| 2025 | COLING | LLM-Personalize: Aligning LLM Planners with Human Preferences via Reinforced Self-Training for Housekeeping Robots. | Dongge Han, Trevor McInroe, Adam Jelley, Stefano V. Albrecht, Peter Bell, Amos J. Storkey |
| 2024 | AISTATS | Approximate Bayesian Class-Conditional Models under Continuous Representation Shift. | Thomas L. Lee, Amos J. Storkey |
| 2024 | ICLR | DAM: Towards a Foundation Model for Forecasting. | Luke Nicholas Darlow, Qiwen Deng, Ahmed Hassan, Martin Asenov, Rajkarn Singh, Artjom Joosen, Adam Barker, Amos J. Storkey |
| 2024 | MICCAI | Pre-processing and Quality Control of Large Clinical CT Head Datasets for Intracranial Arterial Calcification Segmentation. | Benjamin Jin, Maria del C. Valds Hernndez, Alessandro Fontanella, Wenwen Li, Eleanor Platt, Paul A. Armitage, Amos J. Storkey, Joanna M. Wardlaw, Grant Mair |
| 2023 | ICLR | Contrastive Meta-Learning for Partially Observable Few-Shot Learning. | Adam Jelley, Amos J. Storkey, Antreas Antoniou, Sam Devlin |
| 2023 | ICML | ACAT: Adversarial Counterfactual Attention for Classification and Detection in Medical Imaging. | Alessandro Fontanella, Antreas Antoniou, Wenwen Li, Joanna M. Wardlaw, Grant Mair, Emanuele Trucco, Amos J. Storkey |
| 2023 | MICCAI | QuickQual: Lightweight, Convenient Retinal Image Quality Scoring with Off-the-Shelf Pretrained Models. | Justin Engelmann, Amos J. Storkey, Miguel O. Bernabeu |
| 2022 | MICCAI | Robust and Efficient Computation of Retinal Fractal Dimension Through Deep Approximation. | Justin Engelmann, Ana Villaplana-Velasco, Amos J. Storkey, Miguel O. Bernabeu |
| 2021 | ICML | Better Training using Weight-Constrained Stochastic Dynamics. | Benedict J. Leimkuhler, Tiffany J. Vlaar, Timothe Pouchon, Amos J. Storkey |
| 2019 | ICLR | How to train your MAML. | Antreas Antoniou, Harrison Edwards, Amos J. Storkey |
| 2019 | ICLR | Large-Scale Study of Curiosity-Driven Learning. | Yuri Burda, Harri Edwards, Deepak Pathak, Amos J. Storkey, Trevor Darrell, Alexei A. Efros |
| 2019 | ICLR | Exploration by random network distillation. | Yuri Burda, Harrison Edwards, Amos J. Storkey, Oleg Klimov |
| 2019 | ICLR | On the Relation Between the Sharpest Directions of DNN Loss and the SGD Step Length. | Stanislaw Jastrzebski, Zachary Kenton, Nicolas Ballas, Asja Fischer, Yoshua Bengio, Amos J. Storkey |
| 2018 | ICANN | Augmenting Image Classifiers Using Data Augmentation Generative Adversarial Networks. | Antreas Antoniou, Amos J. Storkey, Harrison Edwards |
| 2018 | ICANN | Width of Minima Reached by Stochastic Gradient Descent is Influenced by Learning Rate to Batch Size Ratio. | Stanislaw Jastrzebski, Zachary Kenton, Devansh Arpit, Nicolas Ballas, Asja Fischer, Yoshua Bengio, Amos J. Storkey |
| 2018 | ICLR | Finding Flatter Minima with SGD. | Stanislaw Jastrzebski, Zachary Kenton, Devansh Arpit, Nicolas Ballas, Asja Fischer, Yoshua Bengio, Amos J. Storkey |
| 2017 | AISTATS | Asymptotically exact inference in differentiable generative models. | Matthew M. Graham, Amos J. Storkey |
| 2017 | ICLR | Towards a Neural Statistician. | Harrison Edwards, Amos J. Storkey |
| 2017 | UAI | Continuously Tempered Hamiltonian Monte Carlo. | Matthew M. Graham, Amos J. Storkey |
| 2016 | AAAI | Stochastic Parallel Block Coordinate Descent for Large-Scale Saddle Point Problems. | Zhanxing Zhu, Amos J. Storkey |
| 2015 | ICML | Training Deep Convolutional Neural Networks to Play Go. | Christopher Clark, Amos J. Storkey |
| 2014 | ICML | Multi-period Trading Prediction Markets with Connections to Machine Learning. | Jinli Hu, Amos J. Storkey |
| 2012 | ICML | A Topic Model for Melodic Sequences. | Athina Spiliopoulou, Amos J. Storkey |
| 2012 | ICML | Isoelastic Agents and Wealth Updates in Machine Learning Markets. | Amos J. Storkey, Jono Millin, Krzysztof J. Geras |
| 2011 | ICANN | The Grouped Author-Topic Model for Unsupervised Entity Resolution. | Andrew M. Dai, Amos J. Storkey |
| 2011 | ICANN | A Hierarchical Generative Model of Recurrent Object-Based Attention in the Visual Cortex. | David P. Reichert, Peggy Seris, Amos J. Storkey |
| 2007 | IJCAI | A Primitive Based Generative Model to Infer Timing Information in Unpartitioned Handwriting Data. | Ben H. Williams, Marc Toussaint, Amos J. Storkey |
| 2006 | ICANN | Extracting Motion Primitives from Natural Handwriting Data. | Ben H. Williams, Marc Toussaint, Amos J. Storkey |
| 2006 | ICML | Probabilistic inference for solving discrete and continuous state Markov Decision Processes. | Marc Toussaint, Amos J. Storkey |
| 2004 | IDEAL | Cosine Transform Priors for Enhanced Decoding of Compressed Images. | Amos J. Storkey, Michael Allan |
| 2003 | UAI | Renewal Strings for Cleaning Astronomical Databases. | Amos J. Storkey, Nigel C. Hambly, Christopher K. I. Williams, Robert G. Mann |
| 2001 | AISTATS | Dynamic Positional Trees for Structural Image Analysis. | Amos J. Storkey, Christopher K. I. Williams |
| 2000 | ICPR | MFDTs: Mean Field Dynamic Trees. | Nicholas J. Adams, Amos J. Storkey, Christopher K. I. Williams, Zoubin Ghahramani |
| 2000 | UAI | Dynamic Trees: A Structured Variational Method Giving Efficient Propagation Rules. | Amos J. Storkey |
| 1997 | ICANN | Increasing the Capacity of a Hopfield Network without Sacrificing Functionality. | Amos J. Storkey |
| 1996 | ICANN | A Modified Spreading Algorithm for Autoassociation in Weightless Neural Networks. | Christopher John Browne, Joel de L. Pereira Castro Jr., Amos J. Storkey |