21 citations · 28 across the 7 of their papers we have counts for
8 papers
Discovering group dynamics in coordinated time series via hierarchical recurrent switching-state models
Michael T. Wojnowicz, Kaitlin Gili, Preetish Rath +7
We seek a computationally efficient model for a collection of time series arising from multiple interacting entities (a.k.a. "agents"). Recent models of temporal patterns across in…
Easy Variational Inference for Categorical Models via an Independent Binary Approximation
Michael T. Wojnowicz, Shuchin Aeron, Eric L. Miller +1
We pursue tractable Bayesian analysis of generalized linear models (GLMs) for categorical data. Thus far, GLMs are difficult to scale to more than a few dozen categories due to non…
PROPS: Probabilistic personalization of black-box sequence models
Michael Thomas Wojnowicz, Xuan Zhao
We present PROPS, a lightweight transfer learning mechanism for sequential data. PROPS learns probabilistic perturbations around the predictions of one or more arbitrarily complex,…
Projecting "better than randomly": How to reduce the dimensionality of very large datasets in a way that outperforms random projections
Michael Wojnowicz, Di Zhang, Glenn Chisholm +2
For very large datasets, random projections (RP) have become the tool of choice for dimensionality reduction. This is due to the computational complexity of principal component ana…
Towards Generic Deobfuscation of Windows API Calls
Vadim Kotov, Michael Wojnowicz
A common way to get insight into a malicious program's functionality is to look at which API functions it calls. To complicate the reverse engineering of their programs, malware au…
Lazy stochastic principal component analysis
Michael Wojnowicz, Dinh Nguyen, Li Li +1
Stochastic principal component analysis (SPCA) has become a popular dimensionality reduction strategy for large, high-dimensional datasets. We derive a simplified algorithm, called…
"Influence Sketching": Finding Influential Samples In Large-Scale Regressions
Mike Wojnowicz, Ben Cruz, Xuan Zhao +4
There is an especially strong need in modern large-scale data analysis to prioritize samples for manual inspection. For example, the inspection could target important mislabeled sa…
Wavelet decomposition of software entropy reveals symptoms of malicious code
Michael Wojnowicz, Glenn Chisholm, Matt Wolff +1
Sophisticated malware authors can sneak hidden malicious code into portable executable files, and this code can be hard to detect, especially if encrypted or compressed. However, w…