most citedStatistical properties of damped Lyman-alpha systems from Sloan Digital Sky Survey DR12

54 citations · 100 across the 4 of their papers we have counts for

collaborators

7 papers

cond-mat.mtrl-sci20241 cited

Probabilistic Prediction of Material Stability: Integrating Convex Hulls into Active Learning

Andrew Novick, Diana Cai, Quan Nguyen +3

Active learning is a valuable tool for efficiently exploring complex spaces, finding a variety of uses in materials science. However, the determination of convex hulls for phase di…

cs.HC20231 cited

Human-Computer Collaboration for Visual Analytics: an Agent-based Framework

Shayan Monadjemi, Mengtian Guo, David Gotz +2

The visual analytics community has long aimed to understand users better and assist them in their analytic endeavors. As a result, numerous conceptual models of visual analytics ai…

cs.HC20221 cited

A Unified Comparison of User Modeling Techniques for Predicting Data Interaction and Detecting Exploration Bias

Sunwoo Ha, Shayan Monadjemi, Roman Garnett +1

The visual analytics community has proposed several user modeling algorithms to capture and analyze users' interaction behavior in order to assist users in data exploration and ins…

stat.ML20164 cited

Active Search for Sparse Signals with Region Sensing

Yifei Ma, Roman Garnett, Jeff Schneider

Autonomous systems can be used to search for sparse signals in a large space; e.g., aerial robots can be deployed to localize threats, detect gas leaks, or respond to distress call…

astro-ph.GA201654 cited

Statistical properties of damped Lyman-alpha systems from Sloan Digital Sky Survey DR12

Simeon Bird, Roman Garnett, Shirley Ho

We present new estimates for the statistical properties of damped Lyman- absorbers (DLAs). We compute the column density distribution function at , the line density, $\math…

stat.ML201442 cited

Sampling for Inference in Probabilistic Models with Fast Bayesian Quadrature

Tom Gunter, Michael A. Osborne, Roman Garnett +2

We propose a novel sampling framework for inference in probabilistic models: an active learning approach that converges more quickly (in wall-clock time) than Markov chain Monte Ca…