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Kareem Ahmed
Kareem Ahmed
CS PhD Student at UCLA
Verified email at cs.ucla.edu
Title
Cited by
Cited by
Year
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
642022
Neuro-symbolic entropy regularization
K Ahmed, E Wang, KW Chang, G Van den Broeck
Uncertainty in Artificial Intelligence, 43-53, 2022
252022
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
242022
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
242022
SIMPLE: A Gradient Estimator for -Subset Sampling
K Ahmed, Z Zeng, M Niepert, GV Broeck
The Eleventh International Conference on Learning Representations, 2023
162023
Semantic strengthening of neuro-symbolic learning
K Ahmed, KW Chang, G Van den Broeck
International Conference on Artificial Intelligence and Statistics, 10252-10261, 2023
152023
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
52023
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
32024
A pseudo-semantic loss for deep generative models with logical constraints
K Ahmed, KW Chang, G Van den Broeck
Knowledge and Logical Reasoning in the Era of Data-driven Learning Workshop, 2023
32023
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
22024
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
12023
Scaling Tractable Probabilistic Circuits: A Systems Perspective
A Liu, K Ahmed, GV Broeck
arXiv preprint arXiv:2406.00766, 2024
2024
Neuro-Symbolic AI: A Probabilistic Perspective
KAYA Ahmed
UCLA, 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
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