Brian E. Ruttenberg

According to our database, Brian E. Ruttenberg authored at least 16 papers between 2011 and 2018.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2018

Causal Learning and Explanation of Deep Neural Networks via Autoencoded Activations.

Michael Harradon, Jeff Druce, Brian E. Ruttenberg

CoRR, 2018

Structured Factored Inference for Probabilistic Programming.

Avi Pfeffer, Brian E. Ruttenberg, William Kretschmer, Alison O'Connor

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Artificial Intelligence Based Malware Analysis.

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

CoRR, 2017

Probabilistic Modeling of Insider Threat Detection Systems.

Brian E. Ruttenberg, Dave Blumstein, Jeff Druce, Michael Howard, Fred Reed, Leslie Wilfong, Crystal Lister, Steve Gaskin, Meaghan Foley, Daniel Scofield

Proceedings of the Graphical Models for Security - 4th International Workshop, 2017

2016

Probabilistic Programming for Malware Analysis.

Brian E. Ruttenberg, Lee Kellogg, Avi Pfeffer

CoRR, 2016

Structured Factored Inference: A Framework for Automated Reasoning in Probabilistic Programming Languages.

Avi Pfeffer, Brian E. Ruttenberg, William Kretschmer

CoRR, 2016

2015

Lazy Factored Inference for Functional Probabilistic Programming.

Avi Pfeffer, Brian E. Ruttenberg, Amy Sliva, Michael Howard, Glenn Takata

CoRR, 2015

Reasoning on resident space object hierarchies using probabilistic programming.

Brian E. Ruttenberg, Matthew P. Wilkins, Avi Pfeffer

Proceedings of the 18th International Conference on Information Fusion, 2015

2014

Decision-Making with Complex Data Structures using Probabilistic Programming.

Brian E. Ruttenberg, Avi Pfeffer

CoRR, 2014

Identifying Shared Software Components to Support Malware Forensics.

Brian E. Ruttenberg, Craig Miles, Lee Kellogg, Vivek Notani, Michael Howard, Charles LeDoux, Arun Lakhotia, Avi Pfeffer

Proceedings of the Detection of Intrusions and Malware, and Vulnerability Assessment, 2014

Hierarchical management of large-scale malware data.

Lee Kellogg, Brian E. Ruttenberg, Alison O'Connor, Michael Howard, Avi Pfeffer

Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

Hierarchical Reasoning with Probabilistic Programming.

Brian E. Ruttenberg, Matthew P. Wilkins, Avi Pfeffer

Proceedings of the Statistical Relational Artificial Intelligence, 2014

2013

Quantifying spatial relationships from whole retinal images.

Brian E. Ruttenberg, Gabriel Luna, Geoffrey P. Lewis, Steven K. Fisher, Ambuj K. Singh

Bioinform., 2013

2012

A Latent Parameter Node-Centric Model for Spatial Networks

Nicholas D. Larusso, Brian E. Ruttenberg, Ambuj K. Singh

CoRR, 2012

2011

Indexing the Earth Mover's Distance Using Normal Distributions.

Brian E. Ruttenberg, Ambuj K. Singh

Proc. VLDB Endow., 2011

Interactive visualization of retinal astrocyte images.

Panuakdet Suwannatat, Gabriel Luna, Brian E. Ruttenberg, R. Raviv, Geoffrey P. Lewis, Steven K. Fisher, Tobias Höllerer

Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011