7 citations · 9 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Unsupervised Representation Learning of Complex Time Series for Maneuverability State Identification in Smart Mobility
Thabang Lebese
Multivariate Time Series (MTS) data capture temporal behaviors to provide invaluable insights into various physical dynamic phenomena. In smart mobility, MTS plays a crucial role i…
hep-ph2021★ 2 cited
The use of Generative Adversarial Networks to characterise new physics in multi-lepton final states at the LHC
Thabang Lebese, Xifeng Ruan
Semi-supervision in Machine Learning can be used in searches for new physics where the signal plus background regions are not labelled. This strongly reduces model dependency in th…
cs.AI2021★ 7 cited
Logic Embeddings for Complex Query Answering
Francois Luus, Prithviraj Sen, Pavan Kapanipathi +4
Answering logical queries over incomplete knowledge bases is challenging because: 1) it calls for implicit link prediction, and 2) brute force answering of existential first-order…