papers

Publications (5)

cs.AI2020

Provenance-Based Interpretation of Multi-Agent Information Analysis

Scott Friedman, Jeff Rye, David LaVergne +3

Analytic software tools and workflows are increasing in capability, complexity, number, and scale, and the integrity of our workflows is as important as ever. Specifically, we must…

cs.LG2023

A Scalable Finite Difference Method for Deep Reinforcement Learning

Matthew Allen, John Raisbeck, Hakho Lee

Several low-bandwidth distributable black-box optimization algorithms in the family of finite differences such as Evolution Strategies have recently been shown to perform nearly as…

astro-ph.GA2015

H-ATLAS/GAMA: Quantifying the Morphological Evolution of the Galaxy Population Using Cosmic Calorimetry

Stephen Eales, Andrew Fullard, Matthew Allen +28

Using results from the Herschel Astrophysical Terrahertz Large-Area Survey and the Galaxy and Mass Assembly project, we show that, for galaxy masses above approximately 1.0e8 solar…

eess.SY2025

Collaborative Drill Alignment in Surgical Robotics

Daniel Larby, Joshua Kershaw, Matthew Allen +1

Robotic assistance allows surgeries to be reliably and accurately executed while still under direct supervision of the surgeon, combining the strengths of robotic technology with t…

cs.NE2019

Evolution Strategies Converges to Finite Differences

John C. Raisbeck, Matthew Allen, Ralph Weissleder +2

Since the debut of Evolution Strategies (ES) as a tool for Reinforcement Learning by Salimans et al. 2017, there has been interest in determining the exact relationship between the…