Louis Béthune
13 papers · 2022–2025 · 5 conferences · across top CS/AI conferences
Achievements
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🗺️ Taxonomy Completionist (27) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (9) 🌈 Renaissance Researcher (5)
🌍
Conference Polyglot
(5)
💎
Century Club
(13)
⚡
Prolific Year
(5)
Conferences
ICML (4)
NIPS (4)
AISTATS (2)
CVPR (2)
ICLR (1)
Top co-authors
Keywords
adversarial robustness
(2)
concept importance
(2)
neural network
(2)
concept extraction
(2)
1-lipschitz neural network
(2)
optimal transport
(2)
attribution method
(2)
concept-based explanation
(1)
neural network interpretability
(1)
image classification
(1)
explainable ai
(1)
deep learning
(1)
gaussian process
(1)
saliency map
(1)
multimodal learning
(1)
shortcut learning
(1)
loss function
(1)
inductive bia
(1)
foundation model
(1)
generalization bound
(1)
Papers
Scaling Laws for Forgetting during Finetuning with Pretraining Data Injection
ICML 2025
Composition and Control with Distilled Energy Diffusion Models and Sequential Monte Carlo
AISTATS 2025
Deep Sturm–Liouville: From Sample-Based to 1D Regularization with Learnable Orthogonal Basis Functions
ICML 2025
Multimodal Autoregressive Pre-training of Large Vision Encoders
CVPR 2025
Shielded Diffusion: Generating Novel and Diverse Images using Sparse Repellency
ICML 2025
DP-SGD Without Clipping: The Lipschitz Neural Network Way
ICLR 2024
Understanding Visual Feature Reliance through the Lens of Complexity
NIPS 2024
CRAFT: Concept Recursive Activation FacTorization for Explainability
CVPR 2023
On the explainable properties of 1-Lipschitz Neural Networks: An Optimal Transport Perspective
NIPS 2023
A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation
NIPS 2023
Gaussian Processes on Distributions based on Regularized Optimal Transport
AISTATS 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
NIPS 2022