| 2025 | ICML | Learning dynamics in linear recurrent neural networks. | Alexandra Maria Proca, Clmentine Carla Juliette Domin, Murray Shanahan, Pedro A. M. Mediano |
| 2024 | ECAI | The Propensity for Density in Feed-Forward Models. | Nandi Schoots, Alex Jackson, Ali Kholmovia, Peter McBurney, Murray Shanahan |
| 2023 | ICLR | Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning. | Antonia Creswell, Murray Shanahan, Irina Higgins |
| 2022 | ICLR | In a Nutshell, the Human Asked for This: Latent Goals for Following Temporal Specifications. | Borja G. Len, Murray Shanahan, Francesco Belardinelli |
| 2022 | IJCAI | Abstraction for Deep Reinforcement Learning. | Murray Shanahan, Melanie Mitchell |
| 2020 | ICML | 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 |
| 2020 | ICML | An Explicitly Relational Neural Network Architecture. | Murray Shanahan, Kyriacos Nikiforou, Antonia Creswell, Christos Kaplanis, David G. T. Barrett, Marta Garnelo |
| 2019 | ICLR | Deep reinforcement learning with relational inductive biases. | Vincius Flores Zambaldi, David Raposo, Adam Santoro, Victor Bapst, Yujia Li, Igor Babuschkin, Karl Tuyls, David P. Reichert, Timothy P. Lillicrap, Edward Lockhart, Murray Shanahan, Victoria Langston, Razvan Pascanu, Matthew M. Botvinick, Oriol Vinyals, Peter W. Battaglia |
| 2019 | ICML | Policy Consolidation for Continual Reinforcement Learning. | Christos Kaplanis, Murray Shanahan, Claudia Clopath |
| 2018 | ICLR | SCAN: Learning Hierarchical Compositional Visual Concepts. | Irina Higgins, Nicolas Sonnerat, Loic Matthey, Arka Pal, Christopher P. Burgess, Matko Bosnjak, Murray Shanahan, Matthew M. Botvinick, Demis Hassabis, Alexander Lerchner |
| 2018 | ICML | Conditional Neural Processes. | Marta Garnelo, Dan Rosenbaum, Christopher Maddison, Tiago Ramalho, David Saxton, Murray Shanahan, Yee Whye Teh, Danilo Jimenez Rezende, S. M. Ali Eslami |
| 2018 | ICML | Continual Reinforcement Learning with Complex Synapses. | Christos Kaplanis, Murray Shanahan, Claudia Clopath |
| 2016 | IJCNN | A reservoir computing model of episodic memory. | David Bhowmik, Kyriacos Nikiforou, Murray Shanahan, Michail Maniadakis, Panos E. Trahanias |
| 2015 | IJCNN | GPU-based fast parameter optimization for phenomenological spiking neural models. | Zafeirios Fountas, Murray Shanahan |
| 2015 | IJCNN | Local and global criticality within oscillating networks of spiking neurons. | Filipe Peliz Pinto Teixeira, Murray Shanahan |
| 2014 | IJCNN | Phase offset between slow oscillatory cortical inputs influences competition in a model of the basal ganglia. | Zafeirios Fountas, Murray Shanahan |
| 2014 | IJCNN | Does plasticity promote criticality? | Filipe Peliz Pinto Teixeira, Murray Shanahan |
| 2013 | IJCNN | STDP produces robust oscillatory architectures that exhibit precise collective synchronization. | David Bhowmik, Murray Shanahan |
| 2012 | IJCNN | How well do oscillator models capture the behaviour of biological neurons? | David Bhowmik, Murray Shanahan |
| 2012 | IJCNN | Hierarchical clustering identifies hub nodes in a model of resting-state brain activity. | Mark Wildie, Murray Shanahan |
| 2010 | IJCNN | Training a spiking neural network to control a 4-DoF robotic arm based on Spike Timing-Dependent Plasticity. | Alexandros Bouganis, Murray Shanahan |
| 2010 | IJCNN | Accelerated simulation of spiking neural networks using GPUs. | Andreas Fidjeland, Murray Shanahan |
| 2008 | ALIFE | Modeling the Neural Basis of Cognitive Integration and Consciousness. | Murray Shanahan, Dustin Connor |
| 2008 | ICPR | Flexible object recognition in cluttered scenes using relative point distribution models. | Alexandros Bouganis, Murray Shanahan |
| 2006 | ECAI | On Packing 2D Irregular Shapes. | Alexandros Bouganis, Murray Shanahan |
| 2006 | ECAI | Leaf Classification Using Navigation-Based Skeletons. | Georgios Sakellariou, Murray Shanahan |
| 2004 | ECAI | Indirect and Conditional Sensing in the Event Calculus. | Jeremy Forth, Murray Shanahan |
| 2004 | KR | A Logic-Based Formulation of Active Visual Perception. | Murray Shanahan, David A. Randell |
| 2003 | IJCAI | A Logic-based Algorithm for Image Sequence Interpretation and Anchoring. | Paulo E. Santos, Murray Shanahan |
| 2002 | ECAI | Hypothesising Object Relations from Image Transitions. | Paulo E. Santos, Murray Shanahan |
| 2002 | KR | A Logical Account of Perception Incorporating Feedback and Expectation. | Murray Shanahan |
| 2001 | IJCAI | From Images to Bodies: Modelling and Exploiting Spatial Occlusion and Motion Parallax. | David A. Randell, Mark Witkowski, Murray Shanahan |
| 1999 | ECSQARU | Robot Navigation and Map Building with the Event Calculus (abstract). | Murray Shanahan, Mark Witkowski |
| 1999 | IJCAI | The Ramification Problem in the Event Calculus. | Murray Shanahan |
| 1997 | AAAI | Noise, Non-Determinism and Spatial Uncertainty. | Murray Shanahan |
| 1996 | AAAI | Noise and the Common Sense Informatic Situation for a Mobile Robot. | Murray Shanahan |
| 1996 | ECAI | Robotics and the Common Sense Informatic Situation. | Murray Shanahan |
| 1996 | KR | Reasoning about Discontinuities in the Event Calculus. | Rob Miller, Murray Shanahan |
| 1993 | IJCAI | Explanation in the Situation Calculus. | Murray Shanahan |
| 1990 | ECAI | Representing Continuous Change in the Event Calculus. | Murray Shanahan |
| 1989 | IJCAI | Prediction is Deduction but Explanation is Abduction. | Murray Shanahan |
| 1987 | IJCAI | An Incremental Theorem Prover. | Murray Shanahan |