Semantic probabilistic layers for neuro-symbolic learning K Ahmed, S Teso, KW Chang, G Van den Broeck, A Vergari Advances in Neural Information Processing Systems 35, 29944-29959, 2022 | 51 | 2022 |
Neuro-symbolic entropy regularization K Ahmed, E Wang, KW Chang, G Van den Broeck Uncertainty in Artificial Intelligence, 43-53, 2022 | 18 | 2022 |
PYLON: A PyTorch framework for learning with constraints K Ahmed, T Li, T Ton, Q Guo, KW Chang, P Kordjamshidi, V Srikumar, ... NeurIPS 2021 Competitions and Demonstrations Track, 319-324, 2022 | 18 | 2022 |
PYLON: A PyTorch Framework for Learning with Constraints K Ahmed, T Li, T Ton, Q Guo, KW Chang, P Kordjamshidi, V Srikumar, ... Proceedings of the 36th AAAI Conference on Artificial Intelligence, 13152-13154, 2022 | 18 | 2022 |
SIMPLE: A Gradient Estimator for -Subset Sampling K Ahmed, Z Zeng, M Niepert, GV Broeck The Eleventh International Conference on Learning Representations, 2023 | 11 | 2023 |
Semantic strengthening of neuro-symbolic learning K Ahmed, KW Chang, G Van den Broeck International Conference on Artificial Intelligence and Statistics, 10252-10261, 2023 | 7 | 2023 |
A pseudo-semantic loss for deep generative models with logical constraints K Ahmed, KW Chang, G Van den Broeck Advances in Neural Information Processing Systems 36 (NeurIPS), 2023 | 2 | 2023 |
A Unified Approach to Count-Based Weakly Supervised Learning V Shukla, Z Zeng, K Ahmed, G Van den Broeck Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
Probabilistically Rewired Message-Passing Neural Networks C Qian, A Manolache, K Ahmed, Z Zeng, GV Broeck, M Niepert, C Morris arXiv preprint arXiv:2310.02156, 2023 | 1 | 2023 |
Probabilistic Task-Adaptive Graph Rewiring C Qian, A Manolache, K Ahmed, Z Zeng, G Van den Broeck, M Niepert, ... ICML 2023 Workshop on Differentiable Almost Everything: Differentiable …, 2023 | 1 | 2023 |
A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraints K Ahmed, KW Chang, G Van den Broeck Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
Semantic Loss Functions for Neuro-Symbolic Structured Prediction K Ahmed, S Teso, P Morettin, L Di Liello, P Ardino, J Gobbi, Y Liang, ... Compendium of Neurosymbolic Artificial Intelligence, 485-505, 2023 | | 2023 |
Leveraging Unlabeled Data for Entity-Relation Extraction through Probabilistic Constraint Satisfaction K Ahmed, E Wang, GV Broeck, KW Chang arXiv preprint arXiv:2103.11062, 2021 | | 2021 |