Alexis Arnaudon

According to our database, Alexis Arnaudon authored at least 22 papers between 2016 and 2024.

Collaborative distances:

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

2024

Algorithm 1044: PyGenStability, a Multiscale Community Detection Framework with Generalized Markov Stability.

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

ACM Trans. Math. Softw., June, 2024

2023

A universal workflow for creation, validation, and generalization of detailed neuronal models.

Maria Reva, Christian Rössert, Alexis Arnaudon, Tanguy Damart, Darshan Mandge, Anil Tuncel, Srikanth Ramaswamy, Henry Markram, Werner Van Geit

Patterns, November, 2023

Moment Evolution Equations and Moment Matching for Stochastic Image EPDiff.

Alexander Mangulad Christgau, Alexis Arnaudon, Stefan Sommer

J. Math. Imaging Vis., August, 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

2022

Diffusion Bridges for Stochastic Hamiltonian Systems and Shape Evolutions.

Alexis Arnaudon, Frank van der Meulen, Moritz Schauer, Stefan Sommer

SIAM J. Imaging Sci., 2022

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

Unfolding the multiscale structure of networks with dynamical Ollivier-Ricci curvature.

Adam Gosztolai, Alexis Arnaudon

CoRR, 2021

2020

Diffusion bridges for stochastic Hamiltonian systems with applications to shape analysis.

Alexis Arnaudon, Frank van der Meulen, Moritz Schauer, Stefan Sommer

CoRR, 2020

2019

A Geometric Framework for Stochastic Shape Analysis.

Alexis Arnaudon, Darryl D. Holm, Stefan Sommer

Found. Comput. Math., 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

Differential geometry and stochastic dynamics with deep learning numerics.

Line Kühnel, Stefan Sommer, Alexis Arnaudon

Appl. Math. Comput., 2019

Selective Metamorphosis for Growth Modelling with Applications to Landmarks.

Andreas Bock, Alexis Arnaudon, Colin J. Cotter

Proceedings of the Geometric Science of Information - 4th International Conference, 2019

Irreversible Langevin MCMC on Lie Groups.

Alexis Arnaudon, Alessandro Barp, So Takao

Proceedings of the Geometric Science of Information - 4th International Conference, 2019

2018

Noise and Dissipation on Coadjoint Orbits.

Alexis Arnaudon, Alex L. De Castro, Darryl D. Holm

J. Nonlinear Sci., 2018

String Methods for Stochastic Image and Shape Matching.

Alexis Arnaudon, Darryl D. Holm, Stefan Sommer

J. Math. Imaging Vis., 2018

Stochastic Image Deformation in Frequency Domain and Parameter Estimation using Moment Evolutions.

Line Kühnel, Alexis Arnaudon, Tom Fletcher, Stefan Sommer

CoRR, 2018

2017

Stochastic metamorphosis with template uncertainties.

Alexis Arnaudon, Darryl D. Holm, Stefan Sommer

CoRR, 2017

Bridge Simulation and Metric Estimation on Landmark Manifolds.

Stefan Sommer, Alexis Arnaudon, Line Kühnel, Sarang C. Joshi

Proceedings of the Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics, 2017

A Stochastic Large Deformation Model for Computational Anatomy.

Alexis Arnaudon, Darryl D. Holm, Akshay Pai, Stefan Sommer

Proceedings of the Information Processing in Medical Imaging, 2017

2016

On a Lagrangian Reduction and a Deformation of Completely Integrable Systems.

Alexis Arnaudon

J. Nonlinear Sci., 2016