Guy Van den Broeck

272 papers A* 75A 24B 4C 2Misc 1Journal 132Unranked 32

Year	Rank	Type	Title / Venue / Authors
2026	A	`conf`	Algorithms for Optimizing Acyclic Queries. ICDT Zheng Luo, Wim Van den Broeck, Guy Van den Broeck, Yisu Remy Wang
2026	J	`jnl`	Breaking the Factorization Barrier in Diffusion Language Models. CoRR Ian Li, Zilei Shao, Benjie Wang, Rose Yu, Guy Van den Broeck, Anji Liu
2026	A*	`conf`	ESTroM: Element-Flow Architecture for Processing Sparse Tractable Probabilistic Models. HPCA Anjunyi Fan, Xuejie Liu, Anji Liu, Qiuping Wu, Jiaqi Yang, Yuchao Qin, Guy Van den Broeck, Yitao Liang, Bonan Yan
2026	—	`conf`	Enabling Autoregressive Models to Fill In Masked Tokens. EACL (Findings) Daniel Israel, Aditya Grover, Guy Van den Broeck
2025	J	`jnl`	Accelerating Diffusion LLMs via Adaptive Parallel Decoding. CoRR Daniel Israel, Guy Van den Broeck, Aditya Grover
2025	—	`conf`	Adversarial Tokenization. ACL (1) Renato Lui Geh, Zilei Shao, Guy Van den Broeck
2025	J	`jnl`	Adversarial Tokenization. CoRR Renato Lui Geh, Zilei Shao, Guy Van den Broeck
2025	J	`jnl`	Algorithms for Optimizing Acyclic Queries. CoRR Zheng Luo, Wim Van den Broeck, Guy Van den Broeck, Yisu Remy Wang
2025	A*	`conf`	Controllable Generation via Locally Constrained Resampling. ICLR Kareem Ahmed, Kai-Wei Chang, Guy Van den Broeck
2025	J	`jnl`	Deep Generative Models with Hard Linear Equality Constraints. CoRR Ruoyan Li, Dipti Ranjan Sahu, Guy Van den Broeck, Zhe Zeng
2025	A*	`conf`	Discrete Copula Diffusion. ICLR Anji Liu, Oliver Broadrick, Mathias Niepert, Guy Van den Broeck
2025	J	`jnl`	Enabling Autoregressive Models to Fill In Masked Tokens. CoRR Daniel Israel, Aditya Grover, Guy Van den Broeck
2025	B	`conf`	Enhancing and Evaluating Probabilistic Circuits for High-Resolution Lossless Image Compression. DCC Daniel Severo, Jingtong Su, Anji Liu, Jeff Johnson, Brian Karrer, Guy Van den Broeck, Matthew J. Muckley, Karen Ullrich
2025	J	`jnl`	How to Marginalize in Causal Structure Learning? CoRR William Zhao, Guy Van den Broeck, Benjie Wang
2025	J	`jnl`	Learning Tractable Distributions Of Language Model Continuations. CoRR Gwen Yidou Weng, Ian Li, Anji Liu, Oliver Broadrick, Guy Van den Broeck, Benjie Wang
2025	A*	`conf`	Learning to Discretize Denoising Diffusion ODEs. ICLR Vinh Tong, Dung-Trung Hoang, Anji Liu, Guy Van den Broeck, Mathias Niepert
2025	J	`jnl`	On the Challenges and Opportunities in Generative AI. Trans. Mach. Learn. Res. Laura Manduchi, Clara Meister, Kushagra Pandey, Robert Bamler, Ryan Cotterell, Sina Däubener, Sophie Fellenz, Asja Fischer, Thomas Gärtner, Matthias Kirchler, Marius Kloft, Yingzhen Li, Christoph Lippert, Gerard de Melo, Eric T. Nalisnick, Björn Ommer, Rajesh Ranganath, Maja Rudolph, Karen Ullrich, Guy Van den Broeck, Julia E. Vogt, Yixin Wang, Florian Wenzel, Frank Wood, Stephan Mandt, Vincent Fortuin
2025	A*	`conf`	On the Relationship Between Monotone and Squared Probabilistic Circuits. AAAI Benjie Wang, Guy Van den Broeck
2025	J	`jnl`	Planned Diffusion. CoRR Daniel Israel, Tian Jin, Ellie Y. Cheng, Guy Van den Broeck, Aditya Grover, Suvinay Subramanian, Michael Carbin
2025	J	`jnl`	Plug-and-Play Context Feature Reuse for Efficient Masked Generation. CoRR Xuejie Liu, Anji Liu, Guy Van den Broeck, Yitao Liang
