Charles Blundell

Computer Science · Physical Sciences

28h-index12.8kcitations77works1.32yr avg
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Research Topics

Reinforcement Learning in Robotics(21), Domain Adaptation and Few-Shot Learning(15), Topic Modeling(9), Neural dynamics and brain function(8), Adversarial Robustness in Machine Learning(8)

Publications77 total

The CLRS-Text Algorithmic Reasoning Language Benchmark
arXiv (Cornell University)·2024Open Access
Synth$^2$: Boosting Visual-Language Models with Synthetic Captions and Image Embeddings
arXiv (Cornell University)·2024· 3 citedOpen Access
Improving fine-grained understanding in image-text pre-training
arXiv (Cornell University)·2024· 1 citedOpen Access
Unlocking the Power of Representations in Long-term Novelty-based Exploration
arXiv (Cornell University)·2023Open Access
Neural Algorithmic Reasoning with Causal Regularisation
arXiv (Cornell University)·2023· 2 citedOpen Access
SemPPL: Predicting pseudo-labels for better contrastive representations
arXiv (Cornell University)·2023· 4 citedOpen Access
Towards combinatorial invariance for Kazhdan-Lusztig polynomials
Representation Theory of the American Mathematical Society·2022· 14 citedOpen Access
Untitled
Representation Theory of the American Mathematical Society·2022Open Access
A Generalist Neural Algorithmic Learner
arXiv (Cornell University)·2022· 7 citedOpen Access
The CLRS Algorithmic Reasoning Benchmark
arXiv (Cornell University)·2022· 5 citedOpen Access
The CLRS Algorithmic Reasoning Benchmark
ArXiv.org·2022· 7 citedOpen Access
Normalizing flows for atomic solids
Machine Learning Science and Technology·2022Open Access
Retrieval-Augmented Reinforcement Learning
arXiv (Cornell University)·2022· 6 citedOpen Access
Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet?
arXiv (Cornell University)·2022· 16 citedOpen Access
Advancing mathematics by guiding human intuition with AI
Nature·2021· 407 citedOpen Access
Towards combinatorial invariance for Kazhdan-Lusztig polynomials
arXiv (Cornell University)·2021· 3 citedOpen Access
Reasoning-Modulated Representations
arXiv (Cornell University)·2021· 1 citedOpen Access
PonderNet: Learning to Ponder
arXiv (Cornell University)·2021· 3 citedOpen Access
CoBERL: Contrastive BERT for Reinforcement Learning
arXiv (Cornell University)·2021· 8 citedOpen Access
PonderNet: Learning to Ponder
arXiv (Cornell University)·2021· 21 citedOpen Access
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Frequent Co-authors

Alexander Pritzel(11), Demis Hassabis(11), Adrià Puigdomènech Badia(11), Andrea Banino(9), Daan Wierstra(7), Benigno Uría(6), Pablo Sprechmann(6), Oriol Vinyals(5), Razvan Pascanu(5), Dharshan Kumaran(5), Petar Veličković(5), Meire Fortunato(5), Balaji Lakshminarayanan(4), Koray Kavukcuoglu(4), Timothy Lillicrap(4), Lars Buesing(4), Bilal Piot(4), Joel Z. Leibo(4), Steven Kapturowski(4), Alex Vitvitskyi(4)