Louis Béthune
13 papers · 2022–2025 · 5 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Silver 🗺️ Taxonomy Completionist (35) 💎 Century Club · Bronze 📈 Trend Setter
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adversarial robustness
(2)
concept importance
(2)
neural network
(2)
concept extraction
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optimal transport
(2)
attribution method
(2)
1-lipschitz neural network
(2)
stochastic gradient descent
(1)
shortcut learning
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representation learning
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model distillation
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multimodal learning
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explainable ai
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neural network interpretability
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anomaly detection
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contrastive learning
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saliency map
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sequential monte carlo
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forgetting
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concept-based explanation
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Papers
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
Scaling Laws for Forgetting during Finetuning with Pretraining Data Injection
ICML 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
NeurIPS 2024
A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation
NeurIPS 2023
CRAFT: Concept Recursive Activation FacTorization for Explainability
CVPR 2023
Gaussian Processes on Distributions based on Regularized Optimal Transport
AISTATS 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
Pay attention to your loss : understanding misconceptions about Lipschitz neural networks
NeurIPS 2022