Desmond J. Higham

Orcid: 0000-0002-6635-3461

Affiliations:
  • University of Edinburgh, UK


According to our database1, Desmond J. Higham authored at least 116 papers between 1991 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Weighted Enumeration of Nonbacktracking Walks on Weighted Graphs.
SIAM J. Matrix Anal. Appl., March, 2024

Adaptive Stepsize Algorithms for Langevin Dynamics.
SIAM J. Sci. Comput., 2024

How adversarial attacks can disrupt seemingly stable accurate classifiers.
Neural Networks, 2024

Deceptive Diffusion: Generating Synthetic Adversarial Examples.
CoRR, 2024

Stealth edits for provably fixing or attacking large language models.
CoRR, 2024

Higher-order Connection Laplacians for Directed Simplicial Complexes.
CoRR, 2024

2023
Connectivity of Random Geometric Hypergraphs.
Entropy, November, 2023

Core-Periphery Detection in Hypergraphs.
SIAM J. Math. Data Sci., March, 2023

Diffusion Models for Generative Artificial Intelligence: An Introduction for Applied Mathematicians.
CoRR, 2023

Vulnerability Analysis of Transformer-based Optical Character Recognition to Adversarial Attacks.
CoRR, 2023

Backward error analysis and the qualitative behaviour of stochastic optimization algorithms: Application to stochastic coordinate descent.
CoRR, 2023

Can We Rely on AI?
CoRR, 2023

Estimating Network Dimension When the Spectrum Struggles.
CoRR, 2023

Adversarial Ink: Componentwise Backward Error Attacks on Deep Learning.
CoRR, 2023

Componentwise Adversarial Attacks.
Proceedings of the Artificial Neural Networks and Machine Learning, 2023

The Boundaries of Verifiable Accuracy, Robustness, and Generalisation in Deep Learning.
Proceedings of the Artificial Neural Networks and Machine Learning, 2023

2022
Mean Field Analysis of Hypergraph Contagion Models.
SIAM J. Appl. Math., December, 2022

A Hierarchy of Network Models Giving Bistability Under Triadic Closure.
Multiscale Model. Simul., December, 2022

Generative Hypergraph Models and Spectral Embedding.
CoRR, 2022

Testing a QUBO Formulation of Core-periphery Partitioning on a Quantum Annealer.
CoRR, 2022

Core-periphery Partitioning and Quantum Annealing.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021
Random Matrices Generating Large Growth in LU Factorization with Pivoting.
SIAM J. Matrix Anal. Appl., 2021

A Theory for Backtrack-Downweighted Walks.
SIAM J. Matrix Anal. Appl., 2021

Directed Network Laplacians and Random Graph Models.
CoRR, 2021

The Feasibility and Inevitability of Stealth Attacks.
CoRR, 2021

Epidemics on Hypergraphs: Spectral Thresholds for Extinction.
CoRR, 2021

Higher-order Network Analysis Takes Off, Fueled by Classical Ideas and New Data.
CoRR, 2021

Node and Edge Eigenvector Centrality for Hypergraphs.
CoRR, 2021

2020
A Personal Perspective on Numerical Analysis and Optimization.
CoRR, 2020

Consistency of Anchor-based Spectral Clustering.
CoRR, 2020

On Adversarial Examples and Stealth Attacks in Artificial Intelligence Systems.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
A Nonlinear Spectral Method for Core-Periphery Detection in Networks.
SIAM J. Math. Data Sci., 2019

Deep Learning: An Introduction for Applied Mathematicians.
SIAM Rev., 2019

Non-Backtracking Alternating Walks.
SIAM J. Appl. Math., 2019

On Constrained Langevin Equations and (Bio)Chemical Reaction Networks.
Multiscale Model. Simul., 2019

Non-backtracking PageRank.
J. Sci. Comput., 2019

A framework for second order eigenvector centralities and clustering coefficients.
CoRR, 2019

Accurate Computation of the Log-Sum-Exp and Softmax Functions.
CoRR, 2019

Centrality-friendship paradoxes: when our friends are more important than us.
J. Complex Networks, 2019

A fast and robust kernel optimization method for core-periphery detection in directed and weighted graphs.
Appl. Netw. Sci., 2019

