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Javier Maass

2 papers hereh-index 27 citations3 works total

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Across the 2 of 2 papers where every author was matched, so the position is known.

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  • stat.ML2

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2 papers

stat.ML2026

Dropout and Random Gradient Masking Are Asymptotically Equivalent in Large ResNets

Javier Maass, Lénaïc Chizat

Dropout and Random Gradient Masking (RaM) are two training techniques used to improve performance in deep learning. Both techniques inject randomness into the training dynamics, bu…

stat.ML2026

ResNets of All Shapes and Sizes: Convergence of Training Dynamics in the Large-scale Limit

Louis-Pierre Chaintron, Lénaïc Chizat, Javier Maass

We establish convergence of the training dynamics of residual neural networks (ResNets) to their joint infinite depth L, hidden width M, and embedding dimension D limit. Specifical…

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