The University of Auckland

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The University of Auckland is the largest university in New Zealand, located in the country's largest city, Auckland.

Four Things Everyone Should Know to Improve Batch Normalization

A key component of most neural network architectures is the use of norma...
06/09/2019 ∙ by Cecilia Summers, et al. ∙ 13 ∙ share

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Improved Adversarial Robustness via Logit Regularization Methods

While great progress has been made at making neural networks effective a...
06/10/2019 ∙ by Cecilia Summers, et al. ∙ 2 ∙ share

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Network, Popularity and Social Cohesion: A Game-Theoretic Approach

In studies of social dynamics, cohesion refers to a group's tendency to ...
12/26/2016 ∙ by Jiamou Liu, et al. ∙ 0 ∙ share

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Trainable back-propagated functional transfer matrices

Connections between nodes of fully connected neural networks are usually...
10/28/2017 ∙ by Cheng-Hao Cai, et al. ∙ 0 ∙ share

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Ceteris paribus logic in counterfactual reasoning

The semantics for counterfactuals due to David Lewis has been challenged...
06/24/2016 ∙ by Patrick Girard, et al. ∙ 0 ∙ share

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A Refinement-Based Architecture for Knowledge Representation and Reasoning in Robotics

This paper describes an architecture that combines the complementary str...
08/17/2015 ∙ by Mohan Sridharan, et al. ∙ 0 ∙ share

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Mixed Logical and Probabilistic Reasoning for Planning and Explanation Generation in Robotics

Robots assisting humans in complex domains have to represent knowledge a...
08/01/2015 ∙ by Zenon Colaco, et al. ∙ 0 ∙ share

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Speeding up SOR Solvers for Constraint-based GUIs with a Warm-Start Strategy

Many computer programs have graphical user interfaces (GUIs), which need...
01/06/2014 ∙ by Noreen Jamil, et al. ∙ 0 ∙ share

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Texture Modelling with Nested High-order Markov-Gibbs Random Fields

Currently, Markov-Gibbs random field (MGRF) image models which include h...
10/08/2015 ∙ by Ralph Versteegen, et al. ∙ 0 ∙ share

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Look Who's Talking: Bipartite Networks as Representations of a Topic Model of New Zealand Parliamentary Speeches

Quantitative methods to measure the participation to parliamentary debat...
07/11/2017 ∙ by Ben Curran, et al. ∙ 0 ∙ share

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Infinite and Bi-infinite Words with Decidable Monadic Theories

We study word structures of the form (D,<,P) where D is either N or Z, <...
12/11/2017 ∙ by Dietrich Kuske, et al. ∙ 0 ∙ share

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Attaching leaves and picking cherries to characterise the hybridisation number for a set of phylogenies

Throughout the last decade, we have seen much progress towards character...
12/12/2017 ∙ by Simone Linz, et al. ∙ 0 ∙ share

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On the existence of a cherry-picking sequence

Recently, the minimum number of reticulation events that is required to ...
12/12/2017 ∙ by Janosch Döcker, et al. ∙ 0 ∙ share

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Deciding the existence of a cherry-picking sequence is hard on two trees

Here we show that deciding whether two rooted binary phylogenetic trees ...
12/08/2017 ∙ by Janosch Döcker, et al. ∙ 0 ∙ share

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Closure of resource-bounded randomness notions under polynomial time permutations

An infinite bit sequence is called recursively random if no computable s...
09/26/2017 ∙ by Andre Nies, et al. ∙ 0 ∙ share

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Cognitive Hierarchy and Voting Manipulation

By the Gibbard--Satterthwaite theorem, every reasonable voting rule for ...
07/26/2017 ∙ by Edith Elkind, et al. ∙ 0 ∙ share

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Bayesian nonparametric spectral density estimation using B-spline priors

We present a new Bayesian nonparametric approach to estimating the spect...
07/16/2017 ∙ by Matthew C. Edwards, et al. ∙ 0 ∙ share

