Amos J. Storkey

CoRR, 2023

Planning to Go Out-of-Distribution in Offline-to-Online Reinforcement Learning.

[BibT_eX]

[DOI]

Trevor McInroe

Stefano V. Albrecht

CoRR, 2023

Chunking: Forgetting Matters in Continual Learning even without Changing Tasks.

[BibT_eX]

[DOI]

Thomas L. Lee

CoRR, 2023

Development of a Deep Learning Method to Identify Acute Ischemic Stroke Lesions on Brain CT.

[BibT_eX]

[DOI]

Alessandro Fontanella

CoRR, 2023

Contrastive Learning for Non-Local Graphs with Multi-Resolution Structural Views.

[BibT_eX]

[DOI]

CoRR, 2023

Diffusion Models for Counterfactual Generation and Anomaly Detection in Brain Images.

[BibT_eX]

[DOI]

Alessandro Fontanella

CoRR, 2023

Label Noise: Correcting a Correction.

[BibT_eX]

[DOI]

William Toner

CoRR, 2023

Efficient and fully-automatic retinal choroid segmentation in OCT through DL-based distillation of a hand-crafted pipeline.

[BibT_eX]

[DOI]

CoRR, 2023

Class Conditional Gaussians for Continual Learning.

[BibT_eX]

[DOI]

Thomas L. Lee

CoRR, 2023

QuickQual: Lightweight, Convenient Retinal Image Quality Scoring with Off-the-Shelf Pretrained Models.

[BibT_eX]

[DOI]

Justin Engelmann

Miguel O. Bernabeu

Proceedings of the Ophthalmic Medical Image Analysis - 10th International Workshop, 2023

ACAT: Adversarial Counterfactual Attention for Classification and Detection in Medical Imaging.

[BibT_eX]

[DOI]

Alessandro Fontanella

Proceedings of the International Conference on Machine Learning, 2023

Contrastive Meta-Learning for Partially Observable Few-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Adversarial robustness of VAEs through the lens of local geometry.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Using Deep Learning to Model Elevation Differences between Radar and Laser Altimetry.

[BibT_eX]

[DOI]

Remote. Sens., December, 2022

Detecting multiple retinal diseases in ultra-widefield fundus imaging and data-driven identification of informative regions with deep learning.

[BibT_eX]

[DOI]

Nat. Mac. Intell., December, 2022

Meta-Learning in Neural Networks: A Survey.

[BibT_eX]

[DOI]

Timothy M. Hospedales

Maria del C. Valdés Hernández

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Deep attention super-resolution of brain magnetic resonance images acquired under clinical protocols.

[BibT_eX]

[DOI]

Bryan M. Li

Leonardo V. Castorina

Michael J. Thrippleton

Michael S. Stringer

Joanna M. Wardlaw

Frontiers Comput. Neurosci., 2022

Adversarial robustness of β-VAE through the lens of local geometry.

[BibT_eX]

[DOI]

CoRR, 2022

Learning Task Embeddings for Teamwork Adaptation in Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Detection of multiple retinal diseases in ultra-widefield fundus images using deep learning: data-driven identification of relevant regions.

[BibT_eX]

[DOI]

CoRR, 2022

Hamiltonian Latent Operators for content and motion disentanglement in image sequences.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Robust and Efficient Computation of Retinal Fractal Dimension Through Deep Approximation.

[BibT_eX]

[DOI]

Justin Engelmann

Ana Villaplana-Velasco

Miguel O. Bernabeu

Proceedings of the Ophthalmic Medical Image Analysis - 9th International Workshop, 2022

Prediction-Guided Distillation for Dense Object Detection.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Global explainability in aligned image modalities.

[BibT_eX]

[DOI]

Justin Engelmann

Miguel O. Bernabeu

CoRR, 2021

Hamiltonian Operator Disentanglement of Content and Motion in Image Sequences.

[BibT_eX]

[DOI]

Mohammad Asif Khan

CoRR, 2021

How Sensitive are Meta-Learners to Dataset Imbalance?

[BibT_eX]

[DOI]

Mateusz Ochal

Jose Vazquez

Sen Wang

CoRR, 2021

Substituting Convolutions for Neural Network Compression.

[BibT_eX]

[DOI]

IEEE Access, 2021

Gradient-based Hyperparameter Optimization Over Long Horizons.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Neural Architecture Search without Training.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Better Training using Weight-Constrained Stochastic Dynamics.

[BibT_eX]

[DOI]

Benedict J. Leimkuhler

Tiffany J. Vlaar

Timothée Pouchon

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Non-greedy Gradient-based Hyperparameter Optimization Over Long Horizons.

[BibT_eX]

[DOI]

CoRR, 2020

Constraint-Based Regularization of Neural Networks.

