Mauricio Barahona

Affiliations:
  • Imperial College London, Department of Mathematics, UK


According to our database1, Mauricio Barahona authored at least 83 papers between 2002 and 2023.

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

Timeline

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Bibliography

2023
Kernel-Based Independence Tests for Causal Structure Learning on Functional Data.
Entropy, December, 2023

BART-based inference for Poisson processes.
Comput. Stat. Data Anal., April, 2023

A continuous Structural Intervention Distance to compare Causal Graphs.
CoRR, 2023

RamanSPy: An open-source Python package for integrative Raman spectroscopy data analysis.
CoRR, 2023

Persistent Homology of the Multiscale Clustering Filtration.
CoRR, 2023

Interpretable statistical representations of neural population dynamics and geometry.
CoRR, 2023

Feature Engineering Methods on Multivariate Time-Series Data for Financial Data Science Competitions.
CoRR, 2023

Understanding Model Complexity for temporal tabular and multi-variate time series, case study with Numerai data science tournament.
CoRR, 2023

PyGenStability: Multiscale community detection with generalized Markov Stability.
CoRR, 2023

Robust machine learning pipelines for trading market-neutral stock portfolios.
CoRR, 2023

Interaction Measures, Partition Lattices and Kernel Tests for High-Order Interactions.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Quantifying the Alignment of Graph and Features in Deep Learning.
IEEE Trans. Neural Networks Learn. Syst., 2022

Finding positively invariant sets and proving exponential stability of limit cycles using Sum-of-Squares decompositions.
CoRR, 2022

Multiscale mobility patterns and the restriction of human mobility under lockdown.
CoRR, 2022

ICE-NODE: Integration of Clinical Embeddings with Neural Ordinary Differential Equations.
Proceedings of the Machine Learning for Healthcare Conference, 2022

Improving information fusion on multimodal clinical data in classification settings.
Proceedings of the 13th International Workshop on Health Text Mining and Information Analysis, 2022

2021
Stationary Distributions of Continuous-Time Markov Chains: A Review of Theory and Truncation-Based Approximations.
SIAM Rev., 2021

Approximations of Countably Infinite Linear Programs over Bounded Measure Spaces.
SIAM J. Optim., 2021

Learning compositional sequences with multiple time scales through a hierarchical network of spiking neurons.
PLoS Comput. Biol., 2021

Geometric graphs from data to aid classification tasks with Graph Convolutional Networks.
Patterns, 2021

HCGA: Highly comparative graph analysis for network phenotyping.
Patterns, 2021

ProteinLens: a web-based application for the analysis of allosteric signalling on atomistic graphs of biomolecules.
Nucleic Acids Res., 2021

Listening to Mental Health Crisis Needs at Scale: Using Natural Language Processing to Understand and Evaluate a Mental Health Crisis Text Messaging Service.
Frontiers Digit. Health, 2021

Network memory in the movement of hospital patients carrying antimicrobial-resistant bacteria.
Appl. Netw. Sci., 2021

Similarity measure for sparse time course data based on Gaussian processes.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

2020
Learning spatiotemporal signals using a recurrent spiking network that discretizes time.
PLoS Comput. Biol., 2020

Data-driven modelling and characterisation of task completion sequences in online courses.
CoRR, 2020

Severability of mesoscale components and local time scales in dynamical networks.
CoRR, 2020

Graph-based data clustering via multiscale community detection.
Appl. Netw. Sci., 2020

Graph-Based Topic Extraction from Vector Embeddings of Text Documents: Application to a Corpus of News Articles.
Proceedings of the Complex Networks & Their Applications IX, 2020

2019
The Exit Time Finite State Projection Scheme: Bounding Exit Distributions and Occupation Measures of Continuous-Time Markov Chains.
SIAM J. Sci. Comput., 2019

Precision identification of high-risk phenotypes and progression pathways in severe malaria without requiring longitudinal data.
npj Digit. Medicine, 2019

Semi-supervised classification on graphs using explicit diffusion dynamics.
CoRR, 2019

Extracting information from free text through unsupervised graph-based clustering: an application to patient incident records.
CoRR, 2019

Graph centrality is a question of scale.
CoRR, 2019

Data-driven unsupervised clustering of online learner behaviour.
CoRR, 2019

From free text to clusters of content in health records: an unsupervised graph partitioning approach.
Appl. Netw. Sci., 2019

