| 2026 | ACL | The Pitfalls of KV Cache Compression. | Alex Chen, Renato Lui Geh, Aditya Grover, Guy Van den Broeck, Daniel Mingyi Israel |
| 2026 | EACL | Enabling Autoregressive Models to Fill In Masked Tokens. | Daniel Israel, Aditya Grover, Guy Van den Broeck |
| 2026 | HPCA | ESTroM: Element-Flow Architecture for Processing Sparse Tractable Probabilistic Models. | Anjunyi Fan, Xuejie Liu, Anji Liu, Qiuping Wu, Jiaqi Yang, Yuchao Qin, Guy Van den Broeck, Yitao Liang, Bonan Yan |
| 2026 | ICDT | Algorithms for Optimizing Acyclic Queries. | Zheng Luo, Wim Van den Broeck, Guy Van den Broeck, Yisu Remy Wang |
| 2026 | SAT | A Canonical Generalization of OBDD. | Florent Capelli, YooJung Choi, Stefan Mengel, Martn Muoz, Guy Van den Broeck |
| 2025 | AAAI | On the Relationship Between Monotone and Squared Probabilistic Circuits. | Benjie Wang, Guy Van den Broeck |
| 2025 | ACL | Adversarial Tokenization. | Renato Lui Geh, Zilei Shao, Guy Van den Broeck |
| 2025 | AISTATS | Restructuring Tractable Probabilistic Circuits. | Honghua Zhang, Benjie Wang, Marcelo Arenas, Guy Van den Broeck |
| 2025 | AISTATS | Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models. | Siyan Zhao, Daniel Israel, Guy Van den Broeck, Aditya Grover |
| 2025 | DCC | Enhancing and Evaluating Probabilistic Circuits for High-Resolution Lossless Image Compression. | Daniel Severo, Jingtong Su, Anji Liu, Jeff Johnson, Brian Karrer, Guy Van den Broeck, Matthew J. Muckley, Karen Ullrich |
| 2025 | ICLR | Controllable Generation via Locally Constrained Resampling. | Kareem Ahmed, Kai-Wei Chang, Guy Van den Broeck |
| 2025 | ICLR | Discrete Copula Diffusion. | Anji Liu, Oliver Broadrick, Mathias Niepert, Guy Van den Broeck |
| 2025 | ICLR | Learning to Discretize Denoising Diffusion ODEs. | Vinh Tong, Dung-Trung Hoang, Anji Liu, Guy Van den Broeck, Mathias Niepert |
| 2025 | ICML | The Limits of Tractable Marginalization. | Oliver Broadrick, Sanyam Agarwal, Guy Van den Broeck, Markus Blser |
| 2025 | ICML | Tractable Transformers for Flexible Conditional Generation. | Anji Liu, Xuejie Liu, Dayuan Zhao, Mathias Niepert, Yitao Liang, Guy Van den Broeck |
| 2025 | ICML | TRACE Back from the Future: A Probabilistic Reasoning Approach to Controllable Language Generation. | Gwen Yidou Weng, Benjie Wang, Guy Van den Broeck |
| 2025 | ICML | Scaling Probabilistic Circuits via Monarch Matrices. | Honghua Zhang, Meihua Dang, Benjie Wang, Stefano Ermon, Nanyun Peng, Guy Van den Broeck |
| 2024 | EMNLP | Where is the signal in tokenization space? | Renato Lui Geh, Honghua Zhang, Kareem Ahmed, Benjie Wang, Guy Van den Broeck |
| 2024 | ICLR | Image Inpainting via Tractable Steering of Diffusion Models. | Anji Liu, Mathias Niepert, Guy Van den Broeck |
| 2024 | ICLR | Probabilistically Rewired Message-Passing Neural Networks. | Chendi Qian, Andrei Manolache, Kareem Ahmed, Zhe Zeng, Guy Van den Broeck, Mathias Niepert, Christopher Morris |
