Shanahan, Murray

26 publications

ICML 2025 Learning Dynamics in Linear Recurrent Neural Networks Alexandra Maria Proca, Clémentine Carla Juliette Dominé, Murray Shanahan, Pedro A. M. Mediano

ICLRW 2025 Transformers Use Causal World Models in Maze-Solving Tasks Alexander F Spies, William Edwards, Michael Ivanitskiy, Adrians Skapars, Tilman Räuker, Katsumi Inoue, Alessandra Russo, Murray Shanahan

TMLR 2023 Feature-Attending Recurrent Modules for Generalization in Reinforcement Learning Wilka Torrico Carvalho, Andrew Kyle Lampinen, Kyriacos Nikiforou, Felix Hill, Murray Shanahan

NeurIPS 2023 Schema-Learning and Rebinding as Mechanisms of In-Context Learning and Emergence Sivaramakrishnan Swaminathan, Antoine Dedieu, Rajkumar Vasudeva Raju, Murray Shanahan, Miguel Lazaro-Gredilla, Dileep George

ICLR 2023 Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning Antonia Creswell, Murray Shanahan, Irina Higgins

IJCAI 2022 Abstraction for Deep Reinforcement Learning Murray Shanahan, Melanie Mitchell

ICLRW 2022 Agent, Do You See It Now? Systematic Generalisation in Deep Reinforcement Learning Borja G. León, Murray Shanahan, Francesco Belardinelli

ICLR 2022 In a Nutshell, the Human Asked for This: Latent Goals for Following Temporal Specifications Borja G. León, Murray Shanahan, Francesco Belardinelli

ICMLW 2021 Learning to Represent State with Perceptual Schemata Wilka Torrico Carvalho, Murray Shanahan

NeurIPSW 2021 Task-Driven Discovery of Perceptual Schemas for Generalization in Reinforcement Learning Wilka Torrico Carvalho, Andrew Kyle Lampinen, Kyriacos Nikiforou, Felix Hill, Murray Shanahan

NeurIPS 2021 Unsupervised Object-Based Transition Models for 3D Partially Observable Environments Antonia Creswell, Rishabh Kabra, Chris Burgess, Murray Shanahan

ICML 2020 An Explicitly Relational Neural Network Architecture Murray Shanahan, Kyriacos Nikiforou, Antonia Creswell, Christos Kaplanis, David Barrett, Marta Garnelo

ICML 2020 Learning to Combine Top-Down and Bottom-up Signals in Recurrent Neural Networks with Attention over Modules Sarthak Mittal, Alex Lamb, Anirudh Goyal, Vikram Voleti, Murray Shanahan, Guillaume Lajoie, Michael Mozer, Yoshua Bengio

ICLR 2019 Deep Reinforcement Learning with Relational Inductive Biases Vinicius Zambaldi, David Raposo, Adam Santoro, Victor Bapst, Yujia Li, Igor Babuschkin, Karl Tuyls, David Reichert, Timothy Lillicrap, Edward Lockhart, Murray Shanahan, Victoria Langston, Razvan Pascanu, Matthew Botvinick, Oriol Vinyals, Peter Battaglia

ICML 2019 Policy Consolidation for Continual Reinforcement Learning Christos Kaplanis, Murray Shanahan, Claudia Clopath

ICML 2018 Conditional Neural Processes Marta Garnelo, Dan Rosenbaum, Christopher Maddison, Tiago Ramalho, David Saxton, Murray Shanahan, Yee Whye Teh, Danilo Rezende, S. M. Ali Eslami

ICML 2018 Continual Reinforcement Learning with Complex Synapses Christos Kaplanis, Murray Shanahan, Claudia Clopath

ICLR 2018 SCAN: Learning Hierarchical Compositional Visual Concepts Irina Higgins, Nicolas Sonnerat, Loic Matthey, Arka Pal, Christopher P Burgess, Matko Bošnjak, Murray Shanahan, Matthew Botvinick, Demis Hassabis, Alexander Lerchner

IJCAI 2003 A Logic-Based Algorithm for Image Sequence Interpretation and Anchoring Paulo E. Santos, Murray Shanahan

IJCAI 2001 From Images to Bodies: Modelling and Exploiting Spatial Occlusion and Motion Parallax David A. Randell, Mark Witkowski, Murray Shanahan

IJCAI 1999 The Ramification Problem in the Event Calculus Murray Shanahan

AAAI 1997 Noise, Non-Determinism and Spatial Uncertainty Murray Shanahan

AAAI 1996 Noise and the Common Sense Informatic Situation for a Mobile Robot Murray Shanahan

IJCAI 1993 Explanation in the Situation Calculus Murray Shanahan

IJCAI 1989 Prediction Is Deduction but Explanation Is Abduction Murray Shanahan

IJCAI 1987 An Incremental Theorem Prover Murray Shanahan