Murray Shanahan
13 papers · 2018–2025 · 4 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (4) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (7)
🏃
Academic Marathon
(7)
🐝
Cross-Pollinator
(14)
🌈
Renaissance Researcher
(6)
🧬
Topic Evolution
💎
Century Club
(13)
🚀
Conference Pioneer
📈
Trend Setter
🔥
Unstoppable
(6)
Conferences
ICML (6)
ICLR (4)
NIPS (2)
IJCAI (1)
Top co-authors
Keywords
continual learning
(2)
deep reinforcement learning
(2)
reinforcement learning
(2)
catastrophic forgetting
(2)
multimodal learning
(1)
few-shot learning
(1)
representation learning
(1)
template learning
(1)
attention mechanism
(1)
in-context learning
(1)
sequence prediction
(1)
visual reasoning
(1)
relational reasoning
(1)
gaussian process
(1)
schema learning
(1)
continuous control
(1)
function approximation
(1)
associative memory
(1)
scene understanding
(1)
unsupervised learning
(1)
Papers
Learning dynamics in linear recurrent neural networks
ICML 2025
Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning
ICLR 2023
Schema-learning and rebinding as mechanisms of in-context learning and emergence
NIPS 2023
Abstraction for Deep Reinforcement Learning
IJCAI 2022
In a Nutshell, the Human Asked for This: Latent Goals for Following Temporal Specifications
ICLR 2022
Unsupervised Object-Based Transition Models For 3D Partially Observable Environments
NIPS 2021
Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules
ICML 2020
An Explicitly Relational Neural Network Architecture
ICML 2020
Policy Consolidation for Continual Reinforcement Learning
ICML 2019
Deep reinforcement learning with relational inductive biases
ICLR 2019
Conditional Neural Processes
ICML 2018
SCAN: Learning Hierarchical Compositional Visual Concepts
ICLR 2018
Continual Reinforcement Learning with Complex Synapses
ICML 2018