Brian E. Ruttenberg

Publication Activity (10 Years)

Years Active: 2011-2018
Publications (10 Years): 8

Top Topics

Probabilistic Modeling

Spatial Relations

Top Venues

Publications

Michael Harradon, Jeff Druce, Brian E. Ruttenberg
Causal Learning and Explanation of Deep Neural Networks via Autoencoded Activations. CoRR (2018)
Avi Pfeffer, Brian E. Ruttenberg, William Kretschmer, Alison O'Connor
Structured Factored Inference for Probabilistic Programming. AISTATS (2018)
Brian E. Ruttenberg, Dave Blumstein, Jeff Druce, Michael Howard, Fred Reed, Leslie Wilfong, Crystal Lister, Steve Gaskin, Meaghan Foley, Daniel Scofield
Probabilistic Modeling of Insider Threat Detection Systems. GraMSec@CSF (2017)
Avi Pfeffer, Brian E. Ruttenberg, Lee Kellogg, Michael Howard, Catherine Call, Alison O'Connor, Glenn Takata, Scott Neal Reilly, Terry Patten, Jason Taylor, Robert Hall, Arun Lakhotia, Craig Miles, Daniel Scofield, Jared Frank
Artificial Intelligence Based Malware Analysis. CoRR (2017)
Brian E. Ruttenberg, Lee Kellogg, Avi Pfeffer
Probabilistic Programming for Malware Analysis. CoRR (2016)
Avi Pfeffer, Brian E. Ruttenberg, William Kretschmer
Structured Factored Inference: A Framework for Automated Reasoning in Probabilistic Programming Languages. CoRR (2016)
Avi Pfeffer, Brian E. Ruttenberg, Amy Sliva, Michael Howard, Glenn Takata
Lazy Factored Inference for Functional Probabilistic Programming. CoRR (2015)
Brian E. Ruttenberg, Matthew P. Wilkins, Avi Pfeffer
Reasoning on resident space object hierarchies using probabilistic programming. FUSION (2015)
Brian E. Ruttenberg, Matthew P. Wilkins, Avi Pfeffer
Hierarchical Reasoning with Probabilistic Programming. AAAI Workshop: Statistical Relational Artificial Intelligence (2014)
Brian E. Ruttenberg, Avi Pfeffer
Decision-Making with Complex Data Structures using Probabilistic Programming. CoRR (2014)
Lee Kellogg, Brian E. Ruttenberg, Alison O'Connor, Michael Howard, Avi Pfeffer
Hierarchical management of large-scale malware data. IEEE BigData (2014)
Brian E. Ruttenberg, Craig Miles, Lee Kellogg, Vivek Notani, Michael Howard, Charles LeDoux, Arun Lakhotia, Avi Pfeffer
Identifying Shared Software Components to Support Malware Forensics. DIMVA (2014)
Brian E. Ruttenberg, Gabriel Luna, Geoffrey P. Lewis, Steven K. Fisher, Ambuj K. Singh
Quantifying spatial relationships from whole retinal images. Bioinform. 29 (7) (2013)
Nicholas D. Larusso, Brian E. Ruttenberg, Ambuj K. Singh
A Latent Parameter Node-Centric Model for Spatial Networks CoRR (2012)
Brian E. Ruttenberg, Ambuj K. Singh
Indexing the Earth Mover's Distance Using Normal Distributions CoRR (2011)
Panuakdet Suwannatat, Gabriel Luna, Brian E. Ruttenberg, R. Raviv, Geoffrey P. Lewis, Steven K. Fisher, Tobias Höllerer
Interactive visualization of retinal astrocyte images. ISBI (2011)
Brian E. Ruttenberg, Ambuj K. Singh
Indexing the Earth Mover's Distance Using Normal Distributions. Proc. VLDB Endow. 5 (3) (2011)