5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.LG2026
Distribution-Aware Conformal Prediction: A Framework for generating efficient prediction intervals for time series
Daniel Schweizer, Peter Kuhn, Jayant Sharma +3
We present Distribution-aware Conformal Prediction (DCP), a unified framework integrating probabilistic predictors like Monte Carlo dropout, deep ensembles, and quantile regression…
cs.CV2024★ 5 cited
OAM-TCD: A globally diverse dataset of high-resolution tree cover maps
Josh Veitch-Michaelis, Andrew Cottam, Daniella Schweizer +5
Accurately quantifying tree cover is an important metric for ecosystem monitoring and for assessing progress in restored sites. Recent works have shown that deep learning-based seg…