6 citations · 14 across the 3 of their papers we have counts for
4 papers
Generative Deep Learning Techniques for Password Generation
David Biesner, Kostadin Cvejoski, Bogdan Georgiev +2
Password guessing approaches via deep learning have recently been investigated with significant breakthroughs in their ability to generate novel, realistic password candidates. In…
NLPGym -- A toolkit for evaluating RL agents on Natural Language Processing Tasks
Rajkumar Ramamurthy, Rafet Sifa, Christian Bauckhage
Reinforcement learning (RL) has recently shown impressive performance in complex game AI and robotics tasks. To a large extent, this is thanks to the availability of simulated envi…
Adiabatic Quantum Computing for Binary Clustering
Christian Bauckhage, Eduardo Brito, Kostadin Cvejoski +3
Quantum computing for machine learning attracts increasing attention and recent technological developments suggest that especially adiabatic quantum computing may soon be of practi…
Rapid Prediction of Player Retention in Free-to-Play Mobile Games
Anders Drachen, Eric Thurston Lundquist, Yungjen Kung +4
Predicting and improving player retention is crucial to the success of mobile Free-to-Play games. This paper explores the problem of rapid retention prediction in this context. Heu…