Tessa Han

13 papers A* 2A 2Journal 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Weight Decay Improves Language Model Plasticity.
CoRR
Tessa Han, Sebastian Bordt, Hanlin Zhang, Sham Kakade
2025 J jnl
Building Bridges, Not Walls - Advancing Interpretability by Unifying Feature, Data, and Model Component Attribution.
CoRR
Shichang Zhang, Tessa Han, Usha Bhalla, Hima Lakkaraju
2024 A conf
Characterizing Data Point Vulnerability as Average-Case Robustness.
UAI
Tessa Han, Suraj Srinivas, Himabindu Lakkaraju
2024 A conf
Hevelius Report: Visualizing Web-Based Mobility Test Data For Clinical Decision and Learning Support.
ASSETS
Hongjin Lin, Tessa Han, Krzysztof Z. Gajos, Anoopum S. Gupta
2024 J jnl
Hevelius Report: Visualizing Web-Based Mobility Test Data For Clinical Decision and Learning Support.
CoRR
Hongjin Lin, Tessa Han, Krzysztof Z. Gajos, Anoopum S. Gupta
2024 A* conf
MedSafetyBench: Evaluating and Improving the Medical Safety of Large Language Models.
NeurIPS
Tessa Han, Aounon Kumar, Chirag Agarwal, Himabindu Lakkaraju
2024 J jnl
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective.
Trans. Mach. Learn. Res.
Satyapriya Krishna, Tessa Han, Alex Gu, Steven Wu, Shahin Jabbari, Himabindu Lakkaraju
2024 J jnl
Towards Safe and Aligned Large Language Models for Medicine.
CoRR
Tessa Han, Aounon Kumar, Chirag Agarwal, Himabindu Lakkaraju
2023 J jnl
Efficient Estimation of the Local Robustness of Machine Learning Models.
CoRR
Tessa Han, Suraj Srinivas, Himabindu Lakkaraju
2023 J jnl
Is Ignorance Bliss? The Role of Post Hoc Explanation Faithfulness and Alignment in Model Trust in Laypeople and Domain Experts.
CoRR
Tessa Han, Yasha Ektefaie, Maha R. Farhat, Marinka Zitnik, Himabindu Lakkaraju
2022 J jnl
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective.
CoRR
Satyapriya Krishna, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu, Himabindu Lakkaraju
2022 A* conf
Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post Hoc Explanations.
NeurIPS
Tessa Han, Suraj Srinivas, Himabindu Lakkaraju
2022 J jnl
Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post hoc Explanations.
CoRR
Tessa Han, Suraj Srinivas, Himabindu Lakkaraju