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Journal Articles
- 2013
[j2]Brian E. Ruttenberg, Gabriel Luna, Geoffrey P. Lewis, Steven K. Fisher, Ambuj K. Singh:
Quantifying spatial relationships from whole retinal images. Bioinform. 29(7): 940-946 (2013)- 2011
- [j1]Brian E. Ruttenberg, Ambuj K. Singh:
Indexing the Earth Mover's Distance Using Normal Distributions. Proc. VLDB Endow. 5(3): 205-216 (2011)
Conference and Workshop Papers
- 2018
- [c7]Avi Pfeffer, Brian E. Ruttenberg, William Kretschmer, Alison O'Connor:
Structured Factored Inference for Probabilistic Programming. AISTATS 2018: 1224-1232 - 2017
- [c6]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: 91-98 - 2015
- [c5]Brian E. Ruttenberg, Matthew P. Wilkins, Avi Pfeffer:
Reasoning on resident space object hierarchies using probabilistic programming. FUSION 2015: 1315-1321 - 2014
- [c4]Brian E. Ruttenberg, Matthew P. Wilkins, Avi Pfeffer:
Hierarchical Reasoning with Probabilistic Programming. StarAI@AAAI 2014 - [c3]Lee Kellogg, Brian E. Ruttenberg, Alison O'Connor, Michael Howard, Avi Pfeffer:
Hierarchical management of large-scale malware data. IEEE BigData 2014: 666-674 - [c2]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: 21-40 - 2011
- [c1]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: 242-245
Informal and Other Publications
- 2018
- [i8]Michael Harradon, Jeff Druce, Brian E. Ruttenberg:
Causal Learning and Explanation of Deep Neural Networks via Autoencoded Activations. CoRR abs/1802.00541 (2018) - 2017
- [i7]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 abs/1704.08716 (2017) - 2016
- [i6]Brian E. Ruttenberg, Lee Kellogg, Avi Pfeffer:
Probabilistic Programming for Malware Analysis. CoRR abs/1603.08379 (2016) - [i5]Avi Pfeffer, Brian E. Ruttenberg, William Kretschmer:
Structured Factored Inference: A Framework for Automated Reasoning in Probabilistic Programming Languages. CoRR abs/1606.03298 (2016) - 2015
- [i4]Avi Pfeffer, Brian E. Ruttenberg, Amy Sliva, Michael Howard, Glenn Takata:
Lazy Factored Inference for Functional Probabilistic Programming. CoRR abs/1509.03564 (2015) - 2014
- [i3]Brian E. Ruttenberg, Avi Pfeffer:
Decision-Making with Complex Data Structures using Probabilistic Programming. CoRR abs/1407.3208 (2014) - 2012
- [i2]Nicholas D. Larusso, Brian E. Ruttenberg, Ambuj K. Singh:
A Latent Parameter Node-Centric Model for Spatial Networks. CoRR abs/1210.4246 (2012) - 2011
- [i1]Brian E. Ruttenberg, Ambuj K. Singh:
Indexing the Earth Mover's Distance Using Normal Distributions. CoRR abs/1111.7168 (2011)
Coauthor Index
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