3 papers
cond-mat.dis-nn2020
Machine learning in physics: The pitfalls of poisoned training sets
Chao Fang, Amin Barzegar, Helmut G. Katzgraber
Known for their ability to identify hidden patterns in data, artificial neural networks are among the most powerful machine learning tools. Most notably, neural networks have playe…
cs.DS2018
NAE-SAT-based probabilistic membership filters
Chao Fang, Zheng Zhu, Helmut G. Katzgraber
Probabilistic membership filters are a type of data structure designed to quickly verify whether an element of a large data set belongs to a subset of the data. While false negativ…
physics.comp-ph2016
borealis - A generalized global update algorithm for Boolean optimization problems
Zheng Zhu, Chao Fang, Helmut G. Katzgraber
Optimization problems with Boolean variables that fall into the nondeterministic polynomial (NP) class are of fundamental importance in computer science, mathematics, physics and i…