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ORCIDKareem Ahmed
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2020 – today
- 2024
[j5]Asmaa Ameen, Ibrahim Eldesouky Fattoh, Tarek Abd El-Hafeez, Kareem Ahmed:
Advances in ECG and PCG-based cardiovascular disease classification: a review of deep learning and machine learning methods. J. Big Data 11(1): 159 (2024)- [j4]Kareem Ahmed
, Mai A. Gad, Amal Elsayed Aboutabl:
Snake species classification using deep learning techniques. Multim. Tools Appl. 83(12): 35117-35158 (2024) - [c13]Renato Lui Geh, Honghua Zhang, Kareem Ahmed, Benjie Wang, Guy Van den Broeck:
Where is the signal in tokenization space? EMNLP 2024: 3966-3979 - [c12]Chendi Qian, Andrei Manolache, Kareem Ahmed, Zhe Zeng, Guy Van den Broeck, Mathias Niepert, Christopher Morris:
Probabilistically Rewired Message-Passing Neural Networks. ICLR 2024 - [c11]Anji Liu, Kareem Ahmed, Guy Van den Broeck:
Scaling Tractable Probabilistic Circuits: A Systems Perspective. ICML 2024 - [i14]Kareem Ahmed, Stefano Teso, Paolo Morettin, Luca Di Liello, Pierfrancesco Ardino, Jacopo Gobbi, Yitao Liang, Eric Wang, Kai-Wei Chang, Andrea Passerini, Guy Van den Broeck:
Semantic Loss Functions for Neuro-Symbolic Structured Prediction. CoRR abs/2405.07387 (2024) - [i13]Anji Liu, Kareem Ahmed, Guy Van den Broeck:
Scaling Tractable Probabilistic Circuits: A Systems Perspective. CoRR abs/2406.00766 (2024) - [i12]Renato Lui Geh, Honghua Zhang, Kareem Ahmed, Benjie Wang, Guy Van den Broeck:
Where is the signal in tokenization space? CoRR abs/2408.08541 (2024) - [i11]Kareem Ahmed, Kai-Wei Chang, Guy Van den Broeck:
Controllable Generation via Locally Constrained Resampling. CoRR abs/2410.13111 (2024) - 2023
- [c10]Kareem Ahmed, Kai-Wei Chang, Guy Van den Broeck:
Semantic Strengthening of Neuro-Symbolic Learning. AISTATS 2023: 10252-10261 - [c9]Kareem Ahmed, Zhe Zeng, Mathias Niepert, Guy Van den Broeck:
SIMPLE: A Gradient Estimator for k-Subset Sampling. ICLR 2023 - [c8]Kareem Ahmed, Stefano Teso, Kai-Wei Chang, Guy Van den Broeck, Antonio Vergari:
Semantic Probabilistic Layers for Neuro-Symbolic Learning. NeSy 2023: 413 - [c7]Kareem Ahmed, Kai-Wei Chang, Guy Van den Broeck:
A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraints. NeurIPS 2023 - [c6]Vinay Shukla, Zhe Zeng, Kareem Ahmed, Guy Van den Broeck:
A Unified Approach to Count-Based Weakly Supervised Learning. NeurIPS 2023 - [p1]Kareem Ahmed, Stefano Teso, Paolo Morettin, Luca Di Liello, Pierfrancesco Ardino, Jacopo Gobbi, Yitao Liang, Eric Wang, Kai-Wei Chang, Andrea Passerini, Guy Van den Broeck:
Semantic Loss Functions for Neuro-Symbolic Structured Prediction. Compendium of Neurosymbolic Artificial Intelligence 2023: 485-505 - [i10]Kareem Ahmed, Kai-Wei Chang, Guy Van den Broeck:
Semantic Strengthening of Neuro-Symbolic Learning. CoRR abs/2302.14207 (2023) - [i9]Chendi Qian, Andrei Manolache, Kareem Ahmed, Zhe Zeng, Guy Van den Broeck, Mathias Niepert, Christopher Morris:
Probabilistically Rewired Message-Passing Neural Networks. CoRR abs/2310.02156 (2023) - [i8]Vinay Shukla, Zhe Zeng, Kareem Ahmed, Guy Van den Broeck:
A Unified Approach to Count-Based Weakly-Supervised Learning. CoRR abs/2311.13718 (2023) - [i7]Kareem Ahmed, Kai-Wei Chang, Guy Van den Broeck:
A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraints. CoRR abs/2312.03905 (2023) - 2022
- [j3]Dina Ibrahim, Kareem Ahmed, Mohamed Abdallah, Abdelmgeid A. Ali:
A New Chaotic-Based RGB Image Encryption Technique Using a Nonlinear Rotational 16 × 16 DNA Playfair Matrix. Cryptogr. 6(2): 28 (2022) - [j2]Kareem Ahmed, Mai A. Gad, Amal Elsayed Aboutabl:
Performance evaluation of salient object detection techniques. Multim. Tools Appl. 81(15): 21741-21777 (2022) - [c5]Kareem Ahmed, Tao Li, Thy Ton, Quan Guo, Kai-Wei Chang, Parisa Kordjamshidi, Vivek Srikumar, Guy Van den Broeck, Sameer Singh:
PYLON: A PyTorch Framework for Learning with Constraints. AAAI 2022: 13152-13154 - [c4]Kareem Ahmed, Stefano Teso, Kai-Wei Chang, Guy Van den Broeck, Antonio Vergari:
Semantic Probabilistic Layers for Neuro-Symbolic Learning. NeurIPS 2022 - [c3]Kareem Ahmed, Eric Wang, Kai-Wei Chang, Guy Van den Broeck:
Neuro-symbolic entropy regularization. UAI 2022: 43-53 - [i6]Kareem Ahmed, Eric Wang, Kai-Wei Chang, Guy Van den Broeck:
Neuro-Symbolic Entropy Regularization. CoRR abs/2201.11250 (2022) - [i5]Rania Gaber, AbdElmgied Ali, Kareem Ahmed:
Performance Evaluation of Infrared Image Enhancement Techniques. CoRR abs/2202.03427 (2022) - [i4]Kareem Ahmed, Stefano Teso, Kai-Wei Chang, Guy Van den Broeck, Antonio Vergari:
Semantic Probabilistic Layers for Neuro-Symbolic Learning. CoRR abs/2206.00426 (2022) - [i3]Kareem Ahmed, Zhe Zeng, Mathias Niepert, Guy Van den Broeck:
SIMPLE: A Gradient Estimator for k-Subset Sampling. CoRR abs/2210.01941 (2022) - 2021
- [c2]Kareem Ahmed, Tao Li, Thy Ton, Quan Guo, Kai-Wei Chang, Parisa Kordjamshidi, Vivek Srikumar, Guy Van den Broeck, Sameer Singh:
Pylon: A PyTorch Framework for Learning with Constraints. NeurIPS (Competition and Demos) 2021: 319-324 - [i2]Kareem Ahmed, Eric Wang, Guy Van den Broeck, Kai-Wei Chang:
Leveraging Unlabeled Data for Entity-Relation Extraction through Probabilistic Constraint Satisfaction. CoRR abs/2103.11062 (2021)
2010 – 2019
- 2018
- [j1]Ibrahim M. El-Henawy, Kareem Ahmed, Hamdi Mahmoud:
Action recognition using fast HOG3D of integral videos and Smith-Waterman partial matching. IET Image Process. 12(6): 896-908 (2018) - 2016
- [i1]Ibrahim M. El-Henawy, Kareem Ahmed:
Content-Based Image Retrieval Using Multiresolution Analysis Of Shape-Based Classified Images. CoRR abs/1610.02509 (2016) - 2015
- [c1]Ibrahim M. El-Henawy, A. A. Ali, Kareem Ahmed, Hadeer Adel:
Novel Single Image deblurring Technique using Sparse representation and Discrete Radon Transform. ICCTA 2015: 179-184
Coauthor Index
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last updated on 2024-12-01 00:13 CET by the dblp team
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