2018
Guiding interoperable electronic health records through patient-sharing networks.
npj Digit. Medicine, 2018

Global Network Prediction from Local Node Dynamics.
CoRR, 2018

Content-driven, unsupervised clustering of news articles through multiscale graph partitioning.
CoRR, 2018

From Text to Topics in Healthcare Records: An Unsupervised Graph Partitioning Methodology.
CoRR, 2018

Structured networks and coarse-grained descriptions: a dynamical perspective.
CoRR, 2018

Multiscale dynamical embeddings of complex networks.
CoRR, 2018

Geometric multiscale community detection: Markov stability and vector partitioning.
J. Complex Networks, 2018

2016
Bounding Stationary Averages of Polynomial Diffusions via Semidefinite Programming.
SIAM J. Sci. Comput., 2016

Flow-Based Network Analysis of the Caenorhabditis elegans Connectome.
PLoS Comput. Biol., 2016

Window functions and sigmoidal behaviour of memristive systems.
Int. J. Circuit Theory Appl., 2016

Graph partitions and cluster synchronization in networks of oscillators.
CoRR, 2016

Context-dependent metabolic networks.
CoRR, 2016

2015
Emergence of Slow-Switching Assemblies in Structured Neuronal Networks.
PLoS Comput. Biol., 2015

Great cities look small.
CoRR, 2015

The 'who' and 'what' of #diabetes on Twitter.
CoRR, 2015

Community detection and role identification in directed networks: understanding the Twitter network of the care.data debate.
CoRR, 2015

2014
Random Walks, Markov Processes and the Multiscale Modular Organization of Complex Networks.
IEEE Trans. Netw. Sci. Eng., 2014

Structure of complex networks: Quantifying edge-to-edge relations by failure-induced flow redistribution.
Netw. Sci., 2014

On memristor ideality and reciprocity.
Microelectron. J., 2014

2013
Toggling a Genetic Switch Using Reinforcement Learning
CoRR, 2013

The stability of a graph partition: A dynamics-based framework for community detection.
CoRR, 2013

Communities, roles, and informational organigrams in directed networks: the Twitter network of the UK riots.
CoRR, 2013

Decentralised minimum-time consensus.
Autom., 2013

Ideal memristors as reciprocal elements.
Proceedings of the 20th IEEE International Conference on Electronics, 2013

Finding role communities in directed networks using Role-Based Similarity, Markov Stability and the Relaxed Minimum Spanning Tree.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

On periodic reference tracking using batch-mode reinforcement learning with application to gene regulatory network control.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

2012
Device Properties of Bernoulli Memristors.
Proc. IEEE, 2012

Sensory experience modifies spontaneous state dynamics in a large-scale barrel cortical model.
J. Comput. Neurosci., 2012

Compound stress response in stomatal closure: a mathematical model of ABA and ethylene interaction in guard cells.
BMC Syst. Biol., 2012

2011
Spectral Measure of Structural Robustness in Complex Networks.
IEEE Trans. Syst. Man Cybern. Part A, 2011

Robustness of regular ring lattices based on natural connectivity.
Int. J. Syst. Sci., 2011

Coding of Markov dynamics for multiscale community detection in complex networks
CoRR, 2011

Markov dynamics as a zooming lens for multiscale community detection: non clique-like communities and the field-of-view limit
CoRR, 2011

A global Monte-Carlo method for fitting parameters of differential equation models
CoRR, 2011

Role-similarity based comparison of directed networks
CoRR, 2011

Decentralised minimal-time consensus.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010
Role-based similarity in directed networks
CoRR, 2010

Flow graphs: interweaving dynamics and structure
CoRR, 2010

2009
An analysis of the Map Seeking Circuit and Monte Carlo extensions.
Proceedings of the IEEE International Conference on Acoustics, 2009

2008
Stability of graph communities across time scales.
CoRR, 2008

A Dominated Coupling From The Past algorithm for the stochastic simulation of networks of biochemical reactions.
BMC Syst. Biol., 2008

2007
Noise characteristics of interlocked repressilators.
BMC Syst. Biol., 2007

2006
A biomimetic CMOS synapse.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2006), 2006

2004
On the stability of the Kuramoto model of coupled nonlinear oscillators.
Proceedings of the 2004 American Control Conference, 2004

2002
Finite horizon model reduction and the appearance of dissipation in Hamiltonian systems.
Proceedings of the 41st IEEE Conference on Decision and Control, 2002

A new bound of the 𝓛<sub>2</sub>[0, T]-induced norm and applications to model reduction.
Proceedings of the American Control Conference, 2002


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