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Alexis Arnaudon
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2020 – today
- 2023
- [j9]Alexander Mangulad Christgau, Alexis Arnaudon, Stefan Sommer:
Moment Evolution Equations and Moment Matching for Stochastic Image EPDiff. J. Math. Imaging Vis. 65(4): 563-576 (2023) - [j8]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): 100855 (2023) - [i15]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 abs/2303.05385 (2023) - [i14]Adam Gosztolai, Robert L. Peach, Alexis Arnaudon, Mauricio Barahona, Pierre Vandergheynst:
Interpretable statistical representations of neural population dynamics and geometry. CoRR abs/2304.03376 (2023) - 2022
- [j7]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): 293-323 (2022) - 2021
- [j6]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): 100227 (2021) - [i13]Adam Gosztolai, Alexis Arnaudon:
Unfolding the multiscale structure of networks with dynamical Ollivier-Ricci curvature. CoRR abs/2106.05847 (2021) - [i12]Alexander Mangulad Christgau, Alexis Arnaudon, Stefan Sommer:
Moment evolution equations and moment matching for stochastic image EPDiff. CoRR abs/2110.03337 (2021) - 2020
- [i11]Alexis Arnaudon, Frank van der Meulen, Moritz Schauer, Stefan Sommer:
Diffusion bridges for stochastic Hamiltonian systems with applications to shape analysis. CoRR abs/2002.00885 (2020)
2010 – 2019
- 2019
- [j5]Line Kühnel, Stefan Sommer, Alexis Arnaudon:
Differential geometry and stochastic dynamics with deep learning numerics. Appl. Math. Comput. 356: 411-437 (2019) - [j4]Alexis Arnaudon, Darryl D. Holm, Stefan Sommer:
A Geometric Framework for Stochastic Shape Analysis. Found. Comput. Math. 19(3): 653-701 (2019) - [c4]Andreas Bock, Alexis Arnaudon, Colin J. Cotter:
Selective Metamorphosis for Growth Modelling with Applications to Landmarks. GSI 2019: 39-48 - [c3]Alexis Arnaudon, Alessandro Barp, So Takao:
Irreversible Langevin MCMC on Lie Groups. GSI 2019: 171-179 - [i10]Andreas Bock, Alexis Arnaudon, Colin J. Cotter:
Selective metamorphosis for growth modelling with applications to landmarks. CoRR abs/1901.02826 (2019) - [i9]Alexis Arnaudon, Robert L. Peach, Mauricio Barahona:
Graph centrality is a question of scale. CoRR abs/1907.08624 (2019) - [i8]Robert L. Peach, Alexis Arnaudon, Mauricio Barahona:
Semi-supervised classification on graphs using explicit diffusion dynamics. CoRR abs/1909.11117 (2019) - 2018
- [j3]Alexis Arnaudon, Darryl D. Holm, Stefan Sommer:
String Methods for Stochastic Image and Shape Matching. J. Math. Imaging Vis. 60(6): 953-967 (2018) - [j2]Alexis Arnaudon, Alex L. De Castro, Darryl D. Holm:
Noise and Dissipation on Coadjoint Orbits. J. Nonlinear Sci. 28(1): 91-145 (2018) - [i7]Alexis Arnaudon, Darryl D. Holm, Stefan Sommer:
String Methods for Stochastic Image and Shape Matching. CoRR abs/1805.06038 (2018) - [i6]Line Kühnel, Alexis Arnaudon, Tom Fletcher, Stefan Sommer:
Stochastic Image Deformation in Frequency Domain and Parameter Estimation using Moment Evolutions. CoRR abs/1812.05537 (2018) - 2017
- [c2]Alexis Arnaudon, Darryl D. Holm, Akshay Pai, Stefan Sommer:
A Stochastic Large Deformation Model for Computational Anatomy. IPMI 2017: 571-582 - [c1]Stefan Sommer, Alexis Arnaudon, Line Kühnel, Sarang C. Joshi:
Bridge Simulation and Metric Estimation on Landmark Manifolds. GRAIL/MFCA/MICGen@MICCAI 2017: 79-91 - [i5]Alexis Arnaudon, Darryl D. Holm, Stefan Sommer:
A Geometric Framework for Stochastic Shape Analysis. CoRR abs/1703.09971 (2017) - [i4]Stefan Sommer, Alexis Arnaudon, Line Kühnel, Sarang C. Joshi:
Bridge Simulation and Metric Estimation on Landmark Manifolds. CoRR abs/1705.10943 (2017) - [i3]Alexis Arnaudon, Darryl D. Holm, Stefan Sommer:
Stochastic metamorphosis with template uncertainties. CoRR abs/1711.07231 (2017) - [i2]Line Kühnel, Alexis Arnaudon, Stefan Sommer:
Differential geometry and stochastic dynamics with deep learning numerics. CoRR abs/1712.08364 (2017) - 2016
- [j1]Alexis Arnaudon:
On a Lagrangian Reduction and a Deformation of Completely Integrable Systems. J. Nonlinear Sci. 26(5): 1133-1160 (2016) - [i1]Alexis Arnaudon, Darryl D. Holm, Akshay Pai, Stefan Sommer:
A Stochastic Large Deformation Model for Computational Anatomy. CoRR abs/1612.05323 (2016)
Coauthor Index
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