
Solving Challenging Dexterous Manipulation Tasks With Trajectory Optimisation and Reinforcement Learning
Training agents to autonomously learn how to use anthropomorphic robotic...
read it

Unifying machine learning and quantum chemistry  a deep neural network for molecular wavefunctions
Machine learning advances chemistry and materials science by enabling la...
read it

A Recommendation and Risk Classification System for Connecting Rough Sleepers to Essential Outreach Services
Rough sleeping is a chronic problem faced by some of the most disadvanta...
read it

Probabilistic solution of chaotic dynamical system inverse problems using Bayesian Artificial Neural Networks
This paper demonstrates the application of Bayesian Artificial Neural Ne...
read it

PlanGAN: Modelbased Planning With Sparse Rewards and Multiple Goals
Learning with sparse rewards remains a significant challenge in reinforc...
read it

VFCNN: Volumetric Fully Convolution Neural Network For Automatic Atrial Segmentation
Atrial Fibrillation (AF) is a common electrophysiological cardiac disor...
read it

Adaptive Learning Rate Clipping Stabilizes Learning
Artificial neural network training with stochastic gradient descent can ...
read it

Improving Coordination in MultiAgent Deep Reinforcement Learning through Memorydriven Communication
Deep reinforcement learning algorithms have recently been used to train ...
read it

Model inference for Ordinary Differential Equations by parametric polynomial kernel regression
Model inference for dynamical systems aims to estimate the future behavi...
read it

Deep Learningbased Vehicle Behaviour Prediction For Autonomous Driving Applications: A Review
Behaviour prediction function of an autonomous vehicle predicts the futu...
read it

Multiple Object Forecasting: Predicting Future Object Locations in Diverse Environments
This paper introduces the problem of multiple object forecasting (MOF), ...
read it

PanNuke Dataset Extension, Insights and Baselines
The emerging area of computational pathology (CPath) is ripe ground for ...
read it

A deep neural network for molecular wave functions in quasiatomic minimal basis representation
The emergence of machine learning methods in quantum chemistry provides ...
read it

Multiagent Deep Reinforcement Learning with Extremely Noisy Observations
Multiagent reinforcement learning systems aim to provide interacting ag...
read it

VISIR: Visual and Semantic Image Label Refinement
The social media explosion has populated the Internet with a wealth of i...
read it

Scalable Partial Explainability in Neural Networks via Flexible Activation Functions
Achieving transparency in blackbox deep learning algorithms is still an...
read it

Follow the Object: Curriculum Learning for Manipulation Tasks with Imagined Goals
Learning robot manipulation through deep reinforcement learning in envir...
read it

Improving Electron Micrograph SignaltoNoise with an Atrous Convolutional EncoderDecoder
We present an atrous convolutional encoderdecoder trained to denoise 51...
read it

Autoencoders, Kernels, and Multilayer Perceptrons for Electron Micrograph Restoration and Compression
We present 14 autoencoders, 15 kernels and 14 multilayer perceptrons for...
read it

Warwick Image Forensics Dataset for Device Fingerprinting In Multimedia Forensics
Device fingerprints like sensor pattern noise (SPN) are widely used for ...
read it

AgeOriented Face Synthesis with Conditional Discriminator Pool and Adversarial Triplet Loss
The vanilla Generative Adversarial Networks (GAN) are commonly used to g...
read it

On the Constrained Leastcost Tour Problem
We introduce the Constrained Leastcost Tour (CLT) problem: given an und...
read it

ContextAware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images
Digital histology images are amenable to the application of convolutiona...
read it

Towards Deep Learning Models for Psychological State Prediction using Smartphone Data: Challenges and Opportunities
There is an increasing interest in exploiting mobile sensing technologie...
read it

Mental Sampling in Multimodal Representations
Both resources in the natural environment and concepts in a semantic spa...
read it

Learning Graphical Models from a Distributed Stream
A current challenge for data management systems is to support the constr...
read it

3D Object Reconstruction from a Single Depth View with Adversarial Learning
In this paper, we propose a novel 3DRecGAN approach, which reconstructs...
read it

Programming Patterns in Dataflow Matrix Machines and Generalized Recurrent Neural Nets
Dataflow matrix machines arise naturally in the context of synchronous d...
read it

Dataflow matrix machines as programmable, dynamically expandable, selfreferential generalized recurrent neural networks
Dataflow matrix machines are a powerful generalization of recurrent neur...
read it

Dataflow Matrix Machines as a Generalization of Recurrent Neural Networks
Dataflow matrix machines are a powerful generalization of recurrent neur...
read it

Linear Models of Computation and Program Learning
We consider two classes of computations which admit taking linear combin...
read it

Turing at SemEval2017 Task 8: Sequential Approach to Rumour Stance Classification with BranchLSTM
This paper describes team Turing's submission to SemEval 2017 RumourEval...
read it

Confusing Deep Convolution Networks by Relabelling
Deep convolutional neural networks have become the gold standard for ima...
read it

Efficient batchwise dropout training using submatrices
Dropout is a popular technique for regularizing artificial neural networ...
read it

Geometry and Dynamics for Markov Chain Monte Carlo
Markov Chain Monte Carlo methods have revolutionised mathematical comput...
read it

Sparse arrays of signatures for online character recognition
In mathematics the signature of a path is a collection of iterated integ...
read it

Monotonicity of Fitness Landscapes and Mutation Rate Control
The typical view in evolutionary biology is that mutation rates are mini...
read it

Directed expected utility networks
A variety of statistical graphical models have been defined to represent...
read it

A Reduction for Optimizing Lattice Submodular Functions with Diminishing Returns
A function f: Z_+^E →R_+ is DRsubmodular if it satisfies f( + χ_i) f (...
read it

Random Coordinate Descent Methods for Minimizing Decomposable Submodular Functions
Submodular function minimization is a fundamental optimization problem t...
read it

Accelerating a hybrid continuumatomistic fluidic model with onthefly machine learning
We present a hybrid continuumatomistic scheme which combines molecular ...
read it

On the Geometric Ergodicity of Hamiltonian Monte Carlo
We establish general conditions under which Markov chains produced by th...
read it

Tractable Combinations of Global Constraints
We study the complexity of constraint satisfaction problems involving gl...
read it

Sampling constrained probability distributions using Spherical Augmentation
Statistical models with constrained probability distributions are abunda...
read it

FrankWolfe Bayesian Quadrature: Probabilistic Integration with Theoretical Guarantees
There is renewed interest in formulating integration as an inference pro...
read it

Highdimensional Ordinary Leastsquares Projection for Screening Variables
Variable selection is a challenging issue in statistical applications wh...
read it

Bayesian model comparison with unnormalised likelihoods
Models for which the likelihood function can be evaluated only up to a p...
read it

Unbiased Bayes for Big Data: Paths of Partial Posteriors
A key quantity of interest in Bayesian inference are expectations of fun...
read it

Gland Segmentation in Colon Histology Images: The GlaS Challenge Contest
Colorectal adenocarcinoma originating in intestinal glandular structures...
read it

Exact Estimation of Multiple Directed Acyclic Graphs
This paper considers the problem of estimating the structure of multiple...
read it
University of Warwick
The University of Warwick is one of the UK's leading universities with an acknowledged reputation for excellence in research and teaching, for innovation, and for links with business and industry. Founded in 1965 with an initial intake of 450 undergrad...