Frédéric Chazal
Orcid: 0000-0002-3719-2187
According to our database1,
Frédéric Chazal
authored at least 83 papers
between 2003 and 2024.
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Bibliography
2024
Adv. Comput. Math., August, 2024
Trans. Mach. Learn. Res., 2024
MAGDiff: Covariate Data Set Shift Detection via Activation Graphs of Neural Networks.
Trans. Mach. Learn. Res., 2024
2023
MAGDiff: Covariate Data Set Shift Detection via Activation Graphs of Deep Neural Networks.
CoRR, 2023
2022
RipsNet: a general architecture for fast and robust estimation of the persistent homology of point clouds.
Proceedings of the Topological, 2022
2021
An Introduction to Topological Data Analysis: Fundamental and Practical Aspects for Data Scientists.
Frontiers Artif. Intell., 2021
Identifying homogeneous subgroups of patients and important features: a topological machine learning approach.
BMC Bioinform., 2021
Topological Uncertainty: Monitoring Trained Neural Networks through Persistence of Activation Graphs.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
A note on stochastic subgradient descent for persistence-based functionals: convergence and practical aspects.
CoRR, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 36th International Symposium on Computational Geometry, 2020
Quantitative stability of optimal transport maps and linearization of the 2-Wasserstein space.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
PersLay: A Neural Network Layer for Persistence Diagrams and New Graph Topological Signatures.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
Proceedings of the Advances in Artificial Intelligence, 2020
2019
Robust Stride Detector from Ankle-Mounted Inertial Sensors for Pedestrian Navigation and Activity Recognition with Machine Learning Approaches.
Sensors, 2019
J. Comput. Geom., 2019
A General Neural Network Architecture for Persistence Diagrams and Graph Classification.
CoRR, 2019
Proceedings of the 2019 International Conference on Indoor Positioning and Indoor Navigation, 2019
Proceedings of the 35th International Symposium on Computational Geometry, 2019
2018
Comput. Graph. Forum, 2018
2017
J. Mach. Learn. Res., 2017
Stride detection for pedestrian trajectory reconstruction: A machine learning approach based on geometric patterns.
Proceedings of the 2017 International Conference on Indoor Positioning and Indoor Navigation, 2017
2016
Proceedings of the SIGGRAPH ASIA 2016, Macao, December 5-8, 2016 - Courses, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the Computational Topology in Image Context - 6th International Workshop, 2016
Springer Briefs in Mathematics, Springer, ISBN: 978-3-319-42543-6, 2016
2015
ACM Trans. Graph., 2015
J. Comput. Geom., 2015
J. Mach. Learn. Res., 2015
Discret. Comput. Geom., 2015
Proceedings of the 32nd International Conference on Machine Learning, 2015
Proceedings of the 31st International Symposium on Computational Geometry, 2015
2014
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014
Proceedings of the 30th Annual Symposium on Computational Geometry, 2014
2013
ACM Trans. Graph., 2013
CoRR, 2013
Proceedings of the Geometric Science of Information - First International Conference, 2013
Proceedings of the Geometric Science of Information - First International Conference, 2013
2012
2011
Proceedings of the 19th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2011
2010
Int. J. Comput. Geom. Appl., 2010
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010
2009
Comput. Graph. Forum, 2009
Comput. Graph. Forum, 2009
Proceedings of the Twentieth Annual ACM-SIAM Symposium on Discrete Algorithms, 2009
Proceedings of the 25th ACM Symposium on Computational Geometry, 2009
2008
Smooth manifold reconstruction from noisy and non-uniform approximation with guarantees.
Comput. Geom., 2008
Proceedings of the 24th ACM Symposium on Computational Geometry, 2008
2007
Stability and Computation of Topological Invariants of Solids in \Bbb <i>R</i><sup><i>n</i></sup>.
Discret. Comput. Geom., 2007
Proceedings of the 2007 ACM Symposium on Solid and Physical Modeling, 2007
2006
Proceedings of the 22nd ACM Symposium on Computational Geometry, 2006
2005
Proceedings of the Tenth ACM Symposium on Solid and Physical Modeling 2005, 2005
Weak feature size and persistent homology: computing homology of solids in R<sup>n</sup> from noisy data samples.
Proceedings of the 21st ACM Symposium on Computational Geometry, 2005
2004
Statistical properties of general Markov dynamical sources: applications to information theory.
Discret. Math. Theor. Comput. Sci., 2004
Erratum to 'Dynamical Sources in Information Theory: Fundamental Intervals and Word Prefixes'.
Algorithmica, 2004
Proceedings of the Ninth ACM Symposium on Solid Modeling and Applications, 2004
2003
Molecular shape analysis based upon the morse-smale complex and the connolly function.
Proceedings of the 19th ACM Symposium on Computational Geometry, 2003