2025	A	`conf`	Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models. AISTATS Siyan Zhao, Daniel Israel, Guy Van den Broeck, Aditya Grover
2025	A	`conf`	Restructuring Tractable Probabilistic Circuits. AISTATS Honghua Zhang, Benjie Wang, Marcelo Arenas, Guy Van den Broeck
2025	J	`jnl`	Rethinking Probabilistic Circuit Parameter Learning. CoRR Anji Liu, Guy Van den Broeck
2025	A*	`conf`	Scaling Probabilistic Circuits via Monarch Matrices. ICML Honghua Zhang, Meihua Dang, Benjie Wang, Stefano Ermon, Nanyun Peng, Guy Van den Broeck
2025	J	`jnl`	Scaling Probabilistic Circuits via Monarch Matrices. CoRR Honghua Zhang, Meihua Dang, Benjie Wang, Stefano Ermon, Nanyun Peng, Guy Van den Broeck
2025	J	`jnl`	Symmetry-Preserving Diffusion Models via Target Symmetrization. CoRR Vinh Tong, Yun Ye, Trung-Dung Hoang, Anji Liu, Guy Van den Broeck, Mathias Niepert
2025	A*	`conf`	TRACE Back from the Future: A Probabilistic Reasoning Approach to Controllable Language Generation. ICML Gwen Yidou Weng, Benjie Wang, Guy Van den Broeck
2025	J	`jnl`	TRACE Back from the Future: A Probabilistic Reasoning Approach to Controllable Language Generation. CoRR Gwen Yidou Weng, Benjie Wang, Guy Van den Broeck
2025	A*	`conf`	The Limits of Tractable Marginalization. ICML Oliver Broadrick, Sanyam Agarwal, Guy Van den Broeck, Markus Bläser
2025	J	`jnl`	The Limits of Tractable Marginalization. CoRR Oliver Broadrick, Sanyam Agarwal, Guy Van den Broeck, Markus Bläser
2025	J	`jnl`	The Pitfalls of KV Cache Compression. CoRR Alex Chen, Renato Lui Geh, Aditya Grover, Guy Van den Broeck, Daniel Israel
2025	A*	`conf`	Tractable Transformers for Flexible Conditional Generation. ICML Anji Liu, Xuejie Liu, Dayuan Zhao, Mathias Niepert, Yitao Liang, Guy Van den Broeck
2025	J	`jnl`	Tractable Transformers for Flexible Conditional Generation. CoRR Anji Liu, Xuejie Liu, Dayuan Zhao, Mathias Niepert, Yitao Liang, Guy Van den Broeck
2025	J	`jnl`	Tuning Random Generators: Property-Based Testing as Probabilistic Programming. CoRR Ryan Tjoa, Poorva Garg, Harrison Goldstein, Todd D. Millstein, Benjamin C. Pierce, Guy Van den Broeck
2025	J	`jnl`	Tuning Random Generators: Property-Based Testing as Probabilistic Programming. Proc. ACM Program. Lang. Ryan Tjoa, Poorva Garg, Harrison Goldstein, Todd D. Millstein, Benjamin C. Pierce, Guy Van den Broeck
2025	J	`jnl`	Zero-Variance Gradients for Variational Autoencoders. CoRR Zilei Shao, Anji Liu, Guy Van den Broeck
2024	J	`jnl`	A Circus of Circuits: Connections Between Decision Diagrams, Circuits, and Automata. CoRR Antoine Amarilli, Marcelo Arenas, YooJung Choi, Mikaël Monet, Guy Van den Broeck, Benjie Wang
2024	A*	`conf`	A Compositional Atlas for Algebraic Circuits. NeurIPS Benjie Wang, Denis Deratani Mauá, Guy Van den Broeck, YooJung Choi
2024	J	`jnl`	A Compositional Atlas for Algebraic Circuits. CoRR Benjie Wang, Denis Deratani Mauá, Guy Van den Broeck, YooJung Choi
2024	A*	`conf`	A Tractable Inference Perspective of Offline RL. NeurIPS Xuejie Liu, Anji Liu, Guy Van den Broeck, Yitao Liang
2024	A*	`conf`	Adaptable Logical Control for Large Language Models. NeurIPS Honghua Zhang, Po-Nien Kung, Masahiro Yoshida, Guy Van den Broeck, Nanyun Peng
