9 citations · 19 across the 8 of their papers we have counts for
8 papers
PnPXAI: A Universal XAI Framework Providing Automatic Explanations Across Diverse Modalities and Models
Seongun Kim, Sol A Kim, Geonhyeong Kim +5
Recently, post hoc explanation methods have emerged to enhance model transparency by attributing model outputs to input features. However, these methods face challenges due to thei…
Statistical and computational rates in high rank tensor estimation
Chanwoo Lee, Miaoyan Wang
Higher-order tensor datasets arise commonly in recommendation systems, neuroimaging, and social networks. Here we develop probable methods for estimating a possibly high rank signa…
Sufficient dimension reduction for feature matrices
Chanwoo Lee
We address the problem of sufficient dimension reduction for feature matrices, which arises often in sensor network localization, brain neuroimaging, and electroencephalography ana…
Statistical and Computational Efficiency for Smooth Tensor Estimation with Unknown Permutations
Chanwoo Lee, Miaoyan Wang
We consider the problem of structured tensor denoising in the presence of unknown permutations. Such data problems arise commonly in recommendation system, neuroimaging, community…
Nonparametric Trace Regression in High Dimensions via Sign Series Representation
Chanwoo Lee, Lexin Li, Hao Helen Zhang +1
Learning of matrix-valued data has recently surged in a range of scientific and business applications. Trace regression is a widely used method to model effects of matrix predictor…
Beyond the Signs: Nonparametric Tensor Completion via Sign Series
Chanwoo Lee, Miaoyan Wang
We consider the problem of tensor estimation from noisy observations with possibly missing entries. A nonparametric approach to tensor completion is developed based on a new model…
Tensor denoising and completion based on ordinal observations
Chanwoo Lee, Miaoyan Wang
Higher-order tensors arise frequently in applications such as neuroimaging, recommendation system, social network analysis, and psychological studies. We consider the problem of lo…
Supervised tensor decomposition with features on multiple modes
Jiaxin Hu, Chanwoo Lee, Miaoyan Wang
Higher-order tensors have received increased attention across science and engineering. While most tensor decomposition methods are developed for a single tensor observation, scient…