Juan Lavista Ferres
3 papers in the PaperMetrix corpus
Papers by this author
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MACE: A Flexible Framework for Membership Privacy Estimation in Generative Models
2020 · arXiv (Cornell University)
Generative machine learning models are being increasingly viewed as a way to share sensitive data between institutions. While there has been work on developing differentially private generative modeling approaches, these approaches generally lead to sub-par …
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Open Datasheets: Machine-readable Documentation for Open Datasets and Responsible AI Assessments
2023 · arXiv (Cornell University)
This paper introduces a no-code, machine-readable documentation framework for open datasets, with a focus on responsible AI (RAI) considerations. The framework aims to improve comprehensibility, and usability of open datasets, facilitating easier discovery and use, …
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Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation
2025
Training robust deep learning models is crucial in Earth Observation, where globally deployed models often face distribution shifts that degrade performance, especially in low-data regions. Out-of-distribution (OOD) detection addresses this by identifying inputs that deviate …