Jeremy Goldwasser

According to our database, Jeremy Goldwasser authored at least 7 papers between 2021 and 2025.

Collaborative distances:

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

2025

Unifying Image Counterfactuals and Feature Attributions with Latent-Space Adversarial Attacks.

Jeremy Goldwasser, Giles Hooker

CoRR, April, 2025

Statistical Significance of Feature Importance Rankings.

Jeremy Goldwasser, Giles Hooker

Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

2024

Provably Stable Feature Rankings with SHAP and LIME.

Jeremy Goldwasser, Giles Hooker

CoRR, 2024

Stabilizing Estimates of Shapley Values with Control Variates.

Jeremy Goldwasser, Giles Hooker

Proceedings of the Explainable Artificial Intelligence, 2024

2023

MedGen: A Python Natural Language Processing Toolkit for Medical Text Processing.

Rui Yang, Qingcheng Zeng, Keen You, Yujie Qiao, Lucas Huang, Chiachun Hsieh, Benjamin Rosand, Jeremy Goldwasser, Amisha D. Dave, Tiarnan D. L. Keenan, Emily Y. Chew, Dragomir Radev, Zhiyong Lu, Hua Xu, Qingyu Chen, Irene Li

CoRR, 2023

2022

Neural Natural Language Processing for unstructured data in electronic health records: A review.

Irene Li, Jessica Pan, Jeremy Goldwasser, Neha Verma, Wai Pan Wong, Muhammed Yavuz Nuzumlali, Benjamin Rosand, Yixin Li, Matthew Zhang, David Chang, Richard Andrew Taylor, Harlan M. Krumholz, Dragomir Radev

Comput. Sci. Rev., 2022

2021

Forest Fire Clustering: Cluster-oriented Label Propagation Clustering and Monte Carlo Verification Inspired by Forest Fire Dynamics.

Zhanlin Chen, Philip Tuckman, Jeremy Goldwasser, Jing Zhang, Mark Gerstein

CoRR, 2021