2024	J	`jnl`	Adaptable Logical Control for Large Language Models. CoRR Honghua Zhang, Po-Nien Kung, Masahiro Yoshida, Guy Van den Broeck, Nanyun Peng
2024	J	`jnl`	Bit Blasting Probabilistic Programs. Proc. ACM Program. Lang. Poorva Garg, Steven Holtzen, Guy Van den Broeck, Todd D. Millstein
2024	J	`jnl`	Controllable Generation via Locally Constrained Resampling. CoRR Kareem Ahmed, Kai-Wei Chang, Guy Van den Broeck
2024	J	`jnl`	Discrete Copula Diffusion. CoRR Anji Liu, Oliver Broadrick, Mathias Niepert, Guy Van den Broeck
2024	A*	`conf`	Image Inpainting via Tractable Steering of Diffusion Models. ICLR Anji Liu, Mathias Niepert, Guy Van den Broeck
2024	J	`jnl`	Image Inpainting via Tractable Steering of Diffusion Models. CoRR Anji Liu, Mathias Niepert, Guy Van den Broeck
2024	J	`jnl`	Learning to Discretize Denoising Diffusion ODEs. CoRR Vinh Tong, Anji Liu, Trung-Dung Hoang, Guy Van den Broeck, Mathias Niepert
2024	J	`jnl`	On the Challenges and Opportunities in Generative AI. CoRR Laura Manduchi, Kushagra Pandey, Robert Bamler, Ryan Cotterell, Sina Däubener, Sophie Fellenz, Asja Fischer, Thomas Gärtner, Matthias Kirchler, Marius Kloft, Yingzhen Li, Christoph Lippert, Gerard de Melo, Eric T. Nalisnick, Björn Ommer, Rajesh Ranganath, Maja Rudolph, Karen Ullrich, Guy Van den Broeck, Julia E. Vogt, Yixin Wang, Florian Wenzel, Frank Wood, Stephan Mandt, Vincent Fortuin
2024	J	`jnl`	On the Relationship Between Monotone and Squared Probabilistic Circuits. CoRR Benjie Wang, Guy Van den Broeck
2024	A	`conf`	Polynomial Semantics of Tractable Probabilistic Circuits. UAI Oliver Broadrick, Honghua Zhang, Guy Van den Broeck
2024	J	`jnl`	Polynomial Semantics of Tractable Probabilistic Circuits. CoRR Oliver Broadrick, Honghua Zhang, Guy Van den Broeck
2024	J	`jnl`	Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models. CoRR Siyan Zhao, Daniel Israel, Guy Van den Broeck, Aditya Grover
2024	J	`jnl`	Probabilistic Circuits for Cumulative Distribution Functions. CoRR Oliver Broadrick, William X. Cao, Benjie Wang, Martin Trapp, 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	J	`jnl`	Restructuring Tractable Probabilistic Circuits. CoRR Honghua Zhang, Benjie Wang, Marcelo Arenas, Guy Van den Broeck
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	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`	Bit Blasting Probabilistic Programs. CoRR Poorva Garg, Steven Holtzen, Guy Van den Broeck, Todd D. Millstein
2023	A*	`conf`	Certifying Fairness of Probabilistic Circuits. AAAI Nikil Roashan Selvam, Guy Van den Broeck, YooJung Choi
2023	A*	`conf`	Collapsed Inference for Bayesian Deep Learning. NeurIPS Zhe Zeng, Guy Van den Broeck
2023	J	`jnl`	Collapsed Inference for Bayesian Deep Learning. CoRR Zhe Zeng, Guy Van den Broeck
2023	J	`jnl`	Expressive Modeling Is Insufficient for Offline RL: A Tractable Inference Perspective. CoRR Xuejie Liu, Anji Liu, Guy Van den Broeck, Yitao Liang
2023	J	`jnl`	High Dimensional Causal Inference with Variational Backdoor Adjustment. CoRR Daniel Israel, Aditya Grover, Guy Van den Broeck
2023	A	`conf`	Mixtures of All Trees. AISTATS Nikil Roashan Selvam, Honghua Zhang, Guy Van den Broeck
