Davin Hill

According to our database1, Davin Hill authored at least 12 papers between 2022 and 2026.

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Bibliography

2026
MedFabric and EtHER: A Data-Centric Framework for Word-Level Fabrication Generation and Detection in Medical LLMs.
CoRR, May, 2026

2025
OrdShap: Feature Position Importance for Sequential Black-Box Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

STAR: Stability-Inducing Weight Perturbation for Continual Learning.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Axiomatic Explainer Globalness via Optimal Transport.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024
Analyzing Explainer Robustness via Probabilistic Lipschitzness of Prediction Functions.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Boundary-Aware Uncertainty for Feature Attribution Explainers.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
Geometry of Score Based Generative Models.
CoRR, 2023

Divide and Compose with Score Based Generative Models.
CoRR, 2023

SmoothHess: ReLU Network Feature Interactions via Stein's Lemma.
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.
CoRR, 2022

Analyzing the Effects of Classifier Lipschitzness on Explainers.
CoRR, 2022

Explanations of Black-Box Models based on Directional Feature Interactions.
Proceedings of the Tenth International Conference on Learning Representations, 2022


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