Masoomi, Aria

11 publications

AISTATS 2025 Axiomatic Explainer Globalness via Optimal Transport Davin Hill, Joshua Bone, Aria Masoomi, Max Torop, Jennifer Dy

NeurIPS 2025 DISCO: Disentangled Communication Steering for Large Language Models Max Torop, Aria Masoomi, Masih Eskandar, Jennifer Dy

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

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

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

NeurIPS 2023 SmoothHess: ReLU Network Feature Interactions via Stein's Lemma Max Torop, Aria Masoomi, Davin Hill, Kivanc Kose, Stratis Ioannidis, Jennifer Dy

AISTATS 2022 Deep Layer-Wise Networks Have Closed-Form Weights Chieh Tzu Wu, Aria Masoomi, Arthur Gretton, Jennifer Dy

ICLR 2022 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 Dy

NeurIPS 2021 Reliable Estimation of KL Divergence Using a Discriminator in Reproducing Kernel Hilbert Space Sandesh Ghimire, Aria Masoomi, Jennifer Dy

NeurIPS 2021 Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness Zifeng Wang, Tong Jian, Aria Masoomi, Stratis Ioannidis, Jennifer Dy

NeurIPS 2020 Instance-Wise Feature Grouping Aria Masoomi, Chieh Wu, Tingting Zhao, Zifeng Wang, Peter Castaldi, Jennifer Dy