Amos J. Storkey

发表

Stochastic Parallel Block Coordinate Descent for Large-Scale Saddle Point Problems

Zhanxing Zhu, Amos J. Storkey, 2016, AAAI.

The Grouped Author-Topic Model for Unsupervised Entity Resolution

Andrew M. Dai, Amos J. Storkey, 2011, ICANN.

Data Augmentation Generative Adversarial Networks pdf

Amos J. Storkey, Antreas Antoniou, Harrison Edwards, 2017, ICLR 2018.

Increasing the Capacity of a Hopfield Network without Sacrificing Functionality

Amos J. Storkey, A. Storkey, 1997, ICANN.

Learning Structural Equation Models for fMRI

Enrico Simonotto, Stephen Lawrie, Amos J. Storkey, 2006, NIPS.

Pruning neural networks: is it time to nip it in the bud? pdf

Amos J. Storkey, Elliot Crowley, Jack Turner, 2018, ArXiv.

Neuronal Adaptation for Sampling-Based Probabilistic Inference in Perceptual Bistability

Peggy Seriès, Amos J. Storkey, David P. Reichert, 2011, NIPS.

Modelling motion primitives and their timing in biologically executed movements

Marc Toussaint, Amos J. Storkey, Ben H. Williams, 2007, NIPS.

A brief introduction to Weightless Neural Systems

Amos J. Storkey, Christopher John Browne, Joel de L. Pereira Castro, 2009, ESANN.

Mixture Regression for Covariate Shift

Masashi Sugiyama, Amos J. Storkey, A. Storkey, 2006, NIPS.

Evaluation of a pre-surgical functional MRI workflow: From data acquisition to reporting

Joanna M. Wardlaw, Krzysztof J. Gorgolewski, Dominic Job, 2016, Int. J. Medical Informatics.

Bayesian Inference in Sparse Gaussian Graphical Models pdf

Amos J. Storkey, Felix V. Agakov, Peter Orchard, 2013, ArXiv.

Dilated DenseNets for Relational Reasoning pdf

Amos J. Storkey, Antreas Antoniou, Elliot Crowley, 2018, ArXiv.

MFDTs: mean field dynamic trees

Zoubin Ghahramani, Christopher K. I. Williams, Amos J. Storkey, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks

Amos J. Storkey, Elliot Crowley, Michael O'Boyle, 2018, 2018 IEEE International Symposium on Workload Characterization (IISWC).

Tract shape modelling provides evidence of topological change in corpus callosum genu during normal ageing

Mark E. Bastin, Amos J. Storkey, Laura J. Brown, 2008, NeuroImage.

Renewal Strings for Cleaning Astronomical Databases

Christopher K. I. Williams, Amos J. Storkey, Nigel C. Hambly, 2002, UAI.

The Coloured Noise Expansion and Parameter Estimation of Diffusion Processes

Simo Särkkä, Amos J. Storkey, Simon M. J. Lyons, 2012, NIPS.

Continuous Relaxations for Discrete Hamiltonian Monte Carlo

Yichuan Zhang, Zoubin Ghahramani, Charles A. Sutton, 2012, NIPS.

Dynamic Trees: A Structured Variational Method Giving Efficient Propagation Rules pdf

Amos J. Storkey, 2000, UAI.

Moonshine: Distilling with Cheap Convolutions

Amos J. Storkey, Elliot Crowley, Gavin Gray, 2017, NeurIPS.

Three Factors Influencing Minima in SGD pdf

Yoshua Bengio, Amos J. Storkey, Stanislaw Jastrzebski, 2017, ArXiv.

Comparing Probabilistic Models for Melodic Sequences

Amos J. Storkey, Athina Spiliopoulou, A. Storkey, 2011, ECML/PKDD.

Dynamic Structure Super-Resolution

Amos J. Storkey, A. Storkey, 2002, NIPS.

Hallucinations in Charles Bonnet Syndrome Induced by Homeostasis: a Deep Boltzmann Machine Model

Peggy Seriès, Amos J. Storkey, David P. Reichert, 2010, NIPS.