| 2024 | ICML | Scaling Tractable Probabilistic Circuits: A Systems Perspective. | Anji Liu, Kareem Ahmed, Guy Van den Broeck |
| 2024 | UAI | Polynomial Semantics of Tractable Probabilistic Circuits. | Oliver Broadrick, Honghua Zhang, Guy Van den Broeck |
| 2023 | AAAI | Out-of-Distribution Generalization by Neural-Symbolic Joint Training. | Anji Liu, Hongming Xu, Guy Van den Broeck, Yitao Liang |
| 2023 | AAAI | Certifying Fairness of Probabilistic Circuits. | Nikil Roashan Selvam, Guy Van den Broeck, YooJung Choi |
| 2023 | AISTATS | Semantic Strengthening of Neuro-Symbolic Learning. | Kareem Ahmed, Kai-Wei Chang, Guy Van den Broeck |
| 2023 | AISTATS | Mixtures of All Trees. | Nikil Roashan Selvam, Honghua Zhang, Guy Van den Broeck |
| 2023 | ICLR | SIMPLE: A Gradient Estimator for k-Subset Sampling. | Kareem Ahmed, Zhe Zeng, Mathias Niepert, Guy Van den Broeck |
| 2023 | ICLR | Scaling Up Probabilistic Circuits by Latent Variable Distillation. | Anji Liu, Honghua Zhang, Guy Van den Broeck |
| 2023 | ICML | Understanding the Distillation Process from Deep Generative Models to Tractable Probabilistic Circuits. | Xuejie Liu, Anji Liu, Guy Van den Broeck, Yitao Liang |
| 2023 | ICML | Tractable Control for Autoregressive Language Generation. | Honghua Zhang, Meihua Dang, Nanyun Peng, Guy Van den Broeck |
| 2023 | IJCAI | On the Paradox of Learning to Reason from Data. | Honghua Zhang, Liunian Harold Li, Tao Meng, Kai-Wei Chang, Guy Van den Broeck |
| 2023 | NeSy | Semantic Probabilistic Layers for Neuro-Symbolic Learning. | Kareem Ahmed, Stefano Teso, Kai-Wei Chang, Guy Van den Broeck, Antonio Vergari |
| 2023 | UAI | Scaling integer arithmetic in probabilistic programs. | William X. Cao, Poorva Garg, Ryan Tjoa, Steven Holtzen, Todd D. Millstein, Guy Van den Broeck |
| 2022 | AAAI | PYLON: A PyTorch Framework for Learning with Constraints. | Kareem Ahmed, Tao Li, Thy Ton, Quan Guo, Kai-Wei Chang, Parisa Kordjamshidi, Vivek Srikumar, Guy Van den Broeck, Sameer Singh |
| 2022 | AISTATS | Solving Marginal MAP Exactly by Probabilistic Circuit Transformations. | YooJung Choi, Tal Friedman, Guy Van den Broeck |
| 2022 | ICLR | Lossless Compression with Probabilistic Circuits. | Anji Liu, Stephan Mandt, Guy Van den Broeck |
| 2022 | RECOMB | Tractable and Expressive Generative Models of Genetic Variation Data. | Meihua Dang, Anji Liu, Xinzhu Wei, Sriram Sankararaman, Guy Van den Broeck |
| 2022 | UAI | Neuro-symbolic entropy regularization. | Kareem Ahmed, Eric Wang, Kai-Wei Chang, Guy Van den Broeck |
| 2021 | AAAI | On the Tractability of SHAP Explanations. | Guy Van den Broeck, Anton Lykov, Maximilian Schleich, Dan Suciu |
| 2021 | AAAI | Group Fairness by Probabilistic Modeling with Latent Fair Decisions. | YooJung Choi, Meihua Dang, Guy Van den Broeck |
| 2021 | AAAI | Juice: A Julia Package for Logic and Probabilistic Circuits. | Meihua Dang, Pasha Khosravi, Yitao Liang, Antonio Vergari, Guy Van den Broeck |
