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Guy Van den Broeck

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Kareem Ahmed

> Home > Persons > Guy Van den Broeck

Publications

2023
[c113]
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  - conf/aistats/AhmedCB23
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  - https://dblp.org/rec/conf/aistats/AhmedCB23
Kareem Ahmed, Kai-Wei Chang, Guy Van den Broeck:
Semantic Strengthening of Neuro-Symbolic Learning. AISTATS 2023: 10252-10261
[c111]
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  - conf/iclr/AhmedZNB23
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Kareem Ahmed, Zhe Zeng, Mathias Niepert, Guy Van den Broeck:
SIMPLE: A Gradient Estimator for k-Subset Sampling. ICLR 2023
[c106]
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  - conf/nesy/AhmedTCBV23
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Kareem Ahmed, Stefano Teso, Kai-Wei Chang, Guy Van den Broeck, Antonio Vergari:
Semantic Probabilistic Layers for Neuro-Symbolic Learning. NeSy 2023: 413
[c105]
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Kareem Ahmed, Kai-Wei Chang, Guy Van den Broeck:
A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraints. NeurIPS 2023
[c104]
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  - conf/nips/ShuklaZAB23
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Vinay Shukla, Zhe Zeng, Kareem Ahmed, Guy Van den Broeck:
A Unified Approach to Count-Based Weakly Supervised Learning. NeurIPS 2023
[p1]
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  dblp key:
  - series/faia/AhmedTMLAGLWCPB23
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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
[i77]
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  - journals/corr/abs-2302-14207
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Kareem Ahmed, Kai-Wei Chang, Guy Van den Broeck:
Semantic Strengthening of Neuro-Symbolic Learning. CoRR abs/2302.14207 (2023)
[i73]
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  - journals/corr/abs-2310-02156
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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)
[i70]
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  - journals/corr/abs-2311-13718
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Vinay Shukla, Zhe Zeng, Kareem Ahmed, Guy Van den Broeck:
A Unified Approach to Count-Based Weakly-Supervised Learning. CoRR abs/2311.13718 (2023)
[i69]
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  - journals/corr/abs-2312-03905
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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
[c101]
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  - conf/aaai/AhmedLTGCKSB022
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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
[c98]
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  - conf/nips/AhmedTCBV22
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Kareem Ahmed, Stefano Teso, Kai-Wei Chang, Guy Van den Broeck, Antonio Vergari:
Semantic Probabilistic Layers for Neuro-Symbolic Learning. NeurIPS 2022
[c95]
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  - conf/uai/AhmedWCB22
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Kareem Ahmed, Eric Wang, Kai-Wei Chang, Guy Van den Broeck:
Neuro-symbolic entropy regularization. UAI 2022: 43-53
[i66]
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  dblp key:
  - journals/corr/abs-2201-11250
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Kareem Ahmed, Eric Wang, Kai-Wei Chang, Guy Van den Broeck:
Neuro-Symbolic Entropy Regularization. CoRR abs/2201.11250 (2022)
[i64]
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  - journals/corr/abs-2206-00426
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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)
[i63]
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  - journals/corr/abs-2210-01941
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Kareem Ahmed, Zhe Zeng, Mathias Niepert, Guy Van den Broeck:
SIMPLE: A Gradient Estimator for k-Subset Sampling. CoRR abs/2210.01941 (2022)
2021
[c86]
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  - conf/nips/Ahmed0TGCKSB021
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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
[i56]
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  - journals/corr/abs-2103-11062
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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)

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