6 citations · 10 across the 3 of their papers we have counts for
3 papers
Efficient Level-Crossing Probability Calculation for Gaussian Process Modeled Data
Haoyu Li, Isaac J Michaud, Ayan Biswas +1
Almost all scientific data have uncertainties originating from different sources. Gaussian process regression (GPR) models are a natural way to model data with Gaussian-distributed…
URSA: The Universal Research and Scientific Agent
Michael Grosskopf, Nathan Debardeleben, Russell Bent +10
Large language models (LLMs) have moved far beyond their initial form as simple chatbots, now carrying out complex reasoning, planning, writing, coding, and research tasks. These s…
COFFEE: COVID-19 Forecasts using Fast Evaluations and Estimation
Lauren Castro, Geoffrey Fairchild, Isaac Michaud +1
This document details the methodology of the Los Alamos National Laboratory COVID-19 forecasting model, COFFEE (COVID-19 Forecasts using Fast Evaluations and Estimation).