Kareem Ahmed
11 papers · 2022–2025 · 7 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (27) π Conference Polyglot Β· Silver π€ Dynamic Duo (11) π Grand Slam
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The Questioner
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Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(10)
Artificial Intelligence
(6)
Deep Learning
(6)
Optimization & Theory
(6)
Core AI
(5)
Learning Types Β· Machine Learning
(5)
Models
(3)
Natural Language Processing
(2)
Architectures
(2)
Bayesian & Probabilistic
(2)
Core Methods
(2)
Generation
(2)
Learning Types Β· Deep Learning
(2)
Application Areas
(1)
Resources & Methods
(1)
Keywords
neuro-symbolic learning
(4)
autoregressive model
(3)
constraint satisfaction
(2)
marginal probability
(2)
logical constraint
(2)
probabilistic inference
(2)
weakly supervised learning
(1)
constrained generation
(1)
probabilistic modeling
(1)
entropy regularization
(1)
structured output prediction
(1)
gpu implementation
(1)
graph structure learning
(1)
probabilistic sampling
(1)
state space model
(1)
mutual information
(1)
sparse model
(1)
knowledge graph
(1)
probability estimation
(1)
structured prediction
(1)
Papers
Controllable Generation via Locally Constrained Resampling
ICLR 2025
Probabilistically Rewired Message-Passing Neural Networks
ICLR 2024
Scaling Tractable Probabilistic Circuits: A Systems Perspective
ICML 2024
Where is the signal in tokenization space?
EMNLP 2024
A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraints
NeurIPS 2023
A Unified Approach to Count-Based Weakly Supervised Learning
NeurIPS 2023
Semantic Strengthening of Neuro-Symbolic Learning
AISTATS 2023
SIMPLE: A Gradient Estimator for k-Subset Sampling
ICLR 2023
Neuro-symbolic entropy regularization
UAI 2022
PYLON: A PyTorch Framework for Learning with Constraints
AAAI 2022
Semantic Probabilistic Layers for Neuro-Symbolic Learning
NeurIPS 2022