
Degenerative Adversarial NeuroImage Nets for 3D Simulations: Application in Longitudinal MRI
The recent success of deep learning together with the availability of la...
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Lautum Regularization for Semisupervised Transfer Learning
Transfer learning is a very important tool in deep learning as it allows...
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Margin Maximization as Lossless Maximal Compression
The ultimate goal of a supervised learning algorithm is to produce model...
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Disentangling Interpretable Generative Parameters of Random and RealWorld Graphs
While a wide range of interpretable generative procedures for graphs exi...
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PiNet: A Permutation Invariant Graph Neural Network for Graph Classification
We propose an endtoend deep learning learning model for graph classifi...
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Neural Empirical Bayes
We formulate a novel framework that unifies kernel density estimation an...
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Improving the Robustness of Graphs through Reinforcement Learning and Graph Neural Networks
Graphs can be used to represent and reason about real world systems. A v...
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Kernel Instrumental Variable Regression
Instrumental variable regression is a strategy for learning causal relat...
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SentiMATE: Learning to play Chess through Natural Language Processing
We present SentiMATE, a novel endtoend Deep Learning model for Chess, ...
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Learning a Neural 3D Texture Space from 2D Exemplars
We propose a generative model of 2D and 3D natural textures with diversi...
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An Algorithm for Learning Shape and Appearance Models without Annotations
This paper presents a framework for automatically learning shape and app...
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Probabilistic Recursive Reasoning for MultiAgent Reinforcement Learning
Humans are capable of attributing latent mental contents such as beliefs...
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Stochastic Filter Groups for MultiTask CNNs: Learning Specialist and Generalist Convolution Kernels
The performance of multitask learning in Convolutional Neural Networks ...
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Neighborhood Cognition Consistent MultiAgent Reinforcement Learning
Social psychology and real experiences show that cognitive consistency p...
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Better Boosting with Bandits for Online Learning
Probability estimates generated by boosting ensembles are poorly calibra...
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On the Importance of Strong Baselines in Bayesian Deep Learning
Like all subfields of machine learning, Bayesian Deep Learning is drive...
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Optimizing Objectbased Perception and Control by FreeEnergy Principle
One of the wellknown formulations of human perception is a hierarchical...
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Methods and opensource toolkit for analyzing and visualizing challenge results
Biomedical challenges have become the de facto standard for benchmarking...
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TrueLearn: A Family of Bayesian Algorithms to Match Lifelong Learners to Open Educational Resources
The recent advances in computerassisted learning systems and the availa...
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Neuromorphologicalypreserving Volumetric data encoding using VQVAE
The increasing efficiency and compactness of deep learning architectures...
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Optimizing CNNbased Hyperspectral ImageClassification on FPGAs
Hyperspectral image (HSI) classification has been widely adopted in appl...
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Monte Carlo Convolution for Learning on NonUniformly Sampled Point Clouds
We propose an efficient and effective method to learn convolutions for n...
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Learning Shared Dynamics with MetaWorld Models
Humans have consciousness as the ability to perceive events and objects:...
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Modelling urban networks using Variational Autoencoders
A longstanding question for urban and regional planners pertains to the...
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Dynamic Face Video Segmentation via Reinforcement Learning
For realtime semantic video segmentation, most recent works utilise a d...
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SynthCity: A large scale synthetic point cloud
With deep learning becoming a more prominent approach for automatic clas...
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Empirical Bayesian Mixture Models for Medical Image Translation
Automatically generating one medical imaging modality from another is kn...
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MultipleIdentity Image Attacks Against Facebased Identity Verification
Facial verification systems are vulnerable to poisoning attacks that mak...
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Reproducibility of an airway tapering measurement in CT with application to bronchiectasis
Purpose: This paper proposes a pipeline to acquire a scalar tapering mea...
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Towards an Integrative Educational Recommender for Lifelong Learners
One of the most ambitious use cases of computerassisted learning is to ...
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VTrails: Inferring Vessels with Geodesic Connectivity Trees
The analysis of vessel morphology and connectivity has an impact on a nu...
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Automated Performance Assessment in Transoesophageal Echocardiography with Convolutional Neural Networks
Transoesophageal echocardiography (TEE) is a valuable diagnostic and mon...
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Higher Order of Motion Magnification for Vessel Localisation in Surgical Video
Locating vessels during surgery is critical for avoiding inadvertent dam...
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Linkage between Piecewise Constant MumfordShah model and ROF model and its virtue in image segmentation
The piecewise constant MumfordShah (PCMS) model and the RudinOsherFat...
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3D multirater RCNN for multimodal multiclass detection and characterisation of extremely small objects
Extremely small objects (ESO) have become observable on clinical routine...
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Capsule Neural Networks for Graph Classification using Explicit Tensorial Graph Representations
Graph classification is a significant problem in many scientific domains...
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A review on deep learning techniques for 3D sensed data classification
Over the past decade deep learning has driven progress in 2D image under...
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Deep Sequential Mosaicking of Fetoscopic Videos
Twintotwin transfusion syndrome treatment requires fetoscopic laser ph...
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Uncertainty Quantification in Deep Learning for Safer Neuroimage Enhancement
Deep learning (DL) has shown great potential in medical image enhancemen...
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NeuroMask: Explaining Predictions of Deep Neural Networks through Mask Learning
Deep Neural Networks (DNNs) deliver stateoftheart performance in many...
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Tapering Analysis of Airways with Bronchiectasis
Bronchiectasis is the permanent dilation of airways. Patients with the d...
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Adversarial recovery of agent rewards from latent spaces of the limit order book
Inverse reinforcement learning has proved its ability to explain statea...
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Replicaexchange NoséHoover dynamics for Bayesian learning on large datasets
In this paper, we propose a new sampler for Bayesian learning that can e...
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Faster Convergence & Generalization in DNNs
Deep neural networks have gained tremendous popularity in last few years...
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Structured MultiLabel Biomedical Text Tagging via Attentive Neural Tree Decoding
We propose a model for tagging unstructured texts with an arbitrary numb...
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Going Deeper with Point Networks
In this work, we introduce three generic point cloud processing blocks t...
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Degenerative Adversarial NeuroImage Nets: Generating Images that Mimic Disease Progression
Simulating images representative of neurodegenerative diseases is import...
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xREgoPose: Egocentric 3D Human Pose from an HMD Camera
We present a new solution to egocentric 3D body pose estimation from mon...
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Perturbed Model Validation: A New Framework to Validate Model Relevance
This paper introduces PMV (Perturbed Model Validation), a new technique ...
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Modelling Airway Geometry as Stock Market Data using Bayesian Changepoint Detection
Numerous lung diseases, such as idiopathic pulmonary fibrosis (IPF), exh...
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UCL
University College London is a public research university in London, England, and a constituent college of the federal University of London.