activity
20192026
most citedU.S. Broadband Coverage Data Set: A Differentially Private Data Release

5 citations · 20 across the 23 of their papers we have counts for

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8 papers · 1 filter

cs.LG2026

RosettaSearch: Multi-Objective Inference-Time Search for Protein Sequence Design

Meghana Kshirsagar, Allen Nie, Ching-An Cheng +5

We introduce RosettaSearch, an inference-time multi-objective optimization approach for backbone conditioned protein sequence design. We use large language models (LLMs) as a gener…

cs.LG2025

Machine Learning for Sustainable Rice Production: Region-Scale Monitoring of Water-Saving Practices in Punjab, India

Ando Shah, Rajveer Singh, Akram Zaytar +6

Rice cultivation supplies half the world's population with staple food, while also being a major driver of freshwater depletion--consuming roughly a quarter of global freshwater--a…

cs.LG20251 cited

Global Renewables Watch: A Temporal Dataset of Solar and Wind Energy Derived from Satellite Imagery

Caleb Robinson, Anthony Ortiz, Allen Kim +6

We present a comprehensive global temporal dataset of commercial solar photovoltaic (PV) farms and onshore wind turbines, derived from high-resolution satellite imagery analyzed qu…

cs.LG2023

Open Datasheets: Machine-readable Documentation for Open Datasets and Responsible AI Assessments

Anthony Cintron Roman, Jennifer Wortman Vaughan, Valerie See +4

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 comp…

cs.LG2023

Open Data on GitHub: Unlocking the Potential of AI

Anthony Cintron Roman, Kevin Xu, Arfon Smith +3

GitHub is the world's largest platform for collaborative software development, with over 100 million users. GitHub is also used extensively for open data collaboration, hosting mor…

cs.LG20221 cited

Dwelling Type Classification for Disaster Risk Assessment Using Satellite Imagery

Md Nasir, Tina Sederholm, Anshu Sharma +4

Vulnerability and risk assessment of neighborhoods is essential for effective disaster preparedness. Existing traditional systems, due to dependency on time-consuming and cost-inte…