Frederic Chazal
13 papers · 2014–2024 · 6 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (6) π Academic Marathon (10) π£ Hot Topic Early Bird
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(5)
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Taxonomy Completionist
(26)
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Conference Polyglot
(6)
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Keyword Champion
(5)
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Topic Evolution
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Century Club
(13)
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Trend Setter
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Keyword Collector
(64)
Conferences
AISTATS (3)
ICML (3)
JMLR (3)
NIPS (2)
CVPR (1)
IJCAI (1)
Top co-authors
Research topics
Keywords
topological data analysis
(9)
persistent homology
(7)
persistence diagram
(5)
convergence rate
(2)
graph laplacian
(1)
anomaly detection
(1)
representation learning
(1)
shape analysis
(1)
manifold learning
(1)
uncertainty quantification
(1)
optimal transport
(1)
subsampling methods
(1)
robust statistics
(1)
point cloud
(1)
computational complexity
(1)
graph classification
(1)
deep learning
(1)
stability analysis
(1)
oracle inequality
(1)
object recognition
(1)
Papers
Topological Analysis for Detecting Anomalies in dependent sequences: application to Time Series
JMLR 2024
Topological Uncertainty: Monitoring Trained Neural Networks through Persistence of Activation Graphs
IJCAI 2021
ATOL: Measure Vectorization for Automatic Topologically-Oriented Learning
AISTATS 2021
Optimizing persistent homology based functions
ICML 2021
PLLay: Efficient Topological Layer based on Persistent Landscapes
NIPS 2020
PersLay: A Neural Network Layer for Persistence Diagrams and New Graph Topological Signatures
AISTATS 2020
Quantitative stability of optimal transport maps and linearization of the 2-Wasserstein space
AISTATS 2020
Robust Topological Inference: Distance To a Measure and Kernel Distance
JMLR 2018
Data driven estimation of Laplace-Beltrami operator
NIPS 2016
Subsampling Methods for Persistent Homology
ICML 2015
Convergence Rates for Persistence Diagram Estimation in Topological Data Analysis
JMLR 2015
Convergence rates for persistence diagram estimation in Topological Data Analysis
ICML 2014
Persistence-based Structural Recognition
CVPR 2014