47 citations · 305 across the 34 of their papers we have counts for
5 papers · 1 filter
Design Amortization for Bayesian Optimal Experimental Design
Noble Kennamer, Steven Walton, Alexander Ihler
Bayesian optimal experimental design is a sub-field of statistics focused on developing methods to make efficient use of experimental resources. Any potential design is evaluated i…
Connectivity-Aware Pheromone Mobility Model for Autonomous UAV Networks
Shreyas Devaraju, Alexander Ihler, Sunil Kumar
UAV networks consisting of reduced size, weight, and power (low SWaP) fixed-wing UAVs are used for civilian and military applications such as search and rescue, surveillance, and t…
Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks
Litian Liang, Yaosheng Xu, Stephen McAleer +4
In temporal-difference reinforcement learning algorithms, variance in value estimation can cause instability and overestimation of the maximal target value. Many algorithms have be…
Scale-Separated Dynamic Mode Decomposition and Ionospheric Forecasting
Daniel J. Alford-Lago, Christopher W. Curtis, Alexander T. Ihler +1
We present a method for forecasting the foF2 and hmF2 parameters using modal decompositions of ionospheric electron density profile time series. Our method is based on the Dynamic…
Accurate Link Lifetime Computation in Autonomous Airborne UAV Networks
Shivam Garg, Alexander Ihler, Sunil Kumar
An autonomous airborne network (AN) consists of multiple unmanned aerial vehicles (UAVs), which can self-configure to provide seamless, low-cost and secure connectivity. AN is pref…