Franck Mamalet
8 papers · 2021–2025 · 5 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 · Silver
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(18)
🔥
Unstoppable · Bronze
Venues
Top co-authors
Research topics
Deep Learning
(7)
Machine Learning
(6)
Architectures
(5)
Optimization & Theory · Machine Learning
(4)
Application Areas
(3)
Learning Types · Machine Learning
(3)
Techniques
(3)
Artificial Intelligence
(2)
Core AI
(2)
Learning Types · Deep Learning
(2)
Optimization & Theory · Deep Learning
(2)
Mathematics & Optimization
(1)
Core Methods
(1)
Optimization
(1)
Keywords
lipschitz constant
(2)
certifiable robustness
(2)
wasserstein distance
(2)
adversarial robustness
(2)
optimal transport
(2)
computational efficiency
(1)
explainable ai
(1)
differential privacy
(1)
recurrent neural network
(1)
private training
(1)
gradient flow
(1)
loss function
(1)
prediction set
(1)
gradient clipping
(1)
generalization bound
(1)
binary weight
(1)
counterfactual explanation
(1)
hinge loss
(1)
adversarial attack
(1)
saliency map
(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
HADAMRNN: BINARY AND SPARSE TERNARY ORTHOGONAL RNNS
ICLR 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
Existence, Stability and Scalability of Orthogonal Convolutional Neural Networks
JMLR 2022
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