2018
The Deformed Graph Laplacian and Its Applications to Network Centrality Analysis.
SIAM J. Matrix Anal. Appl., 2018

Computational Complexity Analysis for Monte Carlo Approximations of Classically Scaled Population Processes.
Multiscale Model. Simul., 2018

Non-backtracking walk centrality for directed networks.
J. Complex Networks, 2018

2017
Centrality Analysis for Modified Lattices.
SIAM J. Matrix Anal. Appl., 2017

Block Matrix Formulations for Evolving Networks.
SIAM J. Matrix Anal. Appl., 2017

Sparse matrix computations for dynamic network centrality.
Appl. Netw. Sci., 2017

2016
Multilevel Monte Carlo for Stochastic Differential Equations with Small Noise.
SIAM J. Numer. Anal., 2016

Matching exponential-based and resolvent-based centrality measures.
J. Complex Networks, 2016

Commentary on Dehmer and Mowshowitz.
Complex., 2016

Preserving Sparsity in Dynamic Network Computations.
Proceedings of the Complex Networks & Their Applications V - Proceedings of the 5th International Workshop on Complex Networks and their Applications (COMPLEX NETWORKS 2016), Milan, Italy, November 30, 2016

Learning LaTeX (2. ed.).
SIAM, ISBN: 978-1-611-97441-6, 2016

2015
An introduction to multilevel Monte Carlo for option valuation.
Int. J. Comput. Math., 2015

2014
Complexity of Multilevel Monte Carlo Tau-Leaping.
SIAM J. Numer. Anal., 2014

Anticipating Activity in Social Media Spikes.
CoRR, 2014

Opportunities at the Mathematics/Future Cities Interface.
CoRR, 2014

2013
Discovering and validating influence in a dynamic online social network.
Soc. Netw. Anal. Min., 2013

Survey and Review.
SIAM Rev., 2013

A Matrix Iteration for Dynamic Network Summaries.
SIAM Rev., 2013

Mean Exit Times and the Multilevel Monte Carlo Method.
SIAM/ASA J. Uncertain. Quantification, 2013

Dynamical Systems to Monitor Complex Networks in Continuous Time.
CoRR, 2013

Dynamic network centrality summarizes learning in the human brain.
J. Complex Networks, 2013

2012
Multilevel Monte Carlo for Continuous Time Markov Chains, with Applications in Biochemical Kinetics.
Multiscale Model. Simul., 2012

Bistability through Triadic Closure.
Internet Math., 2012

Computing mean first exit times for stochastic processes using multi-level Monte Carlo.
Proceedings of the Winter Simulation Conference, 2012

Dynamic Targeting in an Online Social Medium.
Proceedings of the Social Informatics, 2012

Demonstration of Dynamic Targeting in an Online Social Medium.
Proceedings of the Social Informatics, 2012

2011
Network analysis detects changes in the contralesional hemisphere following stroke.
NeuroImage, 2011

Discovering bipartite substructure in directed networks.
LMS J. Comput. Math., 2011

Googling the Brain: Discovering Hierarchical and Asymmetric Network Structures, with Applications in Neuroscience.
Internet Math., 2011

Exploring metabolic pathway disruption in the subchronic phencyclidine model of schizophrenia with the Generalized Singular Value Decomposition.
BMC Syst. Biol., 2011

2010
Network Properties Revealed through Matrix Functions.
SIAM Rev., 2010

NESSIE: Network Example Source Supporting Innovative Experimentation.
Proceedings of the Network Science - Complexity in Nature and Technology., 2010

Complex Networks: An Invitation.
Proceedings of the Network Science - Complexity in Nature and Technology., 2010

Numerical Methods for Ordinary Differential Equations - Initial Value Problems.
Springer undergraduate mathematics series, Springer, ISBN: 978-0-85729-147-9, 2010

2009
CONTEST: A Controllable Test Matrix Toolbox for MATLAB.
ACM Trans. Math. Softw., 2009

Geometric De-noising of Protein-Protein Interaction Networks.
PLoS Comput. Biol., 2009

Comparing Hitting Time Behavior of Markov Jump Processes and Their Diffusion Approximations.
Multiscale Model. Simul., 2009

Switching and Diffusion Models for Gene Regulation Networks.
Multiscale Model. Simul., 2009

