1 citations · 1 across the 4 of their papers we have counts for
4 papers
Machine Learning-based Unfolding for Cross Section Measurements in the Presence of Nuisance Parameters
Huanbiao Zhu, Krish Desai, Mikael Kuusela +3
Statistically correcting measured cross sections for detector effects is an important step across many applications. In particle physics, this inverse problem is known as unfolding…
Response Matrix Estimation in Unfolding Differential Cross Sections
Huanbiao Zhu, Andrea Carlo Marini, Mikael Kuusela +1
The unfolding problem in particle physics is to make inferences about the true particle spectrum based on smeared observations from a detector. This is an ill-posed inverse problem…
Multidimensional Deconvolution with Profiling
Huanbiao Zhu, Krish Desai, Mikael Kuusela +3
In many experimental contexts, it is necessary to statistically remove the impact of instrumental effects in order to physically interpret measurements. This task has been extensiv…
A Simple and Efficient Method to Compute a Single Linkage Dendrogram
Huanbiao Zhu, Werner Stuetzle
We address the problem of computing a single linkage dendrogram. A possible approach is to: (i) Form an edge weighted graph over the data, with edge weights reflecting dissimil…