Logical neural networks R Riegel, A Gray, F Luus, N Khan, N Makondo, IY Akhalwaya, H Qian, ... arXiv preprint arXiv:2006.13155, 2020 | 180 | 2020 |
Leveraging abstract meaning representation for knowledge base question answering P Kapanipathi, I Abdelaziz, S Ravishankar, S Roukos, A Gray, R Astudillo, ... arXiv preprint arXiv:2012.01707, 2020 | 141* | 2020 |
Active learning with tensorboard projector F Luus, N Khan, I Akhalwaya arXiv preprint arXiv:1901.00675, 2019 | 17 | 2019 |
Logical neural networks (2020) R Riegel, A Gray, F Luus, N Khan, N Makondo, IY Akhalwaya, H Qian, ... arXiv preprint arXiv:2006.13155, 2006 | 13 | 2006 |
Training logical neural networks by primal–dual methods for neuro-symbolic reasoning S Lu, N Khan, IY Akhalwaya, R Riegel, L Horesh, A Gray ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 7 | 2021 |
First-order logical neural networks with bidirectional inference RN Riegel, FP Luus, IY Akhalwaya, NA Khan, N Makondo, F Barahona, ... US Patent 12,045,319, 2024 | 6 | 2024 |
Logical neural networks, CoRR abs/2006.13155 (2020) R Riegel, AG Gray, FPS Luus, N Khan, N Makondo, IY Akhalwaya, H Qian, ... URL: https://arxiv. org/abs/2006 13155, 2020 | 6 | 2020 |
Who Needs These Operators Anyway: Top Quality Planning with Operator Subset Criteria M Katz, S Sohrabi Proceedings of the International Conference on Automated Planning and …, 2022 | 5 | 2022 |
Controlling conference call dial-ins and holding queues NA Khan, K Weldemariam, S Assefa US Patent App. 16/733,532, 2021 | 5 | 2021 |
Media stream delivery AD Gritzman, T Kurien, NA Khan, IY Akhalwaya, K Weldemariam US Patent 11,496,802, 2022 | 4 | 2022 |
Dynamic caregiver support NA Khan, O Bent, A Walcott, K Weldemariam US Patent App. 16/699,088, 2021 | 4 | 2021 |
System and method for facilitating safe handling of a physical medium of financial exchange T Kurien, AD Gritzman, IY Akhalwaya, N Khan US Patent App. 16/197,433, 2020 | 4 | 2020 |
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 |
A Neuro-Symbolic Approach to Multi-Agent RL for Interpretability and Probabilistic Decision Making C Subramanian, M Liu, N Khan, J Lenchner, A Amarnath, S Swaminathan, ... arXiv preprint arXiv:2402.13440, 2024 | 2 | 2024 |
Generation of representative data to preserve membership privacy FP Luus, NA Khan, N Makondo, EE Vos, IY Akhalwaya US Patent 11,803,657, 2023 | 2 | 2023 |
Interactive Supervision with t-SNE F Luus, N Khan, I Akhalwaya Proceedings Of The 10th International Conference On Knowledge Capture, 85-92, 2019 | 2 | 2019 |
Cognitive-Assisted Interactive Labeling of Skin Lesions and Blood Cells F Luus, I Akhalwaya, N Khan 2018 17th IEEE International Conference on Machine Learning and Applications …, 2018 | 2 | 2018 |
Generative ontology learning and natural language processing with predictive language models FP Luus, EE Vos, N Makondo, NA Khan, IY Akhalwaya US Patent 11,934,441, 2024 | 1 | 2024 |
Machine learning models of livestock value chain NA Khan, J Mutahi, L Ter-Minassian, FP Luus, IY Akhalwaya, ... US Patent 11,475,379, 2022 | 1 | 2022 |
Contextual hashtag generator C Cintas, NA Khan, K Weldemariam US Patent 11,436,508, 2022 | 1 | 2022 |