Blaise Delattre

20 papers A* 6A 2Journal 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Accelerated Training through Iterative Gradient Propagation Along the Residual Path. CoRR Erwan Fagnou, Paul Caillon, Blaise Delattre, Alexandre Allauzen
2025	A*	`conf`	Accelerated training through iterative gradient propagation along the residual path. ICLR Erwan Fagnou, Paul Caillon, Blaise Delattre, Alexandre Allauzen
2025	A	`conf`	Bridging the Theoretical Gap in Randomized Smoothing. AISTATS Blaise Delattre, Paul Caillon, Quentin Barthélemy, Erwan Fagnou, Alexandre Allauzen
2025	J	`jnl`	Bridging the Theoretical Gap in Randomized Smoothing. CoRR Blaise Delattre, Paul Caillon, Quentin Barthélemy, Erwan Fagnou, Alexandre Allauzen
2025	J	`jnl`	Conditional Distribution Quantization in Machine Learning. CoRR Blaise Delattre, Sylvain Delattre, Alexandre Verine, Alexandre Allauzen
2025	A	`conf`	Forward Only Learning for Orthogonal Neural Networks of Any Depth. ECAI Paul Caillon, Alex Colagrande, Erwan Fagnou, Blaise Delattre, Alexandre Allauzen
2025	J	`jnl`	Forward Only Learning for Orthogonal Neural Networks of any Depth. CoRR Paul Caillon, Alex Colagrande, Erwan Fagnou, Blaise Delattre, Alexandre Allauzen
2025	J	`jnl`	On the Stability of Neural Networks in Deep Learning. CoRR Blaise Delattre
2025	—	`—`	On the Stability of Neural Networks in Deep Learning. (Stabilité des réseaux de neurones artificiels en apprentissage profond). Blaise Delattre
2024	A*	`conf`	Chain and Causal Attention for Efficient Entity Tracking. EMNLP Erwan Fagnou, Paul Caillon, Blaise Delattre, Alexandre Allauzen
2024	J	`jnl`	Chain and Causal Attention for Efficient Entity Tracking. CoRR Erwan Fagnou, Paul Caillon, Blaise Delattre, Alexandre Allauzen
2024	J	`jnl`	Spectral Norm of Convolutional Layers with Circular and Zero Paddings. CoRR Blaise Delattre, Quentin Barthélemy, Alexandre Allauzen
2024	A*	`conf`	The Lipschitz-Variance-Margin Tradeoff for Enhanced Randomized Smoothing. ICLR Blaise Delattre, Alexandre Araujo, Quentin Barthélemy, Alexandre Allauzen
2023	A*	`conf`	A Unified Algebraic Perspective on Lipschitz Neural Networks. ICLR Alexandre Araujo, Aaron J. Havens, Blaise Delattre, Alexandre Allauzen, Bin Hu
2023	J	`jnl`	A Unified Algebraic Perspective on Lipschitz Neural Networks. CoRR Alexandre Araujo, Aaron J. Havens, Blaise Delattre, Alexandre Allauzen, Bin Hu
2023	A*	`conf`	Efficient Bound of Lipschitz Constant for Convolutional Layers by Gram Iteration. ICML Blaise Delattre, Quentin Barthélemy, Alexandre Araujo, Alexandre Allauzen
2023	J	`jnl`	Efficient Bound of Lipschitz Constant for Convolutional Layers by Gram Iteration. CoRR Blaise Delattre, Quentin Barthélemy, Alexandre Araujo, Alexandre Allauzen
2023	J	`jnl`	The Lipschitz-Variance-Margin Tradeoff for Enhanced Randomized Smoothing. CoRR Blaise Delattre, Alexandre Araujo, Quentin Barthélemy, Alexandre Allauzen
2022	A*	`conf`	A Dynamical System Perspective for Lipschitz Neural Networks. ICML Laurent Meunier, Blaise Delattre, Alexandre Araujo, Alexandre Allauzen
2021	J	`jnl`	Scalable Lipschitz Residual Networks with Convex Potential Flows. CoRR Laurent Meunier, Blaise Delattre, Alexandre Araujo, Alexandre Allauzen