[BibT_eX]

[DOI]

Benedict J. Leimkuhler

Timothée Pouchon

Tiffany Vlaar

CoRR, 2020

Neural Architecture Search without Training.

[BibT_eX]

[DOI]

Joseph Charles Mellor

CoRR, 2020

Defining Benchmarks for Continual Few-Shot Learning.

[BibT_eX]

[DOI]

Mateusz Ochal

CoRR, 2020

DHOG: Deep Hierarchical Object Grouping.

[BibT_eX]

[DOI]

CoRR, 2020

What Information Does a ResNet Compress?

[BibT_eX]

[DOI]

CoRR, 2020

Comparing recurrent and convolutional neural networks for predicting wave propagation.

[BibT_eX]

[DOI]

CoRR, 2020

Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Self-Supervised Relational Reasoning for Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

BlockSwap: Fisher-guided Block Substitution for Network Compression on a Budget.

[BibT_eX]

[DOI]

Gavin Gray

Proceedings of the 8th International Conference on Learning Representations, 2020

Optimizing Grouped Convolutions on Edge Devices.

[BibT_eX]

[DOI]

Proceedings of the 31st IEEE International Conference on Application-specific Systems, 2020

2019

Deep Kernel Transfer in Gaussian Processes for Few-shot Learning.

[BibT_eX]

[DOI]

CoRR, 2019

BlockSwap: Fisher-guided Block Substitution for Network Compression.

[BibT_eX]

[DOI]

CoRR, 2019

Separable Layers Enable Structured Efficient Linear Substitutions.

[BibT_eX]

[DOI]

Gavin Gray

CoRR, 2019

Learning to learn via Self-Critique.

[BibT_eX]

[DOI]

CoRR, 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

Zero-shot Knowledge Transfer via Adversarial Belief Matching.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning to Learn By Self-Critique.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Performance Aware Convolutional Neural Network Channel Pruning for Embedded GPUs.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Workload Characterization, 2019

On the Relation Between the Sharpest Directions of DNN Loss and the SGD Step Length.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Exploration by random network distillation.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Large-Scale Study of Curiosity-Driven Learning.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

How to train your MAML.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Dilated DenseNets for Relational Reasoning.

[BibT_eX]

[DOI]

CoRR, 2018

HAKD: Hardware Aware Knowledge Distillation.

[BibT_eX]

[DOI]

CoRR, 2018

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

[BibT_eX]

[DOI]

CoRR, 2018

CINIC-10 is not ImageNet or CIFAR-10.

[BibT_eX]

[DOI]

CoRR, 2018

GINN: Geometric Illustration of Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2018

DNN's Sharpest Directions Along the SGD Trajectory.

[BibT_eX]

[DOI]

CoRR, 2018

Moonshine: Distilling with Cheap Convolutions.

[BibT_eX]

[DOI]

Gavin Gray

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Symposium on Workload Characterization, 2018

Finding Flatter Minima with SGD.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

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

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Augmenting Image Classifiers Using Data Augmentation Generative Adversarial Networks.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

2017

Three Factors Influencing Minima in SGD.

[BibT_eX]

[DOI]

CoRR, 2017

Data Augmentation Generative Adversarial Networks.

[BibT_eX]

[DOI]

CoRR, 2017

Continuously Tempered Hamiltonian Monte Carlo.

[BibT_eX]

[DOI]

Matthew M. Graham

Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Towards a Neural Statistician.

[BibT_eX]

[DOI]

Maria del Milagro Fernández-Carrobles

Proceedings of the 5th International Conference on Learning Representations, 2017

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

[BibT_eX]

[DOI]

Tim Llewellynn

Proceedings of the Computing Frontiers Conference, 2017

Asymptotically exact inference in differentiable generative models.

[BibT_eX]

[DOI]

Matthew M. Graham

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

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

[BibT_eX]

[DOI]

Cyril R. Pernet

Krzysztof J. Gorgolewski

Int. J. Medical Informatics, 2016

Censoring Representations with an Adversary.

[BibT_eX]

[DOI]

Proceedings of the 4th International Conference on Learning Representations, 2016

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

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

The Supervised Hierarchical Dirichlet Process.

[BibT_eX]

[DOI]

Andrew M. Dai

IEEE Trans. Pattern Anal. Mach. Intell., 2015

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

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

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

[BibT_eX]

[DOI]

Jinli Hu

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

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

[BibT_eX]

[DOI]

Xiaocheng Shang

Benedict J. Leimkuhler

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Training Deep Convolutional Neural Networks to Play Go.

[BibT_eX]

[DOI]

Christopher Clark

Proceedings of the 32nd International Conference on Machine Learning, 2015

2014

Series Expansion Approximations of Brownian Motion for Non-Linear Kalman Filtering of Diffusion Processes.

