Falling Rule Lists. - Fulton Wang; Cynthia Rudin (AISTATS, 2015)

Causal Falling Rule Lists. - Fulton Wang; Cynthia Rudin (CoRR, 2015)

Dimension Reduction for Robust Covariate Shift Correction. - Fulton Wang; Cynthia Rudin (CoRR, 2017)

Addressing two issues in machine learning: interpretability and dataset shift. - Fulton Wang (2018)

The Multiple Instance Learning Gaussian Process Probit Model. - Fulton Wang; Ali Pinar (AISTATS, 2021)

Bias Mitigation Framework for Intersectional Subgroups in Neural Networks. - Narine Kokhlikyan; Bilal Alsallakh; Fulton Wang; Vivek Miglani; Oliver Aobo Yang; David Adkins (CoRR, 2022)

XAIR: A Framework of Explainable AI in Augmented Reality. - Xuhai Xu; Anna Yu; Tanya R. Jonker; Kashyap Todi; Feiyu Lu; Xun Qian; João Marcelo Evangelista Belo; Tianyi Wang 004; Michelle Li; Aran Mun; Te-Yen Wu; Junxiao Shen; et al. (CHI, 2023)

Error Discovery By Clustering Influence Embeddings. - Fulton Wang; Julius Adebayo; Sarah Tan; Diego Garcia-Olano; Narine Kokhlikyan (NeurIPS, 2023)

XAIR: A Framework of Explainable AI in Augmented Reality. - Xuhai Xu; Mengjie Yu; Tanya R. Jonker; Kashyap Todi; Feiyu Lu; Xun Qian; João Marcelo Evangelista Belo; Tianyi Wang 004; Michelle Li; Aran Mun; Te-Yen Wu; Junxiao Shen; et al. (CoRR, 2023)

Explainable Interfaces for Rapid Gaze-Based Interactions in Mixed Reality. - Mengjie Yu; Dustin Harris; Ian Jones; Ting Zhang 013; Yue Liu; Naveen Sendhilnathan; Narine Kokhlikyan; Fulton Wang; Co Tran; Jordan L. Livingston; Krista E. Taylor; Zhenhong Hu; et al. (CoRR, 2024)