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Tessa Han
Tessa Han
Verified email at g.harvard.edu
Title
Cited by
Cited by
Year
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
S Krishna, T Han, A Gu, J Pombra, S Jabbari, S Wu, H Lakkaraju
arXiv preprint arXiv:2202.01602, 2022
1432022
Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post Hoc Explanations
T Han, S Srinivas, H Lakkaraju
NeurIPS, 2022
582022
Genome-wide somatic alterations in multiple myeloma reveal a superior outcome group
MK Samur, AA Samur, M Fulciniti, R Szalat, T Han, M Shammas, ...
Journal of Clinical Oncology 38 (27), 3107, 2020
482020
Water Treatment And Child Mortality: A Meta-Analysis And Cost-effectiveness Analysis
M Kremer, SP Luby, R Maertens, B Tan, W Więcek
National Bureau of Economic Research, 2023
132023
The disagreement problem in explainable machine learning: A practitioner’s perspective, 2022
S Krishna, T Han, A Gu, J Pombra, S Jabbari, S Wu, H Lakkaraju
arXiv preprint arXiv:2202.01602, 0
10
The disagreement problem in explainable machine learning: A practitioner’s perspective. arXiv
S Krishna, T Han, A Gu, J Pombra, S Jabbari, S Wu, H Lakkaraju
arXiv preprint arXiv:2202.01602, 2022
72022
Towards Safe and Aligned Large Language Models for Medicine
T Han, A Kumar, C Agarwal, H Lakkaraju
arXiv preprint arXiv:2403.03744, 2024
12024
Dysregulated miRNAs after Uniform Treatment Predict Outcome of Newly-Diagnosed Multiple Myeloma
T Han, S Minvielle, A Aktas Samur, M Fulciniti, F Magrangeas, ...
Blood 134, 4348-4348, 2019
12019
Is Ignorance Bliss? The Role of Post Hoc Explanation Faithfulness and Alignment in Model Trust
T Han, Y Ektefaie, M Farhat, M Zitnik, H Lakkaraju
arXiv preprint arXiv:2312.05690, 2023
2023
Efficient Estimation of the Local Robustness of Machine Learning Models
T Han, S Srinivas, H Lakkaraju
arXiv preprint arXiv:2307.13885, 2023
2023
The Landscape of Genome Wide Somatic Alterations Identifies a Good-Risk Group in Newly Diagnosed Multiple Myeloma
MK Samur, AA Samur, T Han, M Roncador, M Fulciniti, R Szalat, ...
Blood 134, 3055, 2019
2019
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