| 2021 | ASPLOS | Logical abstractions for noisy variational Quantum algorithm simulation. | Yipeng Huang, Steven Holtzen, Todd D. Millstein, Guy Van den Broeck, Margaret Martonosi |
| 2021 | CAV | Model Checking Finite-Horizon Markov Chains with Probabilistic Inference. | Steven Holtzen, Sebastian Junges, Marcell Vazquez-Chanlatte, Todd D. Millstein, Sanjit A. Seshia, Guy Van den Broeck |
| 2021 | ICAART | From Probabilistic Circuits to Probabilistic Programs and Back. | Guy Van den Broeck |
| 2021 | ICML | Probabilistic Generating Circuits. | Honghua Zhang, Brendan Juba, Guy Van den Broeck |
| 2021 | IJCAI | Probabilistic Sufficient Explanations. | Eric Wang, Pasha Khosravi, Guy Van den Broeck |
| 2021 | UAI | Tractable computation of expected kernels. | Wenzhe Li, Zhe Zeng, Antonio Vergari, Guy Van den Broeck |
| 2020 | AAAI | Learning Fair Naive Bayes Classifiers by Discovering and Eliminating Discrimination Patterns. | YooJung Choi, Golnoosh Farnadi, Behrouz Babaki, Guy Van den Broeck |
| 2020 | CoRL | SAM: Squeeze-and-Mimic Networks for Conditional Visual Driving Policy Learning. | Albert Zhao, Tong He, Yitao Liang, Haibin Huang, Guy Van den Broeck, Stefano Soatto |
| 2020 | ICML | Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits. | Robert Peharz, Steven Lang, Antonio Vergari, Karl Stelzner, Alejandro Molina, Martin Trapp, Guy Van den Broeck, Kristian Kersting, Zoubin Ghahramani |
| 2020 | ICML | Scaling up Hybrid Probabilistic Inference with Logical and Arithmetic Constraints via Message Passing. | Zhe Zeng, Paolo Morettin, Fanqi Yan, Antonio Vergari, Guy Van den Broeck |
| 2020 | IDA | Discriminative Bias for Learning Probabilistic Sentential Decision Diagrams. | Laura Isabel Galindez Olascoaga, Wannes Meert, Nimish Shah, Guy Van den Broeck, Marian Verhelst |
| 2020 | UAI | Symbolic Querying of Vector Spaces: Probabilistic Databases Meets Relational Embeddings. | Tal Friedman, Guy Van den Broeck |
| 2020 | UAI | On the Relationship Between Probabilistic Circuits and Determinantal Point Processes. | Honghua Zhang, Steven Holtzen, Guy Van den Broeck |
| 2019 | AAAI | Learning Logistic Circuits. | Yitao Liang, Guy Van den Broeck |
| 2019 | IJCAI | On Constrained Open-World Probabilistic Databases. | Tal Friedman, Guy Van den Broeck |
| 2019 | IJCAI | What to Expect of Classifiers? Reasoning about Logistic Regression with Missing Features. | Pasha Khosravi, Yitao Liang, YooJung Choi, Guy Van den Broeck |
| 2019 | ICSE | Active inductive logic programming for code search. | Aishwarya Sivaraman, Tianyi Zhang, Guy Van den Broeck, Miryung Kim |
| 2019 | UAI | Generating and Sampling Orbits for Lifted Probabilistic Inference. | Steven Holtzen, Todd D. Millstein, Guy Van den Broeck |
| 2019 | UAI | Efficient Search-Based Weighted Model Integration. | Zhe Zeng, Guy Van den Broeck |
| 2018 | ICML | Sound Abstraction and Decomposition of Probabilistic Programs. | Steven Holtzen, Guy Van den Broeck, Todd D. Millstein |
| 2018 | ICML | A Semantic Loss Function for Deep Learning with Symbolic Knowledge. | Jingyi Xu, Zilu Zhang, Tal Friedman, Yitao Liang, Guy Van den Broeck |
