Charlotte Laclau
10 papers · 2017–2026 · 9 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (24) π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver
π
Conference Pioneer
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Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(9)
Artificial Intelligence
(7)
Core AI
(6)
Deep Learning
(4)
Application Areas
(4)
Optimization & Theory
(4)
Natural Language Processing
(3)
Applications
(2)
Architectures
(2)
Learning Types Β· Machine Learning
(2)
Learning Types Β· Deep Learning
(2)
Data Science & Analytics
(1)
Interdisciplinary
(1)
Core Methods
(1)
Learning Paradigms
(1)
Keywords
optimal transport
(4)
group fairness
(3)
text classification
(2)
adversarial training
(2)
game theory
(2)
gromov-wasserstein distance
(2)
domain adaptation
(1)
transfer learning
(1)
link prediction
(1)
graph prediction
(1)
variational inference
(1)
loss landscape
(1)
nash equilibrium
(1)
network evolution
(1)
entropy regularization
(1)
deep neural network
(1)
collaborative learning
(1)
dynamic graph
(1)
language model
(1)
algorithmic fairness
(1)
Papers
How Predicted Links Influence Network Evolution: Disentangling Choice and Algorithmic Feedback in Dynamic Graphs
UAI 2026
Fair Text Classification via Transferable Representations
JMLR 2025
From Alexnet to Transformers: Measuring the Non-linearity of Deep Neural Networks with Affine Optimal Transport
CVPR 2025
HISTOIRESMORALES: A French Dataset for Assessing Moral Alignment
NAACL 2025
Any2Graph: Deep End-To-End Supervised Graph Prediction With An Optimal Transport Loss
NeurIPS 2024
Fair Text Classification with Wasserstein Independence
EMNLP 2023
All of the Fairness for Edge Prediction with Optimal Transport
AISTATS 2021
Deep Neural Networks Are Congestion Games: From Loss Landscape to Wardrop Equilibrium and Beyond
AISTATS 2021
On Fair Cost Sharing Games in Machine Learning
AAAI 2019
Co-clustering through Optimal Transport
ICML 2017