3 papers
cs.LG2025
Residual Reweighted Conformal Prediction for Graph Neural Networks
Zheng Zhang, Jie Bao, Zhixin Zhou +3
Graph Neural Networks (GNNs) excel at modeling relational data but face significant challenges in high-stakes domains due to unquantified uncertainty. Conformal prediction (CP) off…
quant-ph2025
Assumption-free fidelity bounds for hardware noise characterization
Nicolo Colombo
In the Quantum Supremacy regime, quantum computers may overcome classical machines on several tasks if we can estimate, mitigate, or correct unavoidable hardware noise. Estimating…
cs.LG2025
Enhanced Route Planning with Calibrated Uncertainty Set
Lingxuan Tang, Rui Luo, Zhixin Zhou +1
This paper investigates the application of probabilistic prediction methodologies in route planning within a road network context. Specifically, we introduce the Conformalized Quan…