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03/20/2023
MAQA: A Quantum Framework for Supervised Learning
Quantum Machine Learning has the potential to improve traditional machin...
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03/09/2023
Quantum Splines for Non-Linear Approximations
Quantum Computing offers a new paradigm for efficient computing and many...
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03/08/2023
Enabling Non-Linear Quantum Operations through Variational Quantum Splines
The postulates of quantum mechanics impose only unitary transformations ...
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07/17/2020
Self-Supervised Bernoulli Autoencoders for Semi-Supervised Hashing
Semantic hashing is an emerging technique for large-scale similarity sea...
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07/02/2020
Quantum Ensemble for Classification
A powerful way to improve performance in machine learning is to construc...
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10/24/2015
Fast and Scalable Lasso via Stochastic Frank-Wolfe Methods with a Convergence Guarantee
Frank-Wolfe (FW) algorithms have been often proposed over the last few y...
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04/03/2013
A Novel Frank-Wolfe Algorithm. Analysis and Applications to Large-Scale SVM Training
Recently, there has been a renewed interest in the machine learning comm...
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12/04/2012