Blaise Delattre
I am a PhD candidate at MILES,
LAMSADE, Université Paris-Dauphine,
and Foxstream, under the supervision of
Prof. Alexandre Allauzen
and Dr. Quentin Barthélemy.
I work on Lipschitz networks, randomized smoothing, and robust deep learning.
My PhD focuses on stability in deep learning, with applications in AI safety.
⬇️ Download my resumé
News
- Currently looking for a postdoctoral position in fields related to probabilistic machine learning, uncertainty quantification, or deep learning stability.
- I will be in Singapour and Phuket for ICLR and AISTATS if you want to chat !
- AISTATS 2025 - "Bridging the Theoretical Gap in Randomized Smoothing" accepted.
- ICLR 2025 (oral) - "Accelerated Training through Iterative Gradient Propagation Along the Residual
Path" accepted.
Research Interests
- Certified Robustness
- Frugal AI
- Uncertainty Quantification
Publications & Preprints
-
Conditional Distribution Quantization in Machine Learning
Blaise Delattre, S Delattre, A Vérine, A Allauzen
arXiv preprint arXiv:2502.07151, 2025
-
Accelerated Training through Iterative Gradient Propagation Along the Residual Path
E Fagnou, P Caillon, Blaise Delattre, A Allauzen
International Conference on Learning Representations (ICLR), 2025
-
Bridging the Theoretical Gap in Randomized Smoothing
Blaise Delattre, P Caillon, E Fagnou, Q Barthélemy, A Allauzen
The 28th International Conference on Artificial Intelligence and Statistics (AISTATS), 2025
-
Chain and Causal Attention for Efficient Entity Tracking
E Fagnou, P Caillon, Blaise Delattre, A Allauzen
Association for Computational Linguistics (ACL), 2024
-
Spectral Norm of Convolutional Layers with Circular and Zero Paddings
Blaise Delattre, Q Barthélemy, A Allauzen
arXiv preprint arXiv:2402.00240, 2024
-
The Lipschitz-Variance-Margin Tradeoff for Enhanced Randomized Smoothing
Blaise Delattre, A Araujo, Q Barthélemy, A Allauzen
International Conference on Learning Representations (ICLR), 2023
-
Efficient Bound of Lipschitz Constant for Convolutional Layers by Gram Iteration
Blaise Delattre, Q Barthélemy, A Araujo, A Allauzen
International Conference on Machine Learning (ICML), 2023
-
A Unified Algebraic Perspective on Lipschitz Neural Networks
A Araujo, A Havens, Blaise Delattre, A Allauzen, B Hu
International Conference on Learning Representations (ICLR), 2023
-
A Dynamical System Perspective for Lipschitz Neural Networks
L Meunier, Blaise Delattre, A Araujo, A Allauzen
International Conference on Machine Learning (ICML), 2022
Contact Information