Charles Blundell

Improving fine-grained understanding in image-text pre-training ICML 2024 Unlocking the Power of Representations in Long-term Novelty-based Exploration ICLR 2024 Human-level Atari 200x faster ICLR 2023 Neural Algorithmic Reasoning with Causal Regularisation ICML 2023 SemPPL: Predicting Pseudo-Labels for Better Contrastive Representations ICLR 2023 CoBERL: Contrastive BERT for Reinforcement Learning ICLR 2022 Coordination Among Neural Modules Through a Shared Global Workspace ICLR 2022 Retrieval-Augmented Reinforcement Learning ICML 2022 The CLRS Algorithmic Reasoning Benchmark ICML 2022 Emphatic Algorithms for Deep Reinforcement Learning ICML 2021 Factorizing Declarative and Procedural Knowledge in Structured, Dynamical Environments ICLR 2021 Neural Production Systems NeurIPS 2021 Representation Learning via Invariant Causal Mechanisms ICLR 2021 Agent57: Outperforming the Atari Human Benchmark ICML 2020 MEMO: A Deep Network for Flexible Combination of Episodic Memories ICLR 2020 Neural Execution of Graph Algorithms ICLR 2020 Never Give Up: Learning Directed Exploration Strategies ICLR 2020 Pointer Graph Networks NeurIPS 2020 Generalization of Reinforcement Learners with Working and Episodic Memory NeurIPS 2019 Been There, Done That: Meta-Learning with Episodic Recall ICML 2018 Fast deep reinforcement learning using online adjustments from the past NeurIPS 2018 Memory-based Parameter Adaptation ICLR 2018 Noisy Networks For Exploration ICLR 2018 DARLA: Improving Zero-Shot Transfer in Reinforcement Learning ICML 2017 Distributed Bayesian Learning with Stochastic Natural Gradient Expectation Propagation and the Posterior Server JMLR 2017 Neural Episodic Control ICML 2017 Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles NeurIPS 2017 Deep Exploration via Bootstrapped DQN NeurIPS 2016 Matching Networks for One Shot Learning NeurIPS 2016 The Bayesian Echo Chamber: Modeling Social Influence via Linguistic Accommodation AISTATS 2015 Weight Uncertainty in Neural Network ICML 2015 Deep AutoRegressive Networks ICML 2014 Bayesian Hierarchical Community Discovery NeurIPS 2013 Modelling Reciprocating Relationships with Hawkes Processes NeurIPS 2012 Mixed Cumulative Distribution Networks AISTATS 2011 Modelling Genetic Variations using Fragmentation-Coagulation Processes NeurIPS 2011