[BibT_eX]

[DOI]

Simon M. J. Lyons

Simo Särkkä

IEEE Trans. Signal Process., 2014

Test-retest reliability of structural brain networks from diffusion MRI.

[BibT_eX]

[DOI]

Colin R. Buchanan

Cyril R. Pernet

Krzysztof J. Gorgolewski

Mark E. Bastin

NeuroImage, 2014

Teaching Deep Convolutional Neural Networks to Play Go.

[BibT_eX]

[DOI]

Christopher Clark

CoRR, 2014

Multi-period Trading Prediction Markets with Connections to Machine Learning.

[BibT_eX]

[DOI]

Jinli Hu

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

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

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2013

Single subject fMRI test-retest reliability metrics and confounding factors.

[BibT_eX]

[DOI]

Krzysztof J. Gorgolewski

NeuroImage, 2013

Bayesian Inference in Sparse Gaussian Graphical Models.

[BibT_eX]

[DOI]

Peter Orchard

Felix V. Agakov

CoRR, 2013

2012

Discriminative Mixtures of Sparse Latent Fields for Risk Management.

[BibT_eX]

[DOI]

Felix V. Agakov

Peter Orchard

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Continuous Relaxations for Discrete Hamiltonian Monte Carlo.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

The Coloured Noise Expansion and Parameter Estimation of Diffusion Processes.

[BibT_eX]

[DOI]

Simon M. J. Lyons

Simo Särkkä

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Isoelastic Agents and Wealth Updates in Machine Learning Markets.

[BibT_eX]

[DOI]

Jono Millin

Krzysztof J. Geras

Proceedings of the 29th International Conference on Machine Learning, 2012

A Topic Model for Melodic Sequences.

[BibT_eX]

[DOI]

Athina Spiliopoulou

Proceedings of the 29th International Conference on Machine Learning, 2012

2011

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

[BibT_eX]

[DOI]

Lawrence Murray

IEEE Trans. Signal Process., 2011

Machine Learning Markets.

[BibT_eX]

[DOI]

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Comparing Probabilistic Models for Melodic Sequences.

[BibT_eX]

[DOI]

Athina Spiliopoulou

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Neuronal Adaptation for Sampling-Based Probabilistic Inference in Perceptual Bistability.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

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

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

The Grouped Author-Topic Model for Unsupervised Entity Resolution.

[BibT_eX]

[DOI]

Andrew M. Dai

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

2010

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

[BibT_eX]

[DOI]

Alasdair M. J. MacLullich

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Sparse Instrumental Variables (SPIV) for Genome-Wide Studies.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2009

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

[BibT_eX]

[DOI]

NeuroImage, 2009

2008

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

[BibT_eX]

[DOI]

Jonathan D. Clayden

NeuroImage, 2008

2007

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

[BibT_eX]

[DOI]

Jonathan D. Clayden

Mark E. Bastin

IEEE Trans. Medical Imaging, 2007

Modelling motion primitives and their timing in biologically executed movements.

[BibT_eX]

[DOI]

Ben H. Williams

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Continuous Time Particle Filtering for fMRI.

[BibT_eX]

[DOI]

Lawrence Murray

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

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

[BibT_eX]

[DOI]

Ben H. Williams

Proceedings of the IJCAI 2007, 2007

2006

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

[BibT_eX]

[DOI]

Jonathan D. Clayden

Mark E. Bastin

NeuroImage, 2006

Learning Structural Equation Models for fMRI.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Mixture Regression for Covariate Shift.

[BibT_eX]

[DOI]

Masashi Sugiyama

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Probabilistic inference for solving discrete and continuous state Markov Decision Processes.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2006

Extracting Motion Primitives from Natural Handwriting Data.

[BibT_eX]

[DOI]

Ben H. Williams

Proceedings of the Artificial Neural Networks, 2006

2005

The 2005 PASCAL Visual Object Classes Challenge.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning Challenges, 2005

2004

Cosine Transform Priors for Enhanced Decoding of Compressed Images.

[BibT_eX]

[DOI]

Michael Allan

Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

2003

Image Modeling with Position-Encoding Dynamic Trees.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2003

Renewal Strings for Cleaning Astronomical Databases.

[BibT_eX]

[DOI]

Nigel C. Hambly

Robert G. Mann

Proceedings of the UAI '03, 2003

Generalised Propagation for Fast Fourier Transforms with Partial or Missing Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

2002

Dynamic Structure Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

2001

Dynamic Positional Trees for Structural Image Analysis.

[BibT_eX]

[DOI]

Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, 2001

2000

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

[BibT_eX]

[DOI]

Proceedings of the UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30, 2000

MFDTs: Mean Field Dynamic Trees.

[BibT_eX]

[DOI]

Nicholas J. Adams