arXiv stat.ML
· Papers
Physics-Informed Learning for Robust Acoustic Localization with Calibrated Uncertainty
arXiv:2608.08911v1 Announce Type: new Abstract: Recent advances in Passive Acoustic Monitoring (PAM) offer an opportunity to obtain ecological spatial point-process data at unprecedented scale. However, realizing this opportunity necessitates the development of accurate and scalable localization methods. In real-world