Stephane Marchand-Maillet
6 papers · 2014–2026 · 4 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (3) π Cross-Pollinator (10)
π
Academic Marathon
(12)
πΊοΈ
Taxonomy Completionist
(15)
π
Trend Setter
Conferences
ACML (2)
ICML (2)
EACL (1)
NIPS (1)
Top co-authors
Keywords
statistical manifold
(2)
manifold learning
(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
NIPS 2015
Sparsity on Statistical Simplexes and Diversity in Social Ranking
ACML 2014
An Information Geometry of Statistical Manifold Learning
ICML 2014
Two-Stage Metric Learning
ICML 2014