Charles Blundell
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
27
Venues
5
Active years
2010–2024
Best venue rank
A*
Where they publish
Papers
27 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ICLR | 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 |
| 2024 | ICML | 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 |
| 2023 | ICLR | 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 |
| 2023 | ICLR | Human-level Atari 200x faster. | Steven Kapturowski, Victor Campos, Ray Jiang, Nemanja Rakicevic, Hado van Hasselt, Charles Blundell, Adri Puigdomnech Badia |
| 2023 | ICML | Neural Algorithmic Reasoning with Causal Regularisation. | Beatrice Bevilacqua, Kyriacos Nikiforou, Borja Ibarz, Ioana Bica, Michela Paganini, Charles Blundell, Jovana Mitrovic, Petar Velickovic |
| 2022 | ICLR | CoBERL: Contrastive BERT for Reinforcement Learning. | Andrea Banino, Adri Puigdomnech Badia, Jacob C. Walker, Tim Scholtes, Jovana Mitrovic, Charles Blundell |
| 2022 | ICLR | 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 |
| 2022 | ICML | Retrieval-Augmented Reinforcement Learning. | Anirudh Goyal, Abram L. Friesen, Andrea Banino, Theophane Weber, Nan Rosemary Ke, Adri Puigdomnech Badia, Arthur Guez, Mehdi Mirza, Peter Conway Humphreys, Ksenia Konyushkova, Michal Valko, Simon Osindero, Timothy P. Lillicrap, Nicolas Heess, Charles Blundell |
| 2022 | ICML | The CLRS Algorithmic Reasoning Benchmark. | Petar Velickovic, Adri Puigdomnech Badia, David Budden, Razvan Pascanu, Andrea Banino, Misha Dashevskiy, Raia Hadsell, Charles Blundell |
| 2021 | ICLR | 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 |
| 2021 | ICLR | Representation Learning via Invariant Causal Mechanisms. | Jovana Mitrovic, Brian McWilliams, Jacob C. Walker, Lars Holger Buesing, Charles Blundell |
| 2021 | ICML | Emphatic Algorithms for Deep Reinforcement Learning. | Ray Jiang, Tom Zahavy, Zhongwen Xu, Adam White, Matteo Hessel, Charles Blundell, Hado van Hasselt |
| 2020 | ICLR | Never Give Up: Learning Directed Exploration Strategies. | Adri Puigdomnech Badia, Pablo Sprechmann, Alex Vitvitskyi, Zhaohan Daniel Guo, Bilal Piot, Steven Kapturowski, Olivier Tieleman, Martn Arjovsky, Alexander Pritzel, Andrew Bolt, Charles Blundell |
| 2020 | ICLR | MEMO: A Deep Network for Flexible Combination of Episodic Memories. | Andrea Banino, Adri Puigdomnech Badia, Raphael Kster, Martin J. Chadwick, Vincius Flores Zambaldi, Demis Hassabis, Caswell Barry, Matthew M. Botvinick, Dharshan Kumaran, Charles Blundell |
| 2020 | ICLR | Neural Execution of Graph Algorithms. | Petar Velickovic, Rex Ying, Matilde Padovano, Raia Hadsell, Charles Blundell |
| 2020 | ICML | Agent57: Outperforming the Atari Human Benchmark. | Adri Puigdomnech Badia, Bilal Piot, Steven Kapturowski, Pablo Sprechmann, Alex Vitvitskyi, Zhaohan Daniel Guo, Charles Blundell |
| 2018 | ICLR | Noisy Networks For Exploration. | Meire Fortunato, Mohammad Gheshlaghi Azar, Bilal Piot, Jacob Menick, Matteo Hessel, Ian Osband, Alex Graves, Volodymyr Mnih, Rmi Munos, Demis Hassabis, Olivier Pietquin, Charles Blundell, Shane Legg |
| 2018 | ICLR | Memory-based Parameter Adaptation. | Pablo Sprechmann, Siddhant M. Jayakumar, Jack W. Rae, Alexander Pritzel, Adri Puigdomnech Badia, Benigno Uria, Oriol Vinyals, Demis Hassabis, Razvan Pascanu, Charles Blundell |
| 2018 | ICML | 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 |
| 2017 | CogSci | Learning to reinforcement learn. | Jane Wang, Zeb Kurth-Nelson, Hubert Soyer, Joel Z. Leibo, Dhruva Tirumala, Rmi Munos, Charles Blundell, Dharshan Kumaran, Matt M. Botvinick |
| 2017 | ICML | DARLA: Improving Zero-Shot Transfer in Reinforcement Learning. | Irina Higgins, Arka Pal, Andrei A. Rusu, Loc Matthey, Christopher P. Burgess, Alexander Pritzel, Matthew M. Botvinick, Charles Blundell, Alexander Lerchner |
| 2017 | ICML | Neural Episodic Control. | Alexander Pritzel, Benigno Uria, Sriram Srinivasan, Adri Puigdomnech Badia, Oriol Vinyals, Demis Hassabis, Daan Wierstra, Charles Blundell |
| 2015 | AISTATS | The Bayesian Echo Chamber: Modeling Social Influence via Linguistic Accommodation. | Fangjian Guo, Charles Blundell, Hanna M. Wallach, Katherine A. Heller |
| 2015 | ICML | Weight Uncertainty in Neural Network. | Charles Blundell, Julien Cornebise, Koray Kavukcuoglu, Daan Wierstra |
| 2014 | ICML | Deep AutoRegressive Networks. | Karol Gregor, Ivo Danihelka, Andriy Mnih, Charles Blundell, Daan Wierstra |
| 2012 | CogSci | Look-Ahead Monte Carlo with People. | Charles Blundell, Adam Sanborn, Thomas L. Griffiths |
| 2010 | UAI | Bayesian Rose Trees. | Charles Blundell, Yee Whye Teh, Katherine A. Heller |