F. Mémoli

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Topological Data Analysis and Applications

Talha Bin Masood, J. W. Milnor, J. A. Patino-Galindo, 2022 .

A spectral notion of Gromov–Wasserstein distance and related methods

F. Mémoli, Facundo Mémoli, F. Mémoli, 2011 .

Gromov–Wasserstein Distances and the Metric Approach to Object Matching

Facundo Mémoli, F. Mémoli, Facundo Mémoli, 2011, Found. Comput. Math..

Hierarchical clustering of asymmetric networks

Santiago Segarra, Alejandro Ribeiro, Facundo Mémoli, 2016, Advances in Data Analysis and Classification.

Excisive Hierarchical Clustering Methods for Network Data pdf

Santiago Segarra, Alejandro Ribeiro, Facundo Mémoli, 2016, ArXiv.

Hierarchical Quasi-Clustering Methods for Asymmetric Networks pdf

Santiago Segarra, Alejandro Ribeiro, Facundo Mémoli, 2014, ICML.

Axiomatic construction of hierarchical clustering in asymmetric networks

Santiago Segarra, Alejandro Ribeiro, Facundo Mémoli, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

A Topological Paradigm for Hippocampal Spatial Map Formation Using Persistent Homology

Yuri Dabaghian, Facundo Mémoli, Gunnar E. Carlsson, 2012, PLoS Comput. Biol..

Eurographics Symposium on Point-based Graphics (2007) Topological Methods for the Analysis of High Dimensional Data Sets and 3d Object Recognition

F. Mémoli, G. Carlsson, R. Pajarola, 2022 .

Gromov‐Hausdorff Stable Signatures for Shapes using Persistence

Leonidas J. Guibas, Steve Oudot, Frédéric Chazal, 2009, Comput. Graph. Forum.

A Theoretical and Computational Framework for Isometry Invariant Recognition of Point Cloud Data

Guillermo Sapiro, Facundo Mémoli, F. Mémoli, 2005, Found. Comput. Math..

Metric Graph Approximations of Geodesic Spaces

Osman Berat Okutan, Qingsong Wang, F. Mémoli, 2018, 1809.05566.

The Gromov-Wasserstein distance between networks and stable network invariants pdf

Samir Chowdhury, Facundo Mémoli, F. Mémoli, 2018, Information and Inference: A Journal of the IMA.

The reflection distance between zigzag persistence modules pdf

Facundo Mémoli, Alexander Elchesen, F. Mémoli, 2018, Journal of Applied and Computational Topology.

The importance of forgetting: Limiting memory improves recovery of topological characteristics from neural data

Bowen Dai, Samir Chowdhury, Facundo Mémoli, 2017, PloS one.

A Distance Between Filtered Spaces Via Tripods pdf

Facundo Mémoli, F. Mémoli, 2017, ArXiv.

J ul 2 02 1 The persistent cup-length invariant

Anastasios Stefanou, Ling Zhou, Marco Contessoto, 2021 .

A T ] 1 1 A ug 2 02 1 Persistent Cup-Length

Anastasios Stefanou, Ling Zhou, Marco Contessoto, 2021 .

Some results about the Tight Span of spheres

Facundo Memoli, Ling Zhou, Sunhyuk Lim, 2021, 2112.12646.

Reeb posets and tree approximations

Facundo M'emoli, Osman Berat Okutan, F. Mémoli, 2018, Discret. Math..

Comparing point clouds

Guillermo Sapiro, Facundo Mémoli, F. Mémoli, 2004, SGP '04.

Computing Generalized Rank Invariant for 2-Parameter Persistence Modules via Zigzag Persistence and Its Applications

F. Mémoli, T. Dey, Woojin Kim, 2021, SoCG.

Generalized persistence diagrams for persistence modules over posets

Woojin Kim, Facundo Memoli, F. Mémoli, 2018, Journal of Applied and Computational Topology.

Some Properties of Gromov–Hausdorff Distances

Facundo Mémoli, F. Mémoli, Facundo Mémoli, 2012, Discret. Comput. Geom..

Fast computation of weighted distance functions and geodesics on implicit hyper-surfaces: 730

F. Mémoli, G. Sapiro, Facundo Mémoli, 2001 .

Classifying Clustering Schemes

Facundo Mémoli, Gunnar E. Carlsson, F. Mémoli, 2010, Foundations of Computational Mathematics.

Elder-rule-staircodes for Augmented Metric Spaces

Chen Cai, Facundo Mémoli, Yusu Wang, 2020, SoCG.

Gromov-Monge quasi-metrics and distance distributions

Facundo M'emoli, Tom Needham, Facundo Mémoli, 2018 .

Metric Representations of Networks: A Uniqueness Result

Santiago Segarra, Alejandro Ribeiro, T. Mitchell Roddenberry, 2019, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).