Mathieu Serrurier
9 papers · 2015–2025 · 5 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (20) 🐣 Hot Topic Early Bird
🔥
Unstoppable · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(7)
Deep Learning
(6)
Learning Types · Machine Learning
(4)
Application Areas
(3)
Architectures
(3)
Core Methods
(3)
Optimization & Theory · Machine Learning
(3)
Techniques
(3)
Artificial Intelligence
(2)
Mathematics & Optimization
(2)
Core AI
(2)
Learning Types · Deep Learning
(2)
Optimization & Theory · Deep Learning
(2)
Mathematics
(1)
Optimization
(1)
Keywords
adversarial robustness
(3)
certifiable robustness
(2)
lipschitz constraint
(2)
optimal transport
(2)
wasserstein distance
(2)
1-lipschitz neural network
(2)
lipschitz constant
(2)
decision tree
(1)
information gain
(1)
explainable ai
(1)
generalization bound
(1)
loss function
(1)
adversarial attack
(1)
prediction set
(1)
anomaly detection
(1)
confidence interval
(1)
saliency map
(1)
hinge loss
(1)
counterfactual explanation
(1)
gradient clipping
(1)
Papers
An Adaptive Orthogonal Convolution Scheme for Efficient and Flexible CNN Architectures
ICML 2025
Efficient Robust Conformal Prediction via Lipschitz-Bounded Networks
ICML 2025
DP-SGD Without Clipping: The Lipschitz Neural Network Way
ICLR 2024
On the explainable properties of 1-Lipschitz Neural Networks: An Optimal Transport Perspective
NeurIPS 2023
Robust One-Class Classification with Signed Distance Function using 1-Lipschitz Neural Networks
ICML 2023
Pay attention to your loss : understanding misconceptions about Lipschitz neural networks
NeurIPS 2022
Achieving Robustness in Classification Using Optimal Transport With Hinge Regularization
CVPR 2021
Learning Disentangled Representations via Mutual Information Estimation
ECCV 2020
Entropy evaluation based on confidence intervals of frequency estimates : Application to the learning of decision trees
ICML 2015