Marc Glisse

4 papers · 2014–2021 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (14) 🐣 Hot Topic Early Bird

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Venues

ICML (2) IJCAI (1) JMLR (1)

Top co-authors

Frederic Chazal (4) Catherine Labruère (2) Yuhei Umeda (2) Bertrand Michel (2) Yuichi Ike (2) Mathieu Carrière (2) Hariprasad Kannan (1) Theo Lacombe (1)

Research topics

Machine Learning (4) Mathematics & Optimization (3) Mathematics (3) Optimization & Theory · Machine Learning (3) Artificial Intelligence (1) Deep Learning (1) Core AI (1) Core Methods (1) Learning Types (1) Optimization (1) Optimization & Theory · Deep Learning (1) Probability (1) Statistics (1)

Keywords

topological data analysis (3) persistent homology (3) convergence rate (2) persistence diagram (2) persistence homology (1) gromov-hausdorff distance (1) persistence map (1) stochastic subgradient (1) real analytic geometry (1) neural network (1) topological uncertainty (1) activation graph (1) uncertainty quantification (1) stochastic subgradient method (1) gradient descent (1) support estimation (1) out-of-distribution detection (1)

Papers

Optimizing persistent homology based functions ICML 2021 Topological Uncertainty: Monitoring Trained Neural Networks through Persistence of Activation Graphs IJCAI 2021 Convergence Rates for Persistence Diagram Estimation in Topological Data Analysis JMLR 2015 Convergence rates for persistence diagram estimation in Topological Data Analysis ICML 2014