Blaise Delattre

According to our database, Blaise Delattre authored at least 10 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Conditional Distribution Quantization in Machine Learning.

Blaise Delattre, Sylvain Delattre, Alexandre Verine, Alexandre Allauzen

CoRR, February, 2025

Accelerated training through iterative gradient propagation along the residual path.

Erwan Fagnou, Paul Caillon, Blaise Delattre, Alexandre Allauzen

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Bridging the Theoretical Gap in Randomized Smoothing.

Blaise Delattre, Paul Caillon, Quentin Barthélemy, Erwan Fagnou, Alexandre Allauzen

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Spectral Norm of Convolutional Layers with Circular and Zero Paddings.

Blaise Delattre, Quentin Barthélemy, Alexandre Allauzen

CoRR, 2024

The Lipschitz-Variance-Margin Tradeoff for Enhanced Randomized Smoothing.

Blaise Delattre, Alexandre Araujo, Quentin Barthélemy, Alexandre Allauzen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Chain and Causal Attention for Efficient Entity Tracking.

Erwan Fagnou, Paul Caillon, Blaise Delattre, Alexandre Allauzen

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Efficient Bound of Lipschitz Constant for Convolutional Layers by Gram Iteration.

Blaise Delattre, Quentin Barthélemy, Alexandre Araujo, Alexandre Allauzen

Proceedings of the International Conference on Machine Learning, 2023

A Unified Algebraic Perspective on Lipschitz Neural Networks.

Alexandre Araujo, Aaron J. Havens, Blaise Delattre, Alexandre Allauzen, Bin Hu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

A Dynamical System Perspective for Lipschitz Neural Networks.

Laurent Meunier, Blaise Delattre, Alexandre Araujo, Alexandre Allauzen

Proceedings of the International Conference on Machine Learning, 2022

2021

Scalable Lipschitz Residual Networks with Convex Potential Flows.

Laurent Meunier, Blaise Delattre, Alexandre Araujo, Alexandre Allauzen

CoRR, 2021