zhaohan Daniel Guo, Bilal Piot, Steven Kapturowski, Olivier Tieleman, Martín Arjovsky, Alexander Pritzel, Andrew Bolt, Charles Blundell

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Shaping representations through communication: community size effect in artificial learning systems.

Olivier Tieleman, Angeliki Lazaridou, Shibl Mourad, Charles Blundell, Doina Precup

CoRR, 2019

Community size effect in artificial learning systems.

Olivier Tieleman, Angeliki Lazaridou, Shibl Mourad, Charles Blundell, Doina Precup

Proceedings of the Visually Grounded Interaction and Language (ViGIL), 2019

Generalization of Reinforcement Learners with Working and Episodic Memory.

Meire Fortunato, Melissa Tan, Ryan Faulkner, Steven Hansen, Adrià Puigdomènech Badia, Gavin Buttimore, Charlie Deck, Joel Z. Leibo, Charles Blundell

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Vector-based navigation using grid-like representations in artificial agents.

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

Nat., 2018

Pushing the bounds of dropout.

Gábor Melis, Charles Blundell, Tomás Kociský, Karl Moritz Hermann, Chris Dyer, Phil Blunsom

CoRR, 2018

Fast deep reinforcement learning using online adjustments from the past.

Steven Hansen, Alexander Pritzel, Pablo Sprechmann, André Barreto, Charles Blundell

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Been There, Done That: Meta-Learning with Episodic Recall.

Samuel Ritter, Jane X. Wang, Zeb Kurth-Nelson, Siddhant M. Jayakumar, Charles Blundell, Razvan Pascanu, Matthew M. Botvinick

Proceedings of the 35th International Conference on Machine Learning, 2018

Memory-based Parameter Adaptation.

Pablo Sprechmann, Siddhant M. Jayakumar, Jack W. Rae, Alexander Pritzel, Adrià Puigdomènech Badia, Benigno Uria, Oriol Vinyals, Demis Hassabis, Razvan Pascanu, Charles Blundell

Proceedings of the 6th International Conference on Learning Representations, 2018

Noisy Networks For Exploration.

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

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Distributed Bayesian Learning with Stochastic Natural Gradient Expectation Propagation and the Posterior Server.

Leonard Hasenclever, Stefan Webb, Thibaut Liénart, Sebastian J. Vollmer, Balaji Lakshminarayanan, Charles Blundell, Yee Whye Teh

J. Mach. Learn. Res., 2017

Learning Deep Nearest Neighbor Representations Using Differentiable Boundary Trees.

Daniel Zoran, Balaji Lakshminarayanan, Charles Blundell

CoRR, 2017

Bayesian Recurrent Neural Networks.

Meire Fortunato, Charles Blundell, Oriol Vinyals

CoRR, 2017

Noisy Networks for Exploration.

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

CoRR, 2017

PathNet: Evolution Channels Gradient Descent in Super Neural Networks.

Chrisantha Fernando, Dylan Banarse, Charles Blundell, Yori Zwols, David Ha, Andrei A. Rusu, Alexander Pritzel, Daan Wierstra

CoRR, 2017

Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles.

Balaji Lakshminarayanan, Alexander Pritzel, Charles Blundell

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Neural Episodic Control.

Alexander Pritzel, Benigno Uria, Sriram Srinivasan, Adrià Puigdomènech Badia, Oriol Vinyals, Demis Hassabis, Daan Wierstra, Charles Blundell

Proceedings of the 34th International Conference on Machine Learning, 2017

DARLA: Improving Zero-Shot Transfer in Reinforcement Learning.

Irina Higgins, Arka Pal, Andrei A. Rusu, Loïc Matthey, Christopher P. Burgess, Alexander Pritzel, Matthew M. Botvinick, Charles Blundell, Alexander Lerchner

Proceedings of the 34th International Conference on Machine Learning, 2017

Learning to reinforcement learn.

Jane Wang, Zeb Kurth-Nelson, Hubert Soyer, Joel Z. Leibo, Dhruva Tirumala, Rémi Munos, Charles Blundell, Dharshan Kumaran, Matt M. Botvinick

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

2016

Early Visual Concept Learning with Unsupervised Deep Learning.

Irina Higgins, Loïc Matthey, Xavier Glorot, Arka Pal, Benigno Uria, Charles Blundell, Shakir Mohamed, Alexander Lerchner

CoRR, 2016

Model-Free Episodic Control.

Charles Blundell, Benigno Uria, Alexander Pritzel, Yazhe Li, Avraham Ruderman, Joel Z. Leibo, Jack W. Rae, Daan Wierstra, Demis Hassabis

CoRR, 2016

Matching Networks for One Shot Learning.

Oriol Vinyals, Charles Blundell, Tim Lillicrap, Koray Kavukcuoglu, Daan Wierstra

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Deep Exploration via Bootstrapped DQN.

Ian Osband, Charles Blundell, Alexander Pritzel, Benjamin Van Roy

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

Weight Uncertainty in Neural Networks.

Charles Blundell, Julien Cornebise, Koray Kavukcuoglu, Daan Wierstra

CoRR, 2015

Weight Uncertainty in Neural Network.

Charles Blundell, Julien Cornebise, Koray Kavukcuoglu, Daan Wierstra

Proceedings of the 32nd International Conference on Machine Learning, 2015

The Bayesian Echo Chamber: Modeling Social Influence via Linguistic Accommodation.

Fangjian Guo, Charles Blundell, Hanna M. Wallach, Katherine A. Heller

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014

The Bayesian Echo Chamber: Modeling Influence in Conversations.

Fangjian Guo, Charles Blundell, Hanna M. Wallach, Katherine A. Heller

CoRR, 2014

Deep AutoRegressive Networks.

Karol Gregor, Ivo Danihelka, Andriy Mnih, Charles Blundell, Daan Wierstra

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

Bayesian Hierarchical Community Discovery.

Charles Blundell, Yee Whye Teh

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

2012

Modelling Reciprocating Relationships with Hawkes Processes.

Charles Blundell, Katherine A. Heller, Jeffrey M. Beck

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Look-Ahead Monte Carlo with People.

Charles Blundell, Adam Sanborn, Thomas L. Griffiths

Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

2011

Mixed Cumulative Distribution Networks.

Ricardo Bezerra de Andrade e Silva, Charles Blundell, Yee Whye Teh

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Modelling Genetic Variations using Fragmentation-Coagulation Processes.

Yee Whye Teh, Charles Blundell, Lloyd T. Elliott

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2010

Bayesian Rose Trees.

Charles Blundell, Yee Whye Teh, Katherine A. Heller

Proceedings of the UAI 2010, 2010