1 citations · 2 across the 4 of their papers we have counts for
4 papers
DeepExtrema: A Deep Learning Approach for Forecasting Block Maxima in Time Series Data
Asadullah Hill Galib, Andrew McDonald, Tyler Wilson +2
Accurate forecasting of extreme values in time series is critical due to the significant impact of extreme events on human and natural systems. This paper presents DeepExtrema, a n…
COMET Flows: Towards Generative Modeling of Multivariate Extremes and Tail Dependence
Andrew McDonald, Pang-Ning Tan, Lifeng Luo
Normalizing flows, a popular class of deep generative models, often fail to represent extreme phenomena observed in real-world processes. In particular, existing normalizing flow a…
Online Estimation and Coverage Control with Heterogeneous Sensing Information
Andrew McDonald, Lai Wei, Vaibhav Srivastava
Heterogeneous multi-robot sensing systems are able to characterize physical processes more comprehensively than homogeneous systems. Access to multiple modalities of sensory data a…
Multi-Robot Gaussian Process Estimation and Coverage: A Deterministic Sequencing Algorithm and Regret Analysis
Lai Wei, Andrew McDonald, Vaibhav Srivastava
We study the problem of distributed multi-robot coverage over an unknown, nonuniform sensory field. Modeling the sensory field as a realization of a Gaussian Process and using Baye…