Multi-modal conformal prediction regions by optimizing convex shape templates
Conformal prediction is a statistical tool for producing prediction regions for machine
learning models that are valid with high probability. A key component of conformal prediction …
learning models that are valid with high probability. A key component of conformal prediction …
Navigating the Unknown: Uncertainty-Aware Compute-in-Memory Autonomy of Edge Robotics
This paper addresses the challenging problem of energy-efficient and uncertainty-aware
pose estimation in insect-scale drones, which is crucial for tasks such as surveillance in …
pose estimation in insect-scale drones, which is crucial for tasks such as surveillance in …
Conformal Inference meets Evidential Learning: Distribution-Free Uncertainty Quantification with Epistemic and Aleatoric Separability
This paper introduces a lightweight framework for quantifying uncertainty in deep learning
models deployed at the edge, addressing the challenge of making reliable predictions under …
models deployed at the edge, addressing the challenge of making reliable predictions under …
Confomalized Multiband Uncertainty Regression and Reasoning for Visual Localization
D Parente - 2024 - search.proquest.com
This thesis introduces a novel uncertainty estimator designed to forecast multiband
uncertainty intervals in robot pose estimation. The methodology involves the combination of …
uncertainty intervals in robot pose estimation. The methodology involves the combination of …