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Computing Entropies With Nested Sampling

The Shannon entropy, and related quantities such as mutual information, ...
07/12/2017 ∙ by Brendon J. Brewer, et al. ∙ 0 ∙ share

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Estimation of the Robin coefficient field in a Poisson problem with uncertain conductivity field

We consider the reconstruction of a heterogeneous coefficient field in a...
01/11/2018 ∙ by Ruanui Nicholson, et al. ∙ 0 ∙ share

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Is profile likelihood a true likelihood? An argument in favor

Profile likelihood is the key tool for dealing with nuisance parameters ...
01/13/2018 ∙ by Oliver J. Maclaren, et al. ∙ 0 ∙ share

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A machine learning approach to reconstruction of heart surface potentials from body surface potentials

Invasive cardiac catheterisation is a common procedure that is carried o...
01/19/2018 ∙ by Avinash Malik, et al. ∙ 0 ∙ share

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Committee Scoring Rules: Axiomatic Characterization and Hierarchy

Committee scoring voting rules are multiwinner analogues of positional s...
02/19/2018 ∙ by Piotr Faliszewski, et al. ∙ 0 ∙ share

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Probabilistic team semantics

Team semantics is a semantical framework for the study of dependence and...
03/06/2018 ∙ by Arnaud Durand, et al. ∙ 0 ∙ share

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From the Periphery to the Center: Information Brokerage in an Evolving Network

Interpersonal ties are pivotal to individual efficacy, status and perfor...
05/02/2018 ∙ by Bo Yan, et al. ∙ 0 ∙ share

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AuthStore: Password-based Authentication and Encrypted Data Storage in Untrusted Environments

Passwords are widely used for client to server authentication as well as...
05/14/2018 ∙ by Clemens Zeidler, et al. ∙ 0 ∙ share

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A Computational Framework for Modelling and Analyzing Ice Storms

Ice storms are extreme weather events that can have devastating implicat...
05/13/2018 ∙ by Ranjini Swaminathan, et al. ∙ 0 ∙ share

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On the Subnet Prune and Regraft Distance

Phylogenetic networks are rooted directed acyclic graphs that represent ...
05/20/2018 ∙ by Jonathan Klawitter, et al. ∙ 0 ∙ share

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Improved Mixed-Example Data Augmentation

In order to reduce overfitting, neural networks are typically trained wi...
05/29/2018 ∙ by Cecilia Summers, et al. ∙ 0 ∙ share

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FPGA-based Acceleration of FT Convolution for Pulsar Search Using OpenCL

The Square Kilometre Array (SKA) project will be the world largest radio...
05/31/2018 ∙ by Haomiao Wang, et al. ∙ 0 ∙ share

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An Overview of Perception Methods for Horticultural Robots: From Pollination to Harvest

Horticultural enterprises are becoming more sophisticated as the range o...
06/26/2018 ∙ by Ho Seok Ahn, et al. ∙ 0 ∙ share

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Probability Calibration Trees

Obtaining accurate and well calibrated probability estimates from classi...
07/31/2018 ∙ by Tim Leathart, et al. ∙ 0 ∙ share

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Adaptive Approximation Error Models for Efficient Uncertainty Quantification with Application to Multiphase Subsurface Fluid Flow

Sample-based Bayesian inference provides a route to uncertainty quantifi...
09/10/2018 ∙ by Tiangang Cui, et al. ∙ 0 ∙ share

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Incorporating Posterior Model Discrepancy into a Hierarchical Framework to Facilitate Out-of-the-Box MCMC Sampling for Geothermal Inverse Problems and Uncertainty Quantificatio

We consider geothermal inverse problems and uncertainty quantification f...
10/10/2018 ∙ by Oliver J. Maclaren, et al. ∙ 0 ∙ share

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Finding Answers from the Word of God: Domain Adaptation for Neural Networks in Biblical Question Answering

