3 papers
cs.LG2026
When Does Adaptation Win? Scaling Laws for Meta-Learning in Quantum Control
Nima Leclerc, Chris Miller, Nicholas Brawand
Quantum hardware suffers from intrinsic device heterogeneity and environmental drift, forcing practitioners to choose between suboptimal non-adaptive controllers or costly per-devi…
stat.ML2026
Active Multiple-Prediction-Powered Inference
Nicholas Brawand, Nima Leclerc, Anhthy Ngo +4
Post-deployment monitoring of healthcare AI requires statistically valid, label-efficient methods, but gold-standard labels from clinician chart review are expensive. Prediction-po…
cond-mat.mtrl-sci2025
Magnetothermal Properties with Sampled Effective Local Field Estimation
Nicholas Brawand, Nima Leclerc, Emiko Zumbro
We introduce a first-principles method for predicting the magnetothermal properties of solid-state materials, which we call Sampled Effective Local Field Estimation. This approach…