Charles Blundell

36 papers · 2011–2024 · 5 conferences · across top CS/AI conferences

Achievements

+15 more ↓

🗺️ Taxonomy Completionist (16) 🧭 Keyword Pioneer 🌈 Renaissance Researcher (6) 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird

🌈 Renaissance Researcher (6) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (6) 🧬 Topic Evolution 🌱 Topic Pioneer 👑 Triple Crown 🏆 Keyword Champion (4) 🤝 Dynamic Duo (10) 🚀 Conference Pioneer ⚡ Prolific Year (5) 📈 Trend Setter 🗃️ Keyword Collector (54) 🔥 Unstoppable (14) 💎 Century Club (36)

Conferences

ICLR (12) ICML (11) NIPS (10) AISTATS (2) JMLR (1)

Top co-authors

Adrià Puigdomènech Badia (10) Alexander Pritzel (7) Razvan Pascanu (6) Jovana Mitrovic (5) Pablo Sprechmann (5) Daan Wierstra (4) Demis Hassabis (4) Steven Kapturowski (4) Petar Veličković (4) Andrea Banino (4)

Keywords

deep reinforcement learning (7) reinforcement learning (5) neural network (5) episodic memory (4) value function (4) variational inference (3) bayesian nonparametrics (3) representation learning (3) atari game (2) graph neural network (2) algorithm execution (2) bayesian nonparametric model (2) bayesian neural network (2) hawkes process (2) bayesian learning (1) offline reinforcement learning (1) point processes (1) causal inference (1) few-shot learning (1) function approximation (1)

Papers

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