Question answering (QA) has significantly benefitted from deep learning ...
10/26/2018 ∙ by Helen Jiahe Zhao, et al. ∙ 0 ∙ share

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A tight kernel for computing the tree bisection and reconnection distance between two phylogenetic trees

In 2001 Allen and Steel showed that, if subtree and chain reduction rule...
11/16/2018 ∙ by Steven Kelk, et al. ∙ 0 ∙ share

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Bayesian Nonparametric Analysis of Multivariate Time Series: A Matrix Gamma Process Approach

While there is an increasing amount of literature about Bayesian time se...
11/26/2018 ∙ by Alexander Meier, et al. ∙ 0 ∙ share

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Target Driven Visual Navigation with Hybrid Asynchronous Universal Successor Representations

Being able to navigate to a target with minimal supervision and prior kn...
11/27/2018 ∙ by Shamane Siriwardhana, et al. ∙ 0 ∙ share

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Information Extraction Framework to Build Legislation Network

This paper concerns an Information Extraction process for building a dyn...
12/04/2018 ∙ by Neda Sakhaee, et al. ∙ 0 ∙ share

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Quantum Equivalence of the DLP and CDHP for Group Actions

In this short note we give a polynomial-time quantum reduction from the ...
12/21/2018 ∙ by Steven Galbraith, et al. ∙ 0 ∙ share

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Modelling Career Trajectories of Cricket Players Using Gaussian Processes

In the sport of cricket, variations in a player's batting ability can us...
03/18/2019 ∙ by Oliver G. Stevenson, et al. ∙ 0 ∙ share

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Source Camera Attribution of Multi-Format Devices

Photo Response Non-Uniformity (PRNU) based source camera attribution is ...
04/02/2019 ∙ by Samet Taspinar, et al. ∙ 0 ∙ share

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What can be estimated? Identifiability, estimability, causal inference and ill-posed inverse problems

Here we consider, in the context of causal inference, the general questi...
04/04/2019 ∙ by Oliver J. Maclaren, et al. ∙ 0 ∙ share

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Spectral density estimation using P-spline priors

This article proposes a Bayesian approach to estimating the spectral den...
05/06/2019 ∙ by Patricio Maturana-Russel, et al. ∙ 0 ∙ share

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New reduction rules for the tree bisection and reconnection distance

Recently it was shown that, if the subtree and chain reduction rules hav...
05/04/2019 ∙ by Steven Kelk, et al. ∙ 0 ∙ share

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Finding Rats in Cats: Detecting Stealthy Attacks using Group Anomaly Detection

Advanced attack campaigns span across multiple stages and stay stealthy ...
05/16/2019 ∙ by Aditya Kuppa, et al. ∙ 0 ∙ share

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Recurring Concept Meta-learning for Evolving Data Streams

When concept drift is detected during classification in a data stream, a...
05/21/2019 ∙ by Robert Anderson, et al. ∙ 0 ∙ share

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Edge User Allocation with Dynamic Quality of Service

In edge computing, edge servers are placed in close proximity to end-use...
07/26/2019 ∙ by Phu Lai, et al. ∙ 0 ∙ share

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Large Scale Geometries of Infinite Strings

We introduce geometric consideration into the theory of formal languages...
08/10/2019 ∙ by Bakhadyr Khoussainov, et al. ∙ 0 ∙ share

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Revisiting Wedge Sampling for Budgeted Maximum Inner Product Search

Top-k maximum inner product search (MIPS) is a central task in many mach...
08/23/2019 ∙ by Stephan S. Lorenzen, et al. ∙ 0 ∙ share

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Finding your feet: a Gaussian process model for estimating the abilities of batsmen in Test cricket

In the sport of cricket, player batting ability is traditionally measure...
08/30/2019 ∙ by Oliver George Stevenson, et al. ∙ 0 ∙ share

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