Stephane Marchand-Maillet
6 papers · 2014–2026 · 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 · Half 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (14) 🐣 Hot Topic Early Bird
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Trend Setter
Venues
Top co-authors
Research topics
Keywords
manifold learning
(2)
statistical manifold
(2)
dimensionality reduction
(2)
domain adaptation
(1)
embedding learning
(1)
named entity recognition
(1)
weak supervision
(1)
granger causality
(1)
natural gradient
(1)
fisher information
(1)
model complexity
(1)
probability distribution
(1)
time series forecasting
(1)
information geometry
(1)
riemannian manifold
(1)
distance metric
(1)
social network
(1)
sparsity constraint
(1)
anchor point
(1)
sparse graph
(1)
Papers
Weakly Supervised Named Entity Recognition for Historical Texts
EACL 2026
Learning Predictive Leading Indicators for Forecasting Time Series Systems with Unknown Clusters of Forecast Tasks
ACML 2017
Space-Time Local Embeddings
NeurIPS 2015
An Information Geometry of Statistical Manifold Learning
ICML 2014
Sparsity on Statistical Simplexes and Diversity in Social Ranking
ACML 2014
Two-Stage Metric Learning
ICML 2014