1 citations · 2 across the 2 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★ 1 cited
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…