| 2018 | IJCAI | On Robust Trimming of Bayesian Network Classifiers. | YooJung Choi, Guy Van den Broeck |
| 2017 | CP | Combining Stochastic Constraint Optimization and Probabilistic Programming - From Knowledge Compilation to Constraint Solving. | Anna L. D. Latour, Behrouz Babaki, Anton Dries, Angelika Kimmig, Guy Van den Broeck, Siegfried Nijssen |
| 2017 | IJCAI | Open-World Probabilistic Databases: An Abridged Report. | Ismail Ilkan Ceylan, Adnan Darwiche, Guy Van den Broeck |
| 2017 | IJCAI | Optimal Feature Selection for Decision Robustness in Bayesian Networks. | YooJung Choi, Adnan Darwiche, Guy Van den Broeck |
| 2017 | UAI | Probabilistic Program Abstractions. | Steven Holtzen, Todd D. Millstein, Guy Van den Broeck |
| 2017 | UAI | Learning the Structure of Probabilistic Sentential Decision Diagrams. | Yitao Liang, Jessa Bekker, Guy Van den Broeck |
| 2016 | AAAI | Component Caching in Hybrid Domains with Piecewise Polynomial Densities. | Vaishak Belle, Guy Van den Broeck, Andrea Passerini |
| 2016 | IJCAI | Hashing-Based Approximate Probabilistic Inference in Hybrid Domains: An Abridged Report. | Vaishak Belle, Guy Van den Broeck, Andrea Passerini |
| 2016 | IJCAI | First-Order Model Counting in a Nutshell. | Guy Van den Broeck |
| 2016 | KR | Open-World Probabilistic Databases. | Ismail Ilkan Ceylan, Adnan Darwiche, Guy Van den Broeck |
| 2015 | AAAI | On the Role of Canonicity in Knowledge Compilation. | Guy Van den Broeck, Adnan Darwiche |
| 2015 | AAAI | Lifted Probabilistic Inference for Asymmetric Graphical Models. | Guy Van den Broeck, Mathias Niepert |
| 2015 | IJCAI | Probabilistic Inference in Hybrid Domains by Weighted Model Integration. | Vaishak Belle, Andrea Passerini, Guy Van den Broeck |
| 2015 | IJCAI | Tractable Learning for Structured Probability Spaces: A Case Study in Learning Preference Distributions. | Arthur Choi, Guy Van den Broeck, Adnan Darwiche |
| 2015 | IJCAI | Inducing Probabilistic Relational Rules from Probabilistic Examples. | Luc De Raedt, Anton Dries, Ingo Thon, Guy Van den Broeck, Mathias Verbeke |
| 2015 | IJCAI | Anytime Inference in Probabilistic Logic Programs with Tp-Compilation. | Jonas Vlasselaer, Guy Van den Broeck, Angelika Kimmig, Wannes Meert, Luc De Raedt |
| 2015 | PODS | Symmetric Weighted First-Order Model Counting. | Paul Beame, Guy Van den Broeck, Eric Gribkoff, Dan Suciu |
| 2015 | UAI | Hashing-Based Approximate Probabilistic Inference in Hybrid Domains. | Vaishak Belle, Guy Van den Broeck, Andrea Passerini |
| 2015 | UAI | Efficient Algorithms for Bayesian Network Parameter Learning from Incomplete Data. | Guy Van den Broeck, Karthika Mohan, Arthur Choi, Adnan Darwiche, Judea Pearl |
| 2014 | AAAI | Preface. | Guy Van den Broeck, Kristian Kersting, Sriraam Natarajan, David Poole |
| 2014 | AAAI | Understanding the Complexity of Lifted Inference and Asymmetric Weighted Model Counting. | Eric Gribkoff, Guy Van den Broeck, Dan Suciu |
