1 citations · 1 across the 1 of their papers we have counts for
2 papers
stat.ML2024★ 1 cited
Large Deviations of Gaussian Neural Networks with ReLU activation
Quirin Vogel
We prove a large deviation principle for deep neural networks with Gaussian weights and at most linearly growing activation functions, such as ReLU. This generalises earlier work,…
math.PR2022
Quantitative bounds for large deviations of heavy tailed random variables
Quirin Vogel
The probability that the sum of independent, centered, identically distributed, heavy-tailed random variables achieves a very large value is asymptotically equal to the probability…