Articles with public access mandates - Valerie ChenLearn more
Not available anywhere: 1
Applying interpretable machine learning in computational biology—pitfalls, recommendations and opportunities for new developments
V Chen, M Yang, W Cui, JS Kim, A Talwalkar, J Ma
Nature Methods 21 (8), 1454-1461, 2024
Mandates: Chan Zuckerberg Initiative
Available somewhere: 7
Use-case-grounded simulations for explanation evaluation
V Chen, N Johnson, N Topin, G Plumb, A Talwalkar
Advances in neural information processing systems 35, 1764-1775, 2022
Mandates: US National Science Foundation
Bayesian persuasion for algorithmic recourse
K Harris, V Chen, J Kim, A Talwalkar, H Heidari, SZ Wu
Advances in Neural Information Processing Systems 35, 11131-11144, 2022
Mandates: US National Science Foundation, US Department of Defense
Task-aware novelty detection for visual-based deep learning in autonomous systems
V Chen, MK Yoon, Z Shao
2020 IEEE International Conference on Robotics and Automation (ICRA), 11060 …, 2020
Mandates: US National Science Foundation
Best practices for interpretable machine learning in computational biology
V Chen, M Yang, W Cui, JS Kim, A Talwalkar, J Ma
bioRxiv, 2022.10. 28.513978, 2022
Mandates: US National Science Foundation, US National Institutes of Health
Simulated user studies for explanation evaluation
V Chen, G Plumb, N Topin, A Talwalkar
eXplainable AI approaches for debugging and diagnosis., 2021
Mandates: US National Science Foundation, US Department of Defense
FeedbackLogs: Recording and Incorporating Stakeholder Feedback into Machine Learning Pipelines
M Barker, E Kallina, D Ashok, K Collins, A Casovan, A Weller, A Talwalkar, ...
Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms …, 2023
Mandates: UK Engineering and Physical Sciences Research Council
Perspectives on incorporating expert feedback into model updates
V Chen, U Bhatt, H Heidari, A Weller, A Talwalkar
Patterns 4 (7), 2023
Mandates: US National Science Foundation
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