Claire Donnat

4 papers · 2020–2026 · 3 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 · Bronze 🗺️ Taxonomy Completionist (11) 👥 Mega-Team · Squad

Venues

JMLR (2) AISTATS (1) UAI (1)

Top co-authors

Christian Shewmake (1) Alice Le Brigant (1) Johannes Schmidt-Hieber (1) Xavier Pennec (1) Huy Tran (1) Yating Liu (1) Olivier Peltre (1) Yann Thanwerdas (1) Johan Mathe (1) Nina Miolane (1)

Research topics

Machine Learning (4) Core Methods (4) Deep Learning (2) Architectures (2) Optimization & Theory · Machine Learning (2) Mathematics & Optimization (1) Natural Language Processing (1) Applications (1) Mathematics (1) Optimization & Theory · Deep Learning (1)

Keywords

manifold learning (1) statistical learning theory (1) topic modeling (1) sparse estimation (1) dimension reduction (1) riemannian geometry (1) spectral decomposition (1) bias-variance tradeoff (1) node feature (1) regression task (1) neighborhood aggregation (1) adaptive thresholding (1) graph convolutional network (1) python package (1) parallel transport (1) graph neural network (1) exponential map (1) spatial convolution (1) aggregation operation (1) embedding space geometry (1)

Papers

Sparse Topic Modeling via Spectral Decomposition and Thresholding JMLR 2026 Understanding the Effect of GCN Convolutions in Regression Tasks AISTATS 2025 Studying the Effect of GNN Spatial Convolutions On The Embedding Space’s Geometry UAI 2023 Geomstats: A Python Package for Riemannian Geometry in Machine Learning JMLR 2020