Logic embeddings for complex query answering F Luus, P Sen, P Kapanipathi, R Riegel, N Makondo, T Lebese, A Gray arXiv preprint arXiv:2103.00418, 2021 | 28 | 2021 |
The use of Generative Adversarial Networks to characterise new physics in multi-lepton final states at the LHC T Lebese, X Ruan arXiv preprint arXiv:2105.14933, 2021 | 9 | 2021 |
Proof Extraction for Logical Neural Networks T Lebese, N Makondo, C Cornelio, N Khan Advances in Programming Languages and Neurosymbolic Systems Workshop, 2021 | 3 | 2021 |
Unsupervised Representation Learning in Multivariate Time Series with Simulated Data T Lebese, C Mattrand, D Clair, JM Bourinet 2023 Prognostics and Health Management Conference (PHM), 217-225, 2023 | 1 | 2023 |
Unsupervised Representation Learning for Smart Transportation T Lebese, C Mattrand, D Clair, JM Bourinet, F Deheeger International Symposium on Intelligent Data Analysis, 15-27, 2024 | | 2024 |
DETECTING AND CORRECTING KNOWLEDGE BASE ERRORS N Makondo, FP Luus, NA Khan, IY Akhalwaya, RN Riegel, OH Moloko, ... US Patent App. 17/807,909, 2023 | | 2023 |
LOGIC EMBEDDINGS FOR COMPLEX QUERY ANSWERING FP Luus, P Sen, RN Riegel, N Makondo, TD Lebese, NA Khan, ... US Patent App. 17/488,226, 2023 | | 2023 |
On The Air Traffic Flow Management Rerouting Problem (ATFMRP) AS Alochukwu, A Mgudlwa, A Nanyanzi, A Tajudeen, F Getachew, ... | | 2016 |