Alexis Arnaudon

29 papers Journal 25Unranked 4

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Algorithm 1044: PyGenStability, a Multiscale Community Detection Framework with Generalized Markov Stability. ACM Trans. Math. Softw. Alexis Arnaudon, Dominik J. Schindler, Robert L. Peach, Adam Gosztolai, Maxwell Hodges, Michael T. Schaub, Mauricio Barahona
2023	J	`jnl`	A universal workflow for creation, validation, and generalization of detailed neuronal models. Patterns Maria Reva, Christian Rössert, Alexis Arnaudon, Tanguy Damart, Darshan Mandge, Anil Tuncel, Srikanth Ramaswamy, Henry Markram, Werner Van Geit
2023	J	`jnl`	Interpretable statistical representations of neural population dynamics and geometry. CoRR Adam Gosztolai, Robert L. Peach, Alexis Arnaudon, Mauricio Barahona, Pierre Vandergheynst
2023	J	`jnl`	Moment Evolution Equations and Moment Matching for Stochastic Image EPDiff. J. Math. Imaging Vis. Alexander Mangulad Christgau, Alexis Arnaudon, Stefan Sommer
2023	J	`jnl`	PyGenStability: Multiscale community detection with generalized Markov Stability. CoRR Alexis Arnaudon, Dominik J. Schindler, Robert L. Peach, Adam Gosztolai, Maxwell Hodges, Michael T. Schaub, Mauricio Barahona
2022	J	`jnl`	Diffusion Bridges for Stochastic Hamiltonian Systems and Shape Evolutions. SIAM J. Imaging Sci. Alexis Arnaudon, Frank van der Meulen, Moritz Schauer, Stefan Sommer
2021	J	`jnl`	HCGA: Highly comparative graph analysis for network phenotyping. Patterns Robert L. Peach, Alexis Arnaudon, Julia A. Schmidt, Henry A. Palasciano, Nathan R. Bernier, Kim E. Jelfs, Sophia N. Yaliraki, Mauricio Barahona
2021	J	`jnl`	Moment evolution equations and moment matching for stochastic image EPDiff. CoRR Alexander Mangulad Christgau, Alexis Arnaudon, Stefan Sommer
2021	J	`jnl`	Unfolding the multiscale structure of networks with dynamical Ollivier-Ricci curvature. CoRR Adam Gosztolai, Alexis Arnaudon
2020	J	`jnl`	Diffusion bridges for stochastic Hamiltonian systems with applications to shape analysis. CoRR Alexis Arnaudon, Frank van der Meulen, Moritz Schauer, Stefan Sommer
2019	J	`jnl`	A Geometric Framework for Stochastic Shape Analysis. Found. Comput. Math. Alexis Arnaudon, Darryl D. Holm, Stefan Sommer
2019	J	`jnl`	Differential geometry and stochastic dynamics with deep learning numerics. Appl. Math. Comput. Line Kühnel, Stefan Sommer, Alexis Arnaudon
2019	J	`jnl`	Graph centrality is a question of scale. CoRR Alexis Arnaudon, Robert L. Peach, Mauricio Barahona
2019	—	`conf`	Irreversible Langevin MCMC on Lie Groups. GSI Alexis Arnaudon, Alessandro Barp, So Takao
2019	—	`conf`	Selective Metamorphosis for Growth Modelling with Applications to Landmarks. GSI Andreas A. Bock, Alexis Arnaudon, Colin J. Cotter
2019	J	`jnl`	Selective metamorphosis for growth modelling with applications to landmarks. CoRR Andreas A. Bock, Alexis Arnaudon, Colin J. Cotter
2019	J	`jnl`	Semi-supervised classification on graphs using explicit diffusion dynamics. CoRR Robert L. Peach, Alexis Arnaudon, Mauricio Barahona
2018	J	`jnl`	Noise and Dissipation on Coadjoint Orbits. J. Nonlinear Sci. Alexis Arnaudon, Alex L. De Castro, Darryl D. Holm
2018	J	`jnl`	Stochastic Image Deformation in Frequency Domain and Parameter Estimation using Moment Evolutions. CoRR Line Kühnel, Alexis Arnaudon, Tom Fletcher, Stefan Sommer
2018	J	`jnl`	String Methods for Stochastic Image and Shape Matching. CoRR Alexis Arnaudon, Darryl D. Holm, Stefan Sommer
2018	J	`jnl`	String Methods for Stochastic Image and Shape Matching. J. Math. Imaging Vis. Alexis Arnaudon, Darryl D. Holm, Stefan Sommer
2017	J	`jnl`	A Geometric Framework for Stochastic Shape Analysis. CoRR Alexis Arnaudon, Darryl D. Holm, Stefan Sommer
2017	—	`conf`	A Stochastic Large Deformation Model for Computational Anatomy. IPMI Alexis Arnaudon, Darryl D. Holm, Akshay Pai, Stefan Sommer
2017	—	`conf`	Bridge Simulation and Metric Estimation on Landmark Manifolds. GRAIL/MFCA/MICGen@MICCAI Stefan Sommer, Alexis Arnaudon, Line Kühnel, Sarang C. Joshi
2017	J	`jnl`	Bridge Simulation and Metric Estimation on Landmark Manifolds. CoRR Stefan Sommer, Alexis Arnaudon, Line Kühnel, Sarang C. Joshi
2017	J	`jnl`	Differential geometry and stochastic dynamics with deep learning numerics. CoRR Line Kühnel, Alexis Arnaudon, Stefan Sommer
2017	J	`jnl`	Stochastic metamorphosis with template uncertainties. CoRR Alexis Arnaudon, Darryl D. Holm, Stefan Sommer
2016	J	`jnl`	A Stochastic Large Deformation Model for Computational Anatomy. CoRR Alexis Arnaudon, Darryl D. Holm, Akshay Pai, Stefan Sommer
2016	J	`jnl`	On a Lagrangian Reduction and a Deformation of Completely Integrable Systems. J. Nonlinear Sci. Alexis Arnaudon