4 citations · 4 across the 1 of their papers we have counts for
4 papers
The Wealth of Agents: Scaling Agentic AI Across Developers
Austin W. Hanjie, Carlos E. Jimenez, Zirui Wang +1
Today's agentic systems are typically designed, built, and deployed by single developers with full control over all participating agents. While this simplifies development, it limi…
Towards Calibrated Probabilistic Forecasts for Events of Interest via Outcome-Conditional Recalibration
Jakob Benjamin Wessel, Sam Allen
Calibration is an essential requirement for probabilistic predictions to be useful for decision making. While state-of-the-art prediction methods often yield miscalibrated predicti…
Enforcing tail calibration when training probabilistic forecast models
Jakob Benjamin Wessel, Maybritt Schillinger, Frank Kwasniok +1
Probabilistic forecasts are typically obtained using state-of-the-art statistical and machine learning models, with model parameters estimated by optimizing a proper scoring rule o…
Improving probabilistic forecasts of extreme wind speeds by training statistical post-processing models with weighted scoring rules
Jakob Benjamin Wessel, Christopher A. T. Ferro, Gavin R. Evans +1
Accurate forecasts of extreme wind speeds are of high importance for many applications. Such forecasts are usually generated by ensembles of numerical weather prediction (NWP) mode…