Guy Van den Broeck
Orcid: 0000-0003-3434-2503Affiliations:
- University of California, Los Angeles, Computer Science Department
According to our database1,
Guy Van den Broeck
authored at least 152 papers
between 2009 and 2024.
Collaborative distances:
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Timeline
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Bibliography
2024
CoRR, 2024
Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models.
CoRR, 2024
2023
Proceedings of the Compendium of Neurosymbolic Artificial Intelligence, 2023
Dagstuhl Reports, 2023
Expressive Modeling Is Insufficient for Offline RL: A Tractable Inference Perspective.
CoRR, 2023
Proceedings of the Uncertainty in Artificial Intelligence, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the International Conference on Machine Learning, 2023
Understanding the Distillation Process from Deep Generative Models to Tractable Probabilistic Circuits.
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Strudel: A fast and accurate learner of structured-decomposable probabilistic circuits.
Int. J. Approx. Reason., 2022
Proceedings of the Uncertainty in Artificial Intelligence, 2022
Proceedings of the Research in Computational Molecular Biology, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
CoRR, 2021
CoRR, 2021
Leveraging Unlabeled Data for Entity-Relation Extraction through Probabilistic Constraint Satisfaction.
CoRR, 2021
A Compositional Atlas of Tractable Circuit Operations: From Simple Transformations to Complex Information-Theoretic Queries.
CoRR, 2021
Artif. Intell., 2021
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
From Probabilistic Circuits to Probabilistic Programs and Back.
Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021
Proceedings of the Computer Aided Verification - 33rd International Conference, 2021
Proceedings of the ASPLOS '21: 26th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Proc. ACM Program. Lang., 2020
Entropy, 2020
Dagstuhl Reports, 2020
On the Relationship Between Probabilistic Circuits and Determinantal Point Processes.
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020
Symbolic Querying of Vector Spaces: Probabilistic Databases Meets Relational Embeddings.
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020
Proceedings of the International Conference on Probabilistic Graphical Models, 2020
Probabilistic Inference with Algebraic Constraints: Theoretical Limits and Practical Approximations.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020
Scaling up Hybrid Probabilistic Inference with Logical and Arithmetic Constraints via Message Passing.
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 4th Conference on Robot Learning, 2020
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020
Learning Fair Naive Bayes Classifiers by Discovering and Eliminating Discrimination Patterns.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
CoRR, 2019
Hybrid Probabilistic Inference with Logical Constraints: Tractability and Message Passing.
CoRR, 2019
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
On Hardware-Aware Probabilistic Frameworks for Resource Constrained Embedded Applications.
Proceedings of the Fifth Workshop on Energy Efficient Machine Learning and Cognitive Computing, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
What to Expect of Classifiers? Reasoning about Logistic Regression with Missing Features.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the 41st International Conference on Software Engineering, 2019
Proceedings of the 1st Conference on Automated Knowledge Base Construction, 2019
Proceedings of the 1st Conference on Automated Knowledge Base Construction, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
2017
CoRR, 2017
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Combining Stochastic Constraint Optimization and Probabilistic Programming - From Knowledge Compilation to Constraint Solving.
Proceedings of the Principles and Practice of Constraint Programming, 2017
Coded machine learning: Joint informed replication and learning for linear regression.
Proceedings of the 55th Annual Allerton Conference on Communication, 2017
2016
Int. J. Approx. Reason., 2016
Artif. Intell., 2016
Proceedings of the 8th USENIX Workshop on the Theory and Practice of Provenance, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Fifteenth International Conference, 2016
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
Hashing-Based Approximate Probabilistic Inference in Hybrid Domains: An Abridged Report.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
Proceedings of the 29th International Workshop on Description Logics, 2016
Proceedings of the 54th Annual Allerton Conference on Communication, 2016
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2015
Inference and learning in probabilistic logic programs using weighted Boolean formulas.
Theory Pract. Log. Program., 2015
Theory Pract. Log. Program., 2015
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015
Proceedings of the 34th ACM Symposium on Principles of Database Systems, 2015
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
Tractable Learning for Structured Probability Spaces: A Case Study in Learning Preference Distributions.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
Proceedings of the 9th Alberto Mendelzon International Workshop on Foundations of Data Management, Lima, Peru, May 6, 2015
Proceedings of the 2015 AAAI Spring Symposia, 2015
Proceedings of the 2015 AAAI Spring Symposia, 2015
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
IEEE Data Eng. Bull., 2014
CoRR, 2014
Understanding the Complexity of Lifted Inference and Asymmetric Weighted Model Counting.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014
Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Fourteenth International Conference, 2014
Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Fourteenth International Conference, 2014
Proceedings of the Statistical Relational Artificial Intelligence, 2014
Proceedings of the Statistical Relational Artificial Intelligence, 2014
Tractability through Exchangeability: A New Perspective on Efficient Probabilistic Inference.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
2013
Lifted Inference and Learning in Statistical Relational Models (Eerste-orde inferentie en leren in statistische relationele modellen).
PhD thesis, 2013
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013
Proceedings of the Statistical Relational Artificial Intelligence, 2013
Proceedings of the Statistical Relational Artificial Intelligence, 2013
Proceedings of the Statistical Relational Artificial Intelligence, 2013
2012
Lifted Relax, Compensate and then Recover: From Approximate to Exact Lifted Probabilistic Inference.
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012
Proceedings of the 2nd International Workshop on Statistical Relational AI (StaRAI-12), 2012
Proceedings of the 2nd International Workshop on Statistical Relational AI (StaRAI-12), 2012
Conditioning in First-Order Knowledge Compilation and Lifted Probabilistic Inference.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012
2011
Proceedings of the UAI 2011, 2011
On the Completeness of First-Order Knowledge Compilation for Lifted Probabilistic Inference.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
Proceedings of the Latest Advances in Inductive Logic Programming, 2011
Proceedings of the IJCAI 2011, 2011
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011
2010
Proceedings of the Statistical Relational Artificial Intelligence, 2010
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010
2009
Proceedings of the Advances in Machine Learning, 2009