Wang, Jane-Ling

6 publications

DMLR 2024 Detecting Errors in a Numerical Response via Any Regression Model Hang Zhou, Jonas Mueller, Mayank Kumar, Jane-Ling Wang, Jing Lei

NeurIPS 2024 SAND: Smooth Imputation of Sparse and Noisy Functional Data with Transformer Networks Ju-Sheng Hong, Junwen Yao, Jonas Mueller, Jane-Ling Wang

NeurIPS 2021 Deep Extended Hazard Models for Survival Analysis Qixian Zhong, Jonas W Mueller, Jane-Ling Wang

ICML 2021 Deep Learning for Functional Data Analysis with Adaptive Basis Layers Junwen Yao, Jonas Mueller, Jane-Ling Wang

JMLR 2020 Greedy Attack and Gumbel Attack: Generating Adversarial Examples for Discrete Data Puyudi Yang, Jianbo Chen, Cho-Jui Hsieh, Jane-Ling Wang, Michael I. Jordan

AAAI 2020 ML-LOO: Detecting Adversarial Examples with Feature Attribution Puyudi Yang, Jianbo Chen, Cho-Jui Hsieh, Jane-Ling Wang, Michael I. Jordan