Alexis Arnaudon

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 28

Top Topics

Evolution Equation

Laplace Beltrami

Top Venues

J. Nonlinear Sci.

J. Math. Imaging Vis.

Publications

Maria Reva, Christian Rössert, Alexis Arnaudon, Tanguy Damart, Darshan Mandge, Anil Tuncel, Srikanth Ramaswamy, Henry Markram, Werner Van Geit
A universal workflow for creation, validation, and generalization of detailed neuronal models. Patterns 4 (11) (2023)
Alexander Mangulad Christgau, Alexis Arnaudon, Stefan Sommer
Moment Evolution Equations and Moment Matching for Stochastic Image EPDiff. J. Math. Imaging Vis. 65 (4) (2023)
Adam Gosztolai, Robert L. Peach, Alexis Arnaudon, Mauricio Barahona, Pierre Vandergheynst
Interpretable statistical representations of neural population dynamics and geometry. CoRR (2023)
Alexis Arnaudon, Dominik J. Schindler, Robert L. Peach, Adam Gosztolai, Maxwell Hodges, Michael T. Schaub, Mauricio Barahona
PyGenStability: Multiscale community detection with generalized Markov Stability. CoRR (2023)
Alexis Arnaudon, Frank van der Meulen, Moritz Schauer, Stefan Sommer
Diffusion Bridges for Stochastic Hamiltonian Systems and Shape Evolutions. SIAM J. Imaging Sci. 15 (1) (2022)
Alexander Christgau, Alexis Arnaudon, Stefan Sommer
Moment evolution equations and moment matching for stochastic image EPDiff. CoRR (2021)
Robert L. Peach, Alexis Arnaudon, Julia A. Schmidt, Henry A. Palasciano, Nathan R. Bernier, Kim E. Jelfs, Sophia N. Yaliraki, Mauricio Barahona
HCGA: Highly comparative graph analysis for network phenotyping. Patterns 2 (4) (2021)
Adam Gosztolai, Alexis Arnaudon
Unfolding the multiscale structure of networks with dynamical Ollivier-Ricci curvature. CoRR (2021)
Alexis Arnaudon, Frank van der Meulen, Moritz Schauer, Stefan Sommer
Diffusion bridges for stochastic Hamiltonian systems with applications to shape analysis. CoRR (2020)
Line Kühnel, Stefan Sommer, Alexis Arnaudon
Differential geometry and stochastic dynamics with deep learning numerics. Appl. Math. Comput. 356 (2019)
Alexis Arnaudon, Robert L. Peach, Mauricio Barahona
Graph centrality is a question of scale. CoRR (2019)
Alexis Arnaudon, Darryl D. Holm, Stefan Sommer
A Geometric Framework for Stochastic Shape Analysis. Found. Comput. Math. 19 (3) (2019)
Alexis Arnaudon, Alessandro Barp, So Takao
Irreversible Langevin MCMC on Lie Groups. GSI (2019)
Andreas Bock, Alexis Arnaudon, Colin J. Cotter
Selective metamorphosis for growth modelling with applications to landmarks. CoRR (2019)
Robert L. Peach, Alexis Arnaudon, Mauricio Barahona
Semi-supervised classification on graphs using explicit diffusion dynamics. CoRR (2019)
Andreas Bock, Alexis Arnaudon, Colin J. Cotter
Selective Metamorphosis for Growth Modelling with Applications to Landmarks. GSI (2019)
Alexis Arnaudon, Darryl D. Holm, Stefan Sommer
String Methods for Stochastic Image and Shape Matching. J. Math. Imaging Vis. 60 (6) (2018)
Line Kühnel, Alexis Arnaudon, Tom Fletcher, Stefan Sommer
Stochastic Image Deformation in Frequency Domain and Parameter Estimation using Moment Evolutions. CoRR (2018)
Alexis Arnaudon, Alex L. De Castro, Darryl D. Holm
Noise and Dissipation on Coadjoint Orbits. J. Nonlinear Sci. 28 (1) (2018)
Alexis Arnaudon, Darryl D. Holm, Stefan Sommer
String Methods for Stochastic Image and Shape Matching. CoRR (2018)
Alexis Arnaudon, Darryl D. Holm, Akshay Pai, Stefan Sommer
A Stochastic Large Deformation Model for Computational Anatomy. IPMI (2017)
Line Kühnel, Alexis Arnaudon, Stefan Sommer
Differential geometry and stochastic dynamics with deep learning numerics. CoRR (2017)
Stefan Sommer, Alexis Arnaudon, Line Kühnel, Sarang C. Joshi
Bridge Simulation and Metric Estimation on Landmark Manifolds. GRAIL/MFCA/MICGen@MICCAI (2017)
Alexis Arnaudon, Darryl D. Holm, Stefan Sommer
A Geometric Framework for Stochastic Shape Analysis. CoRR (2017)
Alexis Arnaudon, Darryl D. Holm, Stefan Sommer
Stochastic metamorphosis with template uncertainties. CoRR (2017)
Stefan Sommer, Alexis Arnaudon, Line Kühnel, Sarang C. Joshi
Bridge Simulation and Metric Estimation on Landmark Manifolds. CoRR (2017)
Alexis Arnaudon, Darryl D. Holm, Akshay Pai, Stefan Sommer
A Stochastic Large Deformation Model for Computational Anatomy. CoRR (2016)
Alexis Arnaudon
On a Lagrangian Reduction and a Deformation of Completely Integrable Systems. J. Nonlinear Sci. 26 (5) (2016)