Ryan R. Curtin
Ryan R. Curtin
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Cited by
Cited by
Detecting Adversarial Samples from Artifacts
R Feinman, RR Curtin, S Shintre, AB Gardner
arXiv preprint arXiv:1703.00410, 2017
Armadillo: a template-based C++ library for linear algebra
C Sanderson, RR Curtin
Journal of Open Source Software 1 (26), 1--2, 2016
MLPACK: A Scalable C++ Machine Learning Library
RR Curtin, JR Cline, NP Slagle, WB March, P Ram, NA Mehta, AG Gray
Journal of Machine Learning Research 14, 801-805, 2013
A User-Friendly Hybrid Sparse Matrix Class in C++
C Sanderson, R Curtin
The 2018 International Congress on Mathematical Software (ICMS 2018), 2018
mlpack 3: a fast, flexible machine learning library
RR Curtin, M Edel, M Lozhnikov, Y Mentekidis, S Ghaisas, S Zhang
Journal of Open Source Software 3 (26), 726, 2018
Detecting DGA domains with recurrent neural networks and side information
RR Curtin, AB Gardner, S Grzonkowski, A Kleymenov, A Mosquera
ARES 2019, 2019
Fast Exact Max-Kernel Search
RR Curtin, P Ram, AG Gray
Proceedings of the 2013 SIAM International Conference on Data Mining (SDM …, 2012
Tree-Independent Dual-Tree Algorithms
RR Curtin, WB March, P Ram, DV Anderson, AG Gray, CL Isbell Jr
Proceedings of The 30th International Conference on Machine Learning (ICML …, 2013
Armadillo: C++ linear algebra library
C Sanderson, R Curtin, I Cullinan, D Bouzas, S Funiak, 2014
Dual-Tree Fast Exact Max-Kernel Search
RR Curtin, P Ram
Statistical Analysis and Data Mining 7, 229-253, 2014
Functional Aggregate Queries with Additive Inequalities
MA Khamis, RR Curtin, B Moseley, HQ Ngo, X Nguyen, D Olteanu, ...
ACM Transactions on Database Systems (TODS) 45 (4), 1-41, 2020
Practical Sparse Matrices in C++ with Hybrid Storage and Template-Based Expression Optimisation
C Sanderson, R Curtin
Mathematical and Computational Applications 24 (3), 70, 2019
A Dual-Tree Algorithm for Fast k-means Clustering With Large k
RR Curtin
SIAM International Conference on Data Mining (SDM '17), 2017
Plug-and-play dual-tree algorithm runtime analysis
RR Curtin, D Lee, WB March, P Ram
Journal of Machine Learning Research 16, 3269-3297, 2015
Faster dual-tree traversal for nearest neighbor search
RR Curtin
International Conference on Similarity Search and Applications (SISAP 2015 …, 2015
An Automatic Benchmarking System
M Edel, A Soni, RR Curtin
NIPS 2014 Workshop on Software Engineering for Machine Learning, 2014
Rk-means: Fast Clustering for Relational Data
R Curtin, B Moseley, HQ Ngo, XL Nguyen, D Olteanu, M Schleich
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
An Open Source C++ Implementation of Multi-Threaded Gaussian Mixture Models, k-Means and Expectation Maximisation
C Sanderson, R Curtin
11th International Conference on Signal Processing and Communication Systems …, 2017
Fast approximate furthest neighbors with data-dependent candidate selection
RR Curtin, AB Gardner
International Conference on Similarity Search and Applications 2016 (SISAP …, 2016
ensmallen: a flexible C++ library for efficient function optimization
S Bhardwaj, RR Curtin, M Edel, Y Mentekidis, C Sanderson
arXiv preprint arXiv:1810.09361, 2018
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