2023	J	`jnl`	Mixtures of All Trees. CoRR Nikil Roashan Selvam, Honghua Zhang, Guy Van den Broeck
2023	A*	`conf`	On the Paradox of Learning to Reason from Data. IJCAI Honghua Zhang, Liunian Harold Li, Tao Meng, Kai-Wei Chang, Guy Van den Broeck
2023	A*	`conf`	Out-of-Distribution Generalization by Neural-Symbolic Joint Training. AAAI Anji Liu, Hongming Xu, Guy Van den Broeck, Yitao Liang
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	J	`jnl`	Scalable Analysis of Probabilistic Models and Programs (Dagstuhl Seminar 23241). Dagstuhl Reports Sebastian Junges, Joost-Pieter Katoen, Scott Sanner, Guy Van den Broeck, Bahare Salmani
2023	J	`jnl`	Scaling Integer Arithmetic in Probabilistic Programs. CoRR William X. Cao, Poorva Garg, Ryan Tjoa, Steven Holtzen, Todd D. Millstein, Guy Van den Broeck
2023	A*	`conf`	Scaling Up Probabilistic Circuits by Latent Variable Distillation. ICLR Anji Liu, Honghua Zhang, Guy Van den Broeck
2023	A	`conf`	Scaling integer arithmetic in probabilistic programs. UAI William X. Cao, Poorva Garg, Ryan Tjoa, Steven Holtzen, Todd D. Millstein, 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
2023	A*	`conf`	Tractable Control for Autoregressive Language Generation. ICML Honghua Zhang, Meihua Dang, Nanyun Peng, Guy Van den Broeck
2023	J	`jnl`	Tractable Control for Autoregressive Language Generation. CoRR Honghua Zhang, Meihua Dang, Nanyun Peng, Guy Van den Broeck
2023	A*	`conf`	Understanding the Distillation Process from Deep Generative Models to Tractable Probabilistic Circuits. ICML Xuejie Liu, Anji Liu, Guy Van den Broeck, Yitao Liang
2023	J	`jnl`	Understanding the Distillation Process from Deep Generative Models to Tractable Probabilistic Circuits. CoRR Xuejie Liu, Anji Liu, Guy Van den Broeck, Yitao Liang
2022	J	`jnl`	Certifying Fairness of Probabilistic Circuits. CoRR Nikil Roashan Selvam, Guy Van den Broeck, YooJung Choi
2022	A*	`conf`	Lossless Compression with Probabilistic Circuits. ICLR Anji Liu, Stephan Mandt, Guy Van den Broeck
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	J	`jnl`	On the Paradox of Learning to Reason from Data. CoRR Honghua Zhang, Liunian Harold Li, Tao Meng, Kai-Wei Chang, Guy Van den Broeck
2022	J	`jnl`	On the Tractability of SHAP Explanations. J. Artif. Intell. Res. Guy Van den Broeck, Anton Lykov, Maximilian Schleich, Dan Suciu
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`	SIMPLE: A Gradient Estimator for k-Subset Sampling. CoRR Kareem Ahmed, Zhe Zeng, Mathias Niepert, Guy Van den Broeck
2022	J	`jnl`	Scaling Up Probabilistic Circuits by Latent Variable Distillation. CoRR Anji Liu, Honghua Zhang, 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
2022	A	`conf`	Solving Marginal MAP Exactly by Probabilistic Circuit Transformations. AISTATS YooJung Choi, Tal Friedman, Guy Van den Broeck
2022	A*	`conf`	Sparse Probabilistic Circuits via Pruning and Growing. NeurIPS Meihua Dang, Anji Liu, Guy Van den Broeck
2022	J	`jnl`	Sparse Probabilistic Circuits via Pruning and Growing. CoRR Meihua Dang, Anji Liu, Guy Van den Broeck
2022	J	`jnl`	Strudel: A fast and accurate learner of structured-decomposable probabilistic circuits. Int. J. Approx. Reason. Meihua Dang, Antonio Vergari, Guy Van den Broeck
