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Steve OUDOT

6 papers · 2017–2024 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (13) 🐣 Hot Topic Early Bird

Venues

ICML (2) NeurIPS (2) JMLR (1) MIDL (1)

Top co-authors

Mathieu Carrière (4) Marco Cuturi (2) Luis Scoccola (2) David Loiseaux (2) Magnus Bakke Botnan (1) Theo Lacombe (1) Vicky Kalogeiton (1) Leo Milecki (1) Bertrand Michel (1) Julie Mordacq (1)

Research topics

Machine Learning (5) Mathematics & Optimization (5) Core Methods (4) Mathematics (4) Optimization & Theory (3) Optimization (2) Artificial Intelligence (1) Data Science & Analytics (1) Deep Learning (1) Applications (1) Architectures (1) Core AI (1)

Keywords

persistence diagram (2) topological data analysis (2) wasserstein distance (2) statistical convergence (1) optimization (1) gradient descent (1) persistent homology (1) sinkhorn algorithm (1) parameter tuning (1) sliced wasserstein (1) reeb graph (1) stress detection (1) kernel methods (1) mapper algorithm (1) topological descriptor (1) signed barcode (1) anchor modality (1) g-force loss of consciousness (1) masked multimodal transformer (1) physiological changes (1)

Papers

ADAPT: Multimodal Learning for Detecting Physiological Changes under Missing Modalities MIDL 2024 Differentiability and Optimization of Multiparameter Persistent Homology ICML 2024 Stable Vectorization of Multiparameter Persistent Homology using Signed Barcodes as Measures NeurIPS 2023 Large Scale computation of Means and Clusters for Persistence Diagrams using Optimal Transport NeurIPS 2018 Statistical Analysis and Parameter Selection for Mapper JMLR 2018 Sliced Wasserstein Kernel for Persistence Diagrams ICML 2017