563 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- DEVCOM Army Research LaboratoryUS9 papers
- University of Maryland, Baltimore CountyUS7 papers
- George Mason UniversityUS5 papers
- Physical Sciences (United States)US5 papers
- Stanford UniversityUS5 papers
- University of California, BerkeleyUS4 papers
- University of Maryland, College ParkUS4 papers
- Cornell UniversityUS3 papers
- Harvard UniversityUS3 papers
- Massachusetts Institute of TechnologyUS3 papers
- United States Naval ObservatoryUS3 papers
- Université Bourgogne Franche-ComtéFR3 papers
6 papers · 1 filter
Fair Forests: Regularized Tree Induction to Minimize Model Bias
Edward Raff, Jared Sylvester, Steven Mills
The potential lack of fairness in the outputs of machine learning algorithms has recently gained attention both within the research community as well as in society more broadly. Su…
Heterogeneous Quantum Computing for Satellite Constellation Optimization: Solving the Weighted K-Clique Problem
Gideon Bass, Casey Tomlin, Vaibhaw Kumar +2
NP-hard optimization problems scale very rapidly with problem size, becoming unsolvable with brute force methods, even with supercomputing resources. Typically, such problems have…
Inequivalent coherent state representations in group field theory
Alexander Kegeles, Daniele Oriti, Casey Tomlin
In this paper we propose an algebraic formulation of group field theory and consider non-Fock representations based on coherent states. We show that we can construct representation…
Quantum Annealing for Combinatorial Clustering
Vaibhaw Kumar, Gideon Bass, Casey Tomlin +1
Clustering is a powerful machine learning technique that groups "similar" data points based on their characteristics. Many clustering algorithms work by approximating the minimizat…
Lempel-Ziv Jaccard Distance, an Effective Alternative to Ssdeep and Sdhash
Edward Raff, Charles K. Nicholas
Recent work has proposed the Lempel-Ziv Jaccard Distance (LZJD) as a method to measure the similarity between binary byte sequences for malware classification. We propose and test…
ME R-CNN: Multi-Expert R-CNN for Object Detection
Hyungtae Lee, Sungmin Eum, Heesung Kwon
We introduce Multi-Expert Region-based Convolutional Neural Network (ME R-CNN) which is equipped with multiple experts (ME) where each expert is learned to process a certain type o…