2022	B	`conf`	Tractable and Expressive Generative Models of Genetic Variation Data. RECOMB Meihua Dang, Anji Liu, Xinzhu Wei, Sriram Sankararaman, Guy Van den Broeck
2021	A*	`conf`	A Compositional Atlas of Tractable Circuit Operations for Probabilistic Inference. NeurIPS Antonio Vergari, YooJung Choi, Anji Liu, Stefano Teso, Guy Van den Broeck
2021	J	`jnl`	A Compositional Atlas of Tractable Circuit Operations: From Simple Transformations to Complex Information-Theoretic Queries. CoRR Antonio Vergari, YooJung Choi, Anji Liu, Stefano Teso, Guy Van den Broeck
2021	—	`conf`	From Probabilistic Circuits to Probabilistic Programs and Back. ICAART (1) Guy Van den Broeck
2021	A*	`conf`	Group Fairness by Probabilistic Modeling with Latent Fair Decisions. AAAI YooJung Choi, Meihua Dang, Guy Van den Broeck
2021	A*	`conf`	Juice: A Julia Package for Logic and Probabilistic Circuits. AAAI Meihua Dang, Pasha Khosravi, Yitao Liang, Antonio Vergari, Guy Van den Broeck
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	J	`jnl`	Logical Abstractions for Noisy Variational Quantum Algorithm Simulation. CoRR Yipeng Huang, Steven Holtzen, Todd D. Millstein, Guy Van den Broeck, Margaret Martonosi
2021	A*	`conf`	Logical abstractions for noisy variational Quantum algorithm simulation. ASPLOS Yipeng Huang, Steven Holtzen, Todd D. Millstein, Guy Van den Broeck, Margaret Martonosi
2021	J	`jnl`	Lossless Compression with Probabilistic Circuits. CoRR Anji Liu, Stephan Mandt, Guy Van den Broeck
2021	—	`conf`	Model Checking Finite-Horizon Markov Chains with Probabilistic Inference. CAV (2) Steven Holtzen, Sebastian Junges, Marcell Vazquez-Chanlatte, Todd D. Millstein, Sanjit A. Seshia, Guy Van den Broeck
2021	J	`jnl`	Model Checking Finite-Horizon Markov Chains with Probabilistic Inference. CoRR Steven Holtzen, Sebastian Junges, Marcell Vazquez-Chanlatte, Todd D. Millstein, Sanjit A. Seshia, Guy Van den Broeck
2021	A*	`conf`	On the Tractability of SHAP Explanations. AAAI Guy Van den Broeck, Anton Lykov, Maximilian Schleich, Dan Suciu
2021	J	`jnl`	Open-world probabilistic databases: Semantics, algorithms, complexity. Artif. Intell. Ismail Ilkan Ceylan, Adnan Darwiche, Guy Van den Broeck
2021	A*	`conf`	Probabilistic Generating Circuits. ICML Honghua Zhang, Brendan Juba, Guy Van den Broeck
2021	J	`jnl`	Probabilistic Generating Circuits. CoRR Honghua Zhang, Brendan Juba, Guy Van den Broeck
2021	A*	`conf`	Probabilistic Sufficient Explanations. IJCAI Eric Wang, Pasha Khosravi, Guy Van den Broeck
2021	J	`jnl`	Probabilistic Sufficient Explanations. CoRR Eric Wang, Pasha Khosravi, Guy Van den Broeck
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
2021	J	`jnl`	Solving Marginal MAP Exactly by Probabilistic Circuit Transformations. CoRR YooJung Choi, Tal Friedman, Guy Van den Broeck
2021	J	`jnl`	Towards an Interpretable Latent Space in Structured Models for Video Prediction. CoRR Rushil Gupta, Vishal Sharma, Yash Jain, Yitao Liang, Guy Van den Broeck, Parag Singla
2021	J	`jnl`	Tractable Computation of Expected Kernels by Circuits. CoRR Wenzhe Li, Zhe Zeng, Antonio Vergari, Guy Van den Broeck
2021	A*	`conf`	Tractable Regularization of Probabilistic Circuits. NeurIPS Anji Liu, Guy Van den Broeck
2021	J	`jnl`	Tractable Regularization of Probabilistic Circuits. CoRR Anji Liu, Guy Van den Broeck