The 2005 PASCAL Visual Object Classes Challenge

Cordelia Schmid, Jorma Laaksonen, Luc Van Gool, 2005, MLCW.

Discriminative Mixtures of Sparse Latent Fields for Risk Management

Amos J. Storkey, Felix V. Agakov, Peter Orchard, 2012, AISTATS.

A Primitive Based Generative Model to Infer Timing Information in Unpartitioned Handwriting Data

Marc Toussaint, Amos J. Storkey, Ben H. Williams, 2007, IJCAI.

Improved segmentation reproducibility in group tractography using a quantitative tract similarity measure

Mark E. Bastin, Amos J. Storkey, Jonathan D. Clayden, 2006, NeuroImage.

Latent Adversarial Debiasing: Mitigating Collider Bias in Deep Neural Networks pdf

Amos J. Storkey, Luke Nicholas Darlow, Stanislaw Jastrzebski, 2020, ArXiv.

Generalised Propagation for Fast Fourier Transforms with Partial or Missing Data

Amos J. Storkey, 2003, NIPS.

Width of Minima Reached by Stochastic Gradient Descent is Influenced by Learning Rate to Batch Size Ratio

Yoshua Bengio, Amos J. Storkey, Stanislaw Jastrzebski, 2018, ICANN.

The basins of attraction of a new Hopfield learning rule

Amos J. Storkey, Romain Valabrègue, 1999, Neural Networks.

Continuous Time Particle Filtering for fMRI

Amos J. Storkey, Lawrence Murray, 2007, NIPS.

School of Informatics, University of Edinburgh pdf

Amos J. Storkey, Luke Nicholas Darlow, Antreas Antoniou, 2022 .

Isoelastic Agents and Wealth Updates in Machine Learning Markets

Amos J. Storkey, Krzysztof J. Geras, Krzysztof Geras, 2012, ICML.

Augmenting Image Classifiers Using Data Augmentation Generative Adversarial Networks

Amos J. Storkey, Antreas Antoniou, Harrison Edwards, 2018, ICANN.

Sparse Instrumental Variables (SPIV) for Genome-Wide Studies

Amos J. Storkey, Felix V. Agakov, Paul McKeigue, 2010, NIPS.

Exploration by Random Network Distillation pdf

Amos J. Storkey, Harrison Edwards, Oleg Klimov, 2018, ICLR.

BONSEYES: Platform for Open Development of Systems of Artificial Intelligence: Invited paper

Lei Wang, Kurt Tutschku, Oscar Déniz-Suárez, 2017, Conf. Computing Frontiers.

Cosine Transform Priors for Enhanced Decoding of Compressed Images

Amos J. Storkey, Michael Allan, 2004, IDEAL.

Towards a Neural Statistician pdf

Amos J. Storkey, Harrison Edwards, A. Storkey, 2016, ICLR.

Extracting Motion Primitives from Natural Handwriting Data

Marc Toussaint, Amos J. Storkey, Ben H. Williams, 2006, ICANN.

Image Modeling with Position-Encoding Dynamic Trees

Christopher K. I. Williams, Amos J. Storkey, A. Storkey, 2003, IEEE Trans. Pattern Anal. Mach. Intell..

Censoring Representations with an Adversary pdf

Amos J. Storkey, Harrison Edwards, A. Storkey, 2015, ICLR.

Aggregation Under Bias: Rényi Divergence Aggregation and Its Implementation via Machine Learning Markets

Zhanxing Zhu, Amos J. Storkey, Jinli Hu, 2015, ECML/PKDD.

Adaptive Stochastic Primal-Dual Coordinate Descent for Separable Saddle Point Problems

Zhanxing Zhu, Amos J. Storkey, 2015, ECML/PKDD.

Assume, Augment and Learn: Unsupervised Few-Shot Meta-Learning via Random Labels and Data Augmentation pdf

Amos J. Storkey, Antreas Antoniou, A. Storkey, 2019, ArXiv.

