activity
20172019
most citedPredicting US State-Level Agricultural Sentiment as a Measure of Food Security with Tweets from Farming Communities

9 citations · 11 across the 2 of their papers we have counts for

collaborators

5 papers

q-bio.BM2019

Deflation reveals dynamical structure in nondominant reaction coordinates

Brooke E. Husic, Frank Noé

The output of molecular dynamics simulations is high-dimensional, and the degrees of freedom among the atoms are related in intricate ways. Therefore, a variety of analysis framewo…

math.DS2019

Kernel methods for detecting coherent structures in dynamical data

Stefan Klus, Brooke E. Husic, Mattes Mollenhauer +1

We illustrate relationships between classical kernel-based dimensionality reduction techniques and eigendecompositions of empirical estimates of reproducing kernel Hilbert space (R…

cs.CL20199 cited

Predicting US State-Level Agricultural Sentiment as a Measure of Food Security with Tweets from Farming Communities

Jared Dunnmon, Swetava Ganguli, Darren Hau +1

The ability to obtain accurate food security metrics in developing areas where relevant data can be sparse is critically important for policy makers tasked with implementing food a…

physics.bio-ph2018

Variational Selection of Features for Molecular Kinetics

Martin K. Scherer, Brooke E. Husic, Moritz Hoffmann +3

The modeling of atomistic biomolecular simulations using kinetic models such as Markov state models (MSMs) has had many notable algorithmic advances in recent years. The variationa…

physics.bio-ph20172 cited

Unsupervised learning of dynamical and molecular similarity using variance minimization

Brooke E. Husic, Vijay S. Pande

In this report, we present an unsupervised machine learning method for determining groups of molecular systems according to similarity in their dynamics or structures using Ward's…