activity
20132025
most citedInterpretable Water Level Forecaster with Spatiotemporal Causal Attention Mechanisms

11 citations · 15 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2025

Does a Large Language Model Really Speak in Human-Like Language?

Mose Park, Yunjin Choi, Jong-June Jeon

Large Language Models (LLMs) have recently emerged, attracting considerable attention due to their ability to generate highly natural, human-like text. This study compares the late…

cs.LG2023★ 11 cited

Interpretable Water Level Forecaster with Spatiotemporal Causal Attention Mechanisms

Sungchul Hong, Yunjin Choi, Jong-June Jeon

Accurate forecasting of river water levels is vital for effectively managing traffic flow and mitigating the risks associated with natural disasters. This task presents challenges…

stat.AP2022

Capturing usage patterns in bike sharing system via multilayer network fused Lasso

Yunjin Choi, Haeran Cho, Hyelim Son

Data collected from a bike-sharing system exhibit complex temporal and spatial features. We analyze shared-bike usage data collected in three large cities at the level of individua…

stat.ME2014

Selecting the number of principal components: estimation of the true rank of a noisy matrix

Yunjin Choi, Jonathan Taylor, Robert Tibshirani

Principal component analysis (PCA) is a well-known tool in multivariate statistics. One significant challenge in using PCA is the choice of the number of components. In order to ad…

stat.AP2013★ 4 cited

An Investigation of Methods for Handling Missing Data with Penalized Regression

Yunjin Choi, Robert Tibshirani

We investigate methods for penalized regression in the presence of missing observations. This paper introduces a method for estimating the parameters which compensates for the miss…