Marco Romito
2 papers · Latest:
Universality in Deep Neural Networks: An approach via the Lindeberg exchange principle
This paper proves quantitative bounds on the 2-Wasserstein distance between infinite-width deep neural networks and their Gaussian limit.
2605.02771
Stochastic Scaling Limits and Synchronization by Noise in Deep Transformer Models
This paper proves that deep transformer token evolution converges to a stochastic interacting particle system, showing synchronization by noise.
2604.26898
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