Kareem Ahmed

36 papers A* 9A 2C 1Journal 21Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Entropy-Aligned Decoding of LMs for Better Writing and Reasoning.
CoRR
Kareem Ahmed, Sameer Singh
2025 A* conf
Controllable Generation via Locally Constrained Resampling.
ICLR
Kareem Ahmed, Kai-Wei Chang, Guy Van den Broeck
2025 J jnl
Semantic Probabilistic Control of Language Models.
CoRR
Kareem Ahmed, Catarina G. Belém, Padhraic Smyth, Sameer Singh
2024 J jnl
Advances in ECG and PCG-based cardiovascular disease classification: a review of deep learning and machine learning methods.
J. Big Data
Asmaa Ameen, Ibrahim Eldesouky Fattoh, Tarek Abd El-Hafeez, Kareem Ahmed
2024 J jnl
Controllable Generation via Locally Constrained Resampling.
CoRR
Kareem Ahmed, Kai-Wei Chang, Guy Van den Broeck
2024 A* conf
Probabilistically Rewired Message-Passing Neural Networks.
ICLR
Chendi Qian, Andrei Manolache, Kareem Ahmed, Zhe Zeng, Guy Van den Broeck, Mathias Niepert, Christopher Morris
2024 A* conf
Scaling Tractable Probabilistic Circuits: A Systems Perspective.
ICML
Anji Liu, Kareem Ahmed, Guy Van den Broeck
2024 J jnl
Scaling Tractable Probabilistic Circuits: A Systems Perspective.
CoRR
Anji Liu, Kareem Ahmed, Guy Van den Broeck
2024 J jnl
Semantic Loss Functions for Neuro-Symbolic Structured Prediction.
CoRR
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
2024 J jnl
Snake species classification using deep learning techniques.
Multim. Tools Appl.
Kareem Ahmed, Mai A. Gad, Amal Elsayed Aboutabl
2024 A* conf
Where is the signal in tokenization space?
EMNLP
Renato Lui Geh, Honghua Zhang, Kareem Ahmed, Benjie Wang, Guy Van den Broeck
2024 J jnl
Where is the signal in tokenization space?
CoRR
Renato Lui Geh, Honghua Zhang, Kareem Ahmed, Benjie Wang, Guy Van den Broeck
2023 A* conf
A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraints.
NeurIPS
Kareem Ahmed, Kai-Wei Chang, Guy Van den Broeck
2023 J jnl
A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraints.
CoRR
Kareem Ahmed, Kai-Wei Chang, Guy Van den Broeck
2023 A* conf
A Unified Approach to Count-Based Weakly Supervised Learning.
NeurIPS
Vinay Shukla, Zhe Zeng, Kareem Ahmed, Guy Van den Broeck
2023 J jnl
A Unified Approach to Count-Based Weakly-Supervised Learning.
CoRR
Vinay Shukla, Zhe Zeng, Kareem Ahmed, Guy Van den Broeck
2023 J jnl
Probabilistically Rewired Message-Passing Neural Networks.
CoRR
Chendi Qian, Andrei Manolache, Kareem Ahmed, Zhe Zeng, Guy Van den Broeck, Mathias Niepert, Christopher Morris
2023 A* conf
SIMPLE: A Gradient Estimator for k-Subset Sampling.
ICLR
Kareem Ahmed, Zhe Zeng, Mathias Niepert, Guy Van den Broeck
2023 — ch.
Semantic Loss Functions for Neuro-Symbolic Structured Prediction.
Compendium of Neurosymbolic Artificial Intelligence
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
2023 C conf
Semantic Probabilistic Layers for Neuro-Symbolic Learning.
NeSy
Kareem Ahmed, Stefano Teso, Kai-Wei Chang, Guy Van den Broeck, Antonio Vergari
2023 A conf
Semantic Strengthening of Neuro-Symbolic Learning.
AISTATS
Kareem Ahmed, Kai-Wei Chang, Guy Van den Broeck
2023 J jnl
Semantic Strengthening of Neuro-Symbolic Learning.
CoRR
Kareem Ahmed, Kai-Wei Chang, Guy Van den Broeck
2022 J jnl
A New Chaotic-Based RGB Image Encryption Technique Using a Nonlinear Rotational 16 × 16 DNA Playfair Matrix.
Cryptogr.
Dina Ibrahim, Kareem Ahmed, Mohamed Abdallah, Abdelmgeid A. Ali
2022 J jnl
Neuro-Symbolic Entropy Regularization.
CoRR
Kareem Ahmed, Eric Wang, Kai-Wei Chang, Guy Van den Broeck
2022 A conf
Neuro-symbolic entropy regularization.
UAI
Kareem Ahmed, Eric Wang, Kai-Wei Chang, Guy Van den Broeck
2022 A* conf
PYLON: A PyTorch Framework for Learning with Constraints.
AAAI
Kareem Ahmed, Tao Li, Thy Ton, Quan Guo, Kai-Wei Chang, Parisa Kordjamshidi, Vivek Srikumar, Guy Van den Broeck, Sameer Singh
2022 J jnl
Performance Evaluation of Infrared Image Enhancement Techniques.
CoRR
Rania Gaber, AbdElmgied Ali, Kareem Ahmed
2022 J jnl
Performance evaluation of salient object detection techniques.
Multim. Tools Appl.
Kareem Ahmed, Mai A. Gad, Amal Elsayed Aboutabl
2022 J jnl
SIMPLE: A Gradient Estimator for k-Subset Sampling.
CoRR
Kareem Ahmed, Zhe Zeng, Mathias Niepert, Guy Van den Broeck
2022 A* conf
Semantic Probabilistic Layers for Neuro-Symbolic Learning.
NeurIPS
Kareem Ahmed, Stefano Teso, Kai-Wei Chang, Guy Van den Broeck, Antonio Vergari
2022 J jnl
Semantic Probabilistic Layers for Neuro-Symbolic Learning.
CoRR
Kareem Ahmed, Stefano Teso, Kai-Wei Chang, Guy Van den Broeck, Antonio Vergari
2021 J jnl
Leveraging Unlabeled Data for Entity-Relation Extraction through Probabilistic Constraint Satisfaction.
CoRR
Kareem Ahmed, Eric Wang, Guy Van den Broeck, Kai-Wei Chang
2021 — conf
Pylon: A PyTorch Framework for Learning with Constraints.
NeurIPS (Competition and Demos)
Kareem Ahmed, Tao Li, Thy Ton, Quan Guo, Kai-Wei Chang, Parisa Kordjamshidi, Vivek Srikumar, Guy Van den Broeck, Sameer Singh
2018 J jnl
Action recognition using fast HOG3D of integral videos and Smith-Waterman partial matching.
IET Image Process.
Ibrahim M. El-Henawy, Kareem Ahmed, Hamdi Mahmoud
2016 J jnl
Content-Based Image Retrieval Using Multiresolution Analysis Of Shape-Based Classified Images.
CoRR
Ibrahim M. El-Henawy, Kareem Ahmed
2015 — conf
Novel Single Image deblurring Technique using Sparse representation and Discrete Radon Transform.
ICCTA
Ibrahim M. El-Henawy, A. A. Ali, Kareem Ahmed, Hadeer Adel