| 2014 | AAAI | Tractability through Exchangeability: A New Perspective on Efficient Probabilistic Inference. | Mathias Niepert, Guy Van den Broeck |
| 2014 | AAAI | Explanation-Based Approximate Weighted Model Counting for Probabilistic Logics. | Joris Renkens, Angelika Kimmig, Guy Van den Broeck, Luc De Raedt |
| 2014 | AAAI | Explanation-Based Approximate Weighted Model Counting for Probabilistic Logics. | Joris Renkens, Angelika Kimmig, Guy Van den Broeck, Luc De Raedt |
| 2014 | AAAI | Efficient Probabilistic Inference for Dynamic Relational Models. | Jonas Vlasselaer, Wannes Meert, Guy Van den Broeck, Luc De Raedt |
| 2014 | KR | Skolemization for Weighted First-Order Model Counting. | Guy Van den Broeck, Wannes Meert, Adnan Darwiche |
| 2014 | KR | Probabilistic Sentential Decision Diagrams. | Doga Kisa, Guy Van den Broeck, Arthur Choi, Adnan Darwiche |
| 2014 | UAI | Understanding the Complexity of Lifted Inference and Asymmetric Weighted Model Counting. | Eric Gribkoff, Guy Van den Broeck, Dan Suciu |
| 2013 | AAAI | On the Complexity and Approximation of Binary Evidence in Lifted Inference. | Guy Van den Broeck |
| 2013 | AAAI | Lifted Generative Parameter Learning. | Guy Van den Broeck, Wannes Meert, Jesse Davis |
| 2013 | AAAI | On the Completeness of Lifted Variable Elimination. | Nima Taghipour, Daan Fierens, Guy Van den Broeck, Jesse Davis, Hendrik Blockeel |
| 2013 | AISTATS | Completeness Results for Lifted Variable Elimination. | Nima Taghipour, Daan Fierens, Guy Van den Broeck, Jesse Davis, Hendrik Blockeel |
| 2012 | AAAI | Conditioning in First-Order Knowledge Compilation and Lifted Probabilistic Inference. | Guy Van den Broeck, Jesse Davis |
| 2012 | UAI | Lifted Relax, Compensate and then Recover: From Approximate to Exact Lifted Probabilistic Inference. | Guy Van den Broeck, Arthur Choi, Adnan Darwiche |
| 2011 | AAAI | An Algebraic Prolog for Reasoning about Possible Worlds. | Angelika Kimmig, Guy Van den Broeck, Luc De Raedt |
| 2011 | IJCAI | Lifted Probabilistic Inference by First-Order Knowledge Compilation. | Guy Van den Broeck, Nima Taghipour, Wannes Meert, Jesse Davis, Luc De Raedt |
| 2011 | ILP | Relational Learning for Football-Related Predictions. | Jan Van Haaren, Guy Van den Broeck |
| 2011 | ILP | k-Optimal: A Novel Approximate Inference Algorithm for ProbLog. | Joris Renkens, Guy Van den Broeck, Siegfried Nijssen |
| 2011 | UAI | Inference in Probabilistic Logic Programs using Weighted CNF's. | Daan Fierens, Guy Van den Broeck, Ingo Thon, Bernd Gutmann, Luc De Raedt |
| 2010 | AAAI | DTProbLog: A Decision-Theoretic Probabilistic Prolog. | Guy Van den Broeck, Ingo Thon, Martijn van Otterlo, Luc De Raedt |
| 2010 | AAAI | Probabilistic Programming for Planning Problems. | Ingo Thon, Bernd Gutmann, Guy Van den Broeck |
| 2009 | ACML | Monte-Carlo Tree Search in Poker Using Expected Reward Distributions. | Guy Van den Broeck, Kurt Driessens, Jan Ramon |