2021	A	`conf`	Tractable computation of expected kernels. UAI Wenzhe Li, Zhe Zeng, Antonio Vergari, Guy Van den Broeck
2021	J	`jnl`	flip-hoisting: Exploiting Repeated Parameters in Discrete Probabilistic Programs. CoRR Yu-Hsi Cheng, Todd D. Millstein, Guy Van den Broeck, Steven Holtzen
2020	A*	`conf`	Counterexample-Guided Learning of Monotonic Neural Networks. NeurIPS Aishwarya Sivaraman, Golnoosh Farnadi, Todd D. Millstein, Guy Van den Broeck
2020	J	`jnl`	Counterexample-Guided Learning of Monotonic Neural Networks. CoRR Aishwarya Sivaraman, Golnoosh Farnadi, Todd D. Millstein, Guy Van den Broeck
2020	J	`jnl`	Dice: Compiling Discrete Probabilistic Programs for Scalable Inference. CoRR Steven Holtzen, Guy Van den Broeck, Todd D. Millstein
2020	B	`conf`	Discriminative Bias for Learning Probabilistic Sentential Decision Diagrams. IDA Laura Isabel Galindez Olascoaga, Wannes Meert, Nimish Shah, Guy Van den Broeck, Marian Verhelst
2020	A*	`conf`	Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits. ICML Robert Peharz, Steven Lang, Antonio Vergari, Karl Stelzner, Alejandro Molina, Martin Trapp, Guy Van den Broeck, Kristian Kersting, Zoubin Ghahramani
2020	J	`jnl`	Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits. CoRR Robert Peharz, Steven Lang, Antonio Vergari, Karl Stelzner, Alejandro Molina, Martin Trapp, Guy Van den Broeck, Kristian Kersting, Zoubin Ghahramani
2020	J	`jnl`	Group Fairness by Probabilistic Modeling with Latent Fair Decisions. CoRR YooJung Choi, Meihua Dang, Guy Van den Broeck
2020	J	`jnl`	Handling Missing Data in Decision Trees: A Probabilistic Approach. CoRR Pasha Khosravi, Antonio Vergari, YooJung Choi, Yitao Liang, Guy Van den Broeck
2020	A*	`conf`	Learning Fair Naive Bayes Classifiers by Discovering and Eliminating Discrimination Patterns. AAAI YooJung Choi, Golnoosh Farnadi, Behrouz Babaki, Guy Van den Broeck
2020	A	`conf`	Off-Policy Deep Reinforcement Learning with Analogous Disentangled Exploration. AAMAS Anji Liu, Yitao Liang, Guy Van den Broeck
2020	J	`jnl`	Off-Policy Deep Reinforcement Learning with Analogous Disentangled Exploration. CoRR Anji Liu, Yitao Liang, Guy Van den Broeck
2020	J	`jnl`	On Effective Parallelization of Monte Carlo Tree Search. CoRR Anji Liu, Yitao Liang, Ji Liu, Guy Van den Broeck, Jianshu Chen
2020	A	`conf`	On the Relationship Between Probabilistic Circuits and Determinantal Point Processes. UAI Honghua Zhang, Steven Holtzen, Guy Van den Broeck
2020	J	`jnl`	On the Relationship Between Probabilistic Circuits and Determinantal Point Processes. CoRR Honghua Zhang, Steven Holtzen, Guy Van den Broeck
2020	J	`jnl`	On the Tractability of SHAP Explanations. CoRR Guy Van den Broeck, Anton Lykov, Maximilian Schleich, Dan Suciu
2020	A*	`conf`	Probabilistic Inference with Algebraic Constraints: Theoretical Limits and Practical Approximations. NeurIPS Zhe Zeng, Paolo Morettin, Fanqi Yan, Antonio Vergari, Guy Van den Broeck
2020	Misc	`conf`	SAM: Squeeze-and-Mimic Networks for Conditional Visual Driving Policy Learning. CoRL Albert Zhao, Tong He, Yitao Liang, Haibin Huang, Guy Van den Broeck, Stefano Soatto
