Robert L. Peach

According to our database, Robert L. Peach authored at least 11 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Implicit Gaussian process representation of vector fields over arbitrary latent manifolds.

Robert L. Peach, Matteo Vinao-Carl, Nir Grossman, Michael David, Emma Mallas, David Sharp, Paresh A. Malhotra, Pierre Vandergheynst, Adam Gosztolai

CoRR, 2023

Interpretable statistical representations of neural population dynamics and geometry.

Adam Gosztolai, Robert L. Peach, Alexis Arnaudon, Mauricio Barahona, Pierre Vandergheynst

CoRR, 2023

PyGenStability: Multiscale community detection with generalized Markov Stability.

Alexis Arnaudon, Dominik J. Schindler, Robert L. Peach, Adam Gosztolai, Maxwell Hodges, Michael T. Schaub, Mauricio Barahona

CoRR, 2023

Interaction Measures, Partition Lattices and Kernel Tests for High-Order Interactions.

Zhaolu Liu, Robert L. Peach, Pedro A. M. Mediano, Mauricio Barahona

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021

HCGA: Highly comparative graph analysis for network phenotyping.

Robert L. Peach, Alexis Arnaudon, Julia A. Schmidt, Henry A. Palasciano, Nathan R. Bernier, Kim E. Jelfs, Sophia N. Yaliraki, Mauricio Barahona

Patterns, 2021

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

Zhaolu Liu, Robert L. Peach, Emma L. Lawrance, Ariele Noble, Mark A. Ungless, Mauricio Barahona

Frontiers Digit. Health, 2021

Network memory in the movement of hospital patients carrying antimicrobial-resistant bacteria.

Ashleigh C. Myall, Robert L. Peach, Andrea Y. Weiße, Siddharth Mookerjee, Frances Davies, Alison H. Holmes, Mauricio Barahona

Appl. Netw. Sci., 2021

2020

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

Robert L. Peach, Sam F. Greenbury, Iain G. Johnston, Sophia N. Yaliraki, David Lefevre, Mauricio Barahona

CoRR, 2020

2019

Semi-supervised classification on graphs using explicit diffusion dynamics.

Robert L. Peach, Alexis Arnaudon, Mauricio Barahona

CoRR, 2019

Graph centrality is a question of scale.

Alexis Arnaudon, Robert L. Peach, Mauricio Barahona

CoRR, 2019

Data-driven unsupervised clustering of online learner behaviour.

Robert L. Peach, Sophia N. Yaliraki, David Lefevre, Mauricio Barahona

CoRR, 2019