5 citations · 20 across the 23 of their papers we have counts for
8 papers · 1 filter
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…
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…
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…
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…
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…
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…