Davin Hill

According to our database, Davin Hill authored at least 8 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Analyzing Explainer Robustness via Probabilistic Lipschitzness of Prediction Functions.

Zulqarnain Khan, Davin Hill, Aria Masoomi, Joshua T. Bone, Jennifer G. Dy

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Boundary-Aware Uncertainty for Feature Attribution Explainers.

Davin Hill, Aria Masoomi, Max Torop, Sandesh Ghimire, Jennifer G. Dy

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Geometry of Score Based Generative Models.

Sandesh Ghimire, Jinyang Liu, Armand Comas Massague, Davin Hill, Aria Masoomi, Octavia I. Camps, Jennifer G. Dy

CoRR, 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

SmoothHess: ReLU Network Feature Interactions via Stein's Lemma.

Max Torop, Aria Masoomi, Davin Hill, Kivanç Köse, Stratis Ioannidis, Jennifer G. Dy

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Explanation Uncertainty with Decision Boundary Awareness.

Davin Hill, Aria Masoomi, Sandesh Ghimire, Max Torop, Jennifer G. Dy

CoRR, 2022

Analyzing the Effects of Classifier Lipschitzness on Explainers.

Zulqarnain Khan, Aria Masoomi, Davin Hill, Jennifer G. Dy

CoRR, 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 G. Dy

Proceedings of the Tenth International Conference on Learning Representations, 2022