Yunfan Zhao

most citedScalable Neural Network Kernels

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

math.PR2025

On the $L^{p}$ Norms of Random Exponential Sums and the Metric Domination Principle over the Simple Random Walk

Yunfan Zhao, Xiaojing Chen

Let $R (n)$ denote the Simple Random Walk on $Z$ . We investigate the $L^{p}$ -norms of random exponential sums of the form $S_{A} (a, y) = \sum_{j \in A} a_{j} e^{2 π i y R (j)}$ eval…

math.PR2025

Translators asymptotic to vertical hyperplane

Yunfan Zhao

We prove that a vertical hyperplane is the only complete translator, properly immersed in $R^{n + 1}$ ( $n \geq 3$ ) and having finite topology, whose ends are $C^{1}$ -asymptotic…

q-fin.MF2025

Concentration Inequalities for Sub-Weibull Random Tensors

Yunfan Zhao

We extend the theory of concentration inequalities to simple random tensors with heavy-tailed coefficients. Specifically, we consider the class of sub-Weibull distributions $\mathc…

math.FA2025

Rellich-Kondrachov type theorems on the half-space with general singular weights

Yunfan Zhao, Xiaojing Chen

We prove Rellich-Kondrachov type theorems on the half-space $H^{N + 1} = {(y, x) \in R \times R^{N} : y > 0}$ endowed with the general weighted meas…

cs.LG2023★ 2 cited

Scalable Neural Network Kernels

Arijit Sehanobish, Krzysztof Choromanski, Yunfan Zhao +2

We introduce the concept of scalable neural network kernels (SNNKs), the replacements of regular feedforward layers (FFLs), capable of approximating the latter, but with favorable…

On the Lp Norms of Random Exponential Sums and the Metric Domination Principle over the Simple Random Walk

Translators asymptotic to vertical hyperplane

Concentration Inequalities for Sub-Weibull Random Tensors

Rellich-Kondrachov type theorems on the half-space with general singular weights

Scalable Neural Network Kernels

On the $L^{p}$ Norms of Random Exponential Sums and the Metric Domination Principle over the Simple Random Walk