Molecular structure prediction and homology detection offer promising paths to discovering
protein function and evolutionary relationships. However, current approaches lack statistical …

Conformal prediction (CP), a distribution-free uncertainty quantification (UQ) framework,
reliably provides valid predictive inference for black-box models. CP constructs prediction …

Conformal Prediction is a robust framework that ensures reliable coverage across machine
learning tasks. Although recent studies have applied conformal prediction to graph neural …