Charles Bonnet Syndrome: Evidence for a Generative Model in the Cortex?

Peggy Seriès, Amos J. Storkey, David P. Reichert, 2013, PLoS Comput. Biol..

GINN: Geometric Illustration of Neural Networks pdf

Amos J. Storkey, Luke Nicholas Darlow, A. Storkey, 2018, ArXiv.

Dynamic Positional Trees for Structural Image Analysis

Christopher K. I. Williams, Amos J. Storkey, A. Storkey, 2001, AISTATS.

How to train your MAML pdf

Amos J. Storkey, Antreas Antoniou, Harrison Edwards, 2018, ICLR.

Machine Learning Markets pdf

Amos J. Storkey, A. Storkey, 2011, AISTATS.

A Hierarchical Generative Model of Recurrent Object-Based Attention in the Visual Cortex

Peggy Seriès, Amos J. Storkey, David P. Reichert, 2011, ICANN.

Adaptive thresholding for reliable topological inference in single subject fMRI analysis

Mark E. Bastin, Krzysztof J. Gorgolewski, Amos J. Storkey, 2012, Front. Hum. Neurosci..

A Topic Model for Melodic Sequences

Amos J. Storkey, Athina Spiliopoulou, 2012, ICML.

Covariance-Controlled Adaptive Langevin Thermostat for Large-Scale Bayesian Sampling

Zhanxing Zhu, Benedict J. Leimkuhler, Xiaocheng Shang, 2015, NIPS.

Particle Smoothing in Continuous Time: A Fast Approach via Density Estimation

Amos J. Storkey, Lawrence M. Murray, Lawrence Murray, 2011, IEEE Trans. Signal Process..

Training Deep Convolutional Neural Networks to Play Go

Amos J. Storkey, Christopher Clark, A. Storkey, 2015, ICML.

Single subject fMRI test–retest reliability metrics and confounding factors

Mark E. Bastin, Krzysztof J. Gorgolewski, Amos J. Storkey, 2013, NeuroImage.

Asymptotically exact inference in differentiable generative models

Amos J. Storkey, Matthew M. Graham, A. Storkey, 2016, AISTATS.

HAKD: Hardware Aware Knowledge Distillation pdf

Amos J. Storkey, Elliot Crowley, Michael O'Boyle, 2018, ArXiv.

Finding Flatter Minima with SGD

Yoshua Bengio, Amos J. Storkey, Stanislaw Jastrzebski, 2018, ICLR.

BlockSwap: Fisher-guided Block Substitution for Network Compression pdf

Amos J. Storkey, Elliot Crowley, Michael O'Boyle, 2019, ICLR.

Probabilistic inference for solving discrete and continuous state Markov Decision Processes

Marc Toussaint, Amos J. Storkey, Marc Toussaint, 2006, ICML.

Multi-period Trading Prediction Markets with Connections to Machine Learning

Amos J. Storkey, Jinli Hu, A. Storkey, 2014, ICML.

The Supervised Hierarchical Dirichlet Process

Andrew M. Dai, Amos J. Storkey, A. Storkey, 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Large-Scale Study of Curiosity-Driven Learning pdf

Alexei A. Efros, Trevor Darrell, Deepak Pathak, 2018, ICLR.

A Probabilistic Model-Based Approach to Consistent White Matter Tract Segmentation

Mark E. Bastin, Amos J. Storkey, Jonathan D. Clayden, 2007, IEEE Transactions on Medical Imaging.

Test–retest reliability of structural brain networks from diffusion MRI

Mark E. Bastin, Krzysztof J. Gorgolewski, Amos J. Storkey, 2014, NeuroImage.

Reproducibility of tract segmentation between sessions using an unsupervised modelling-based approach

Mark E. Bastin, Amos J. Storkey, Susana Muñoz Maniega, 2009, NeuroImage.

Brain white matter structure and information processing speed in healthy older age

Joanna M. Wardlaw, Mark E. Bastin, Ian J. Deary, 2015, Brain Structure and Function.