Analysing multi-level Monte Carlo for options with non-globally Lipschitz payoff.
Finance Stochastics, 2009

2008
Chemical Master Equation and Langevin regimes for a gene transcription model.
Theor. Comput. Sci., 2008

Asymptotic Stability of a Jump-Diffusion Equation and Its Numerical Approximation.
SIAM J. Sci. Comput., 2008

Modeling and Simulating Chemical Reactions.
SIAM Rev., 2008

Multidimensional partitioning and bi-partitioning: analysis and application to gene expression data sets.
Int. J. Comput. Math., 2008

Fitting a geometric graph to a protein-protein interaction network.
Bioinform., 2008

2007
Almost Sure and Moment Exponential Stability in the Numerical Simulation of Stochastic Differential Equations.
SIAM J. Numer. Anal., 2007

Preserving exponential mean-square stability in the simulation of hybrid stochastic differential equations.
Numerische Mathematik, 2007

Connectivity-based parcellation of human cortex using diffusion MRI: Establishing reproducibility, validity and observer independence in BA 44/45 and SMA/pre-SMA.
NeuroImage, 2007

Identification of phenotypes in patient microarrays.
BMC Syst. Biol., 2007

Progression of oral carcinomas revealed by spectral reordering of a bipartite graph.
BMC Syst. Biol., 2007

Modelling the cAMP pathway using BioNessie, and the use of BVP techniques for solving ODEs.
BMC Syst. Biol., 2007

A clustering coefficient for weighted networks, with application to gene expression data.
AI Commun., 2007

2006
A lock-and-key model for protein-protein interactions.
Bioinform., 2006

2005
Numerical methods for nonlinear stochastic differential equations with jumps.
Numerische Mathematik, 2005

GeneRank: Using search engine technology for the analysis of microarray experiments.
BMC Bioinform., 2005

Google PageRank as mean playing time for pinball on the reverse web.
Appl. Math. Lett., 2005

Matlab guide, Second Edition.
SIAM, ISBN: 978-0-89871-578-1, 2005

2004
Black-Scholes for scientific computing students.
Comput. Sci. Eng., 2004

2003
A Matrix Perturbation View of the Small World Phenomenon.
SIAM J. Matrix Anal. Appl., 2003

Exponential Mean-Square Stability of Numerical Solutions to Stochastic Differential Equations.
LMS J. Comput. Math., 2003

2002
Nine Ways to Implement the Binomial Method for Option Valuation in MATLAB.
SIAM Rev., 2002

Strong Convergence of Euler-Type Methods for Nonlinear Stochastic Differential Equations.
SIAM J. Numer. Anal., 2002

2001
An Algorithmic Introduction to Numerical Simulation of Stochastic Differential Equations.
SIAM Rev., 2001

2000
Phase Space Error Control for Dynamical Systems.
SIAM J. Sci. Comput., 2000

Runge-Kutta Solutions of a Hyperbolic Conservation Law with Source Term.
SIAM J. Sci. Comput., 2000

Mean-Square and Asymptotic Stability of the Stochastic Theta Method.
SIAM J. Numer. Anal., 2000

Theta Method Dynamics.
LMS J. Comput. Math., 2000

Matlab guide.
SIAM, ISBN: 978-0-89871-469-2, 2000

1999
Trust Region Algorithms and Timestep Selection.
SIAM J. Numer. Anal., 1999

1998
Structured Backward Error and Condition of Generalized Eigenvalue Problems.
SIAM J. Matrix Anal. Appl., 1998

1997
Stepsize selection for tolerance proportionality in explicit Runge-Kutta codes.
Adv. Comput. Math., 1997

1996
Reliability of local error control algorithms for initial value ordinary differential equations.
Proceedings of the Quality of Numerical Software, 1996

1992
Order Stars (A. Iserles and S. P. Nørsett).
SIAM Rev., 1992

Backward Error and Condition of Structured Linear Systems.
SIAM J. Matrix Anal. Appl., 1992

1991
Remark on algorithm 669.
ACM Trans. Math. Softw., 1991

Highly continuous Runge-Kutta interpolants.
ACM Trans. Math. Softw., 1991

Runge-Kutta Defect Control Using Hermite-Birkhoff Interpolation.
SIAM J. Sci. Comput., 1991


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