Explanations of Black-Box Models based on Directional Feature Interactions. - Aria Masoomi; Davin Hill; Zhonghui Xu; Craig P. Hersh; Edwin K. Silverman; Peter J. Castaldi; Stratis Ioannidis; Jennifer G. Dy (ICLR, 2022)

Analyzing the Effects of Classifier Lipschitzness on Explainers. - Zulqarnain Khan; Aria Masoomi; Davin Hill; Jennifer G. Dy (CoRR, 2022)

Explanation Uncertainty with Decision Boundary Awareness. - Davin Hill; Aria Masoomi; Sandesh Ghimire; Max Torop; Jennifer G. Dy (CoRR, 2022)

SmoothHess: ReLU Network Feature Interactions via Stein's Lemma. - Max Torop; Aria Masoomi; Davin Hill; Kivanç Köse; Stratis Ioannidis; Jennifer G. Dy (NeurIPS, 2023)

Divide and Compose with Score Based Generative Models. - Sandesh Ghimire; Armand Comas Massague; Davin Hill; Aria Masoomi; Octavia I. Camps; Jennifer G. Dy (CoRR, 2023)

Geometry of Score Based Generative Models. - Sandesh Ghimire; Jinyang Liu 005; Armand Comas Massague; Davin Hill; Aria Masoomi; Octavia I. Camps; Jennifer G. Dy (CoRR, 2023)

Boundary-Aware Uncertainty for Feature Attribution Explainers. - Davin Hill; Aria Masoomi; Max Torop; Sandesh Ghimire; Jennifer G. Dy (AISTATS, 2024)

Analyzing Explainer Robustness via Probabilistic Lipschitzness of Prediction Functions. - Zulqarnain Khan; Davin Hill; Aria Masoomi; Joshua T. Bone; Jennifer G. Dy (AISTATS, 2024)

Axiomatic Explainer Globalness via Optimal Transport. - Davin Hill; Joshua T. Bone; Aria Masoomi; Max Torop; Jennifer G. Dy (AISTATS, 2025)

STAR: Stability-Inducing Weight Perturbation for Continual Learning. - Masih Eskandar; Tooba Imtiaz; Davin Hill; Zifeng Wang 002; Jennifer G. Dy (ICLR, 2025)

OrdShap: Feature Position Importance for Sequential Black-Box Models. - Davin Hill; Brian L. Hill; Aria Masoomi; Vijay S. Nori; Robert E. Tillman; Jennifer G. Dy (CoRR, 2025)