Thibaut Boissin
9 papers · 2021–2025 · 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
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(19)
🔥
Unstoppable · Bronze
Venues
Top co-authors
Research topics
Deep Learning
(8)
Machine Learning
(7)
Artificial Intelligence
(4)
Core AI · Artificial Intelligence
(4)
Learning Types · Deep Learning
(4)
Optimization & Theory · Machine Learning
(4)
Application Areas
(3)
Architectures
(3)
Learning Types · Machine Learning
(3)
Optimization & Theory · Deep Learning
(3)
Techniques
(3)
Core Methods
(2)
Computer Vision
(1)
Mathematics & Optimization
(1)
Core AI · Computer Vision
(1)
Keywords
adversarial robustness
(3)
explainable ai
(2)
certifiable robustness
(2)
neural network interpretability
(2)
lipschitz constant
(2)
optimal transport
(2)
1-lipschitz neural network
(2)
lipschitz constraint
(2)
neural network
(2)
wasserstein distance
(2)
anomaly detection
(1)
adversarial attack
(1)
generalization bound
(1)
loss function
(1)
saliency map
(1)
concept-based explanation
(1)
image classification
(1)
concept extraction
(1)
computational efficiency
(1)
hinge loss
(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
CRAFT: Concept Recursive Activation FacTorization for Explainability
CVPR 2023
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
Unlocking Feature Visualization for Deep Network with MAgnitude Constrained Optimization
NeurIPS 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