2020	J	`jnl`	SE4ML - Software Engineering for AI-ML-based Systems (Dagstuhl Seminar 20091). Dagstuhl Reports Kristian Kersting, Miryung Kim, Guy Van den Broeck, Thomas Zimmermann
2020	J	`jnl`	Scaling exact inference for discrete probabilistic programs. Proc. ACM Program. Lang. Steven Holtzen, Guy Van den Broeck, Todd D. Millstein
2020	A*	`conf`	Scaling up Hybrid Probabilistic Inference with Logical and Arithmetic Constraints via Message Passing. ICML Zhe Zeng, Paolo Morettin, Fanqi Yan, Antonio Vergari, Guy Van den Broeck
2020	J	`jnl`	Scaling up Hybrid Probabilistic Inference with Logical and Arithmetic Constraints via Message Passing. CoRR Zhe Zeng, Paolo Morettin, Fanqi Yan, Antonio Vergari, Guy Van den Broeck
2020	J	`jnl`	Semantic and Generalized Entropy Loss Functions for Semi-Supervised Deep Learning. Entropy Krzysztof Gajowniczek, Yitao Liang, Tal Friedman, Tomasz S. Zabkowski, Guy Van den Broeck
2020	—	`conf`	Strudel: Learning Structured-Decomposable Probabilistic Circuits. PGM Meihua Dang, Antonio Vergari, Guy Van den Broeck
2020	J	`jnl`	Strudel: Learning Structured-Decomposable Probabilistic Circuits. CoRR Meihua Dang, Antonio Vergari, Guy Van den Broeck
2020	A	`conf`	Symbolic Querying of Vector Spaces: Probabilistic Databases Meets Relational Embeddings. UAI Tal Friedman, Guy Van den Broeck
2020	J	`jnl`	Symbolic Querying of Vector Spaces: Probabilistic Databases Meets Relational Embeddings. CoRR Tal Friedman, Guy Van den Broeck
2019	A*	`conf`	Active inductive logic programming for code search. ICSE Aishwarya Sivaraman, Tianyi Zhang, Guy Van den Broeck, Miryung Kim
2019	A	`conf`	Efficient Search-Based Weighted Model Integration. UAI Zhe Zeng, Guy Van den Broeck
2019	J	`jnl`	Efficient Search-Based Weighted Model Integration. CoRR Zhe Zeng, Guy Van den Broeck
2019	A	`conf`	Generating and Sampling Orbits for Lifted Probabilistic Inference. UAI Steven Holtzen, Todd D. Millstein, Guy Van den Broeck
2019	J	`jnl`	Generating and Sampling Orbits for Lifted Probabilistic Inference. CoRR Steven Holtzen, Todd D. Millstein, Guy Van den Broeck
2019	J	`jnl`	Hybrid Probabilistic Inference with Logical Constraints: Tractability and Message Passing. CoRR Zhe Zeng, Fanqi Yan, Paolo Morettin, Antonio Vergari, Guy Van den Broeck
2019	J	`jnl`	LaTeS: Latent Space Distillation for Teacher-Student Driving Policy Learning. CoRR Albert Zhao, Tong He, Yitao Liang, Haibin Huang, Guy Van den Broeck, Stefano Soatto
2019	J	`jnl`	Learning Fair Naive Bayes Classifiers by Discovering and Eliminating Discrimination Patterns. CoRR YooJung Choi, Golnoosh Farnadi, Behrouz Babaki, Guy Van den Broeck
2019	A*	`conf`	Learning Logistic Circuits. AAAI Yitao Liang, Guy Van den Broeck
2019	J	`jnl`	Learning Logistic Circuits. CoRR Yitao Liang, Guy Van den Broeck
2019	—	`conf`	On Constrained Open-World Probabilistic Databases. AKBC Tal Friedman, Guy Van den Broeck
2019	A*	`conf`	On Constrained Open-World Probabilistic Databases. IJCAI Tal Friedman, Guy Van den Broeck
2019	J	`jnl`	On Constrained Open-World Probabilistic Databases. CoRR Tal Friedman, Guy Van den Broeck
2019	—	`conf`	On Hardware-Aware Probabilistic Frameworks for Resource Constrained Embedded Applications. EMC2@NeurIPS Laura Isabel Galindez Olascoaga, Wannes Meert, Nimish Shah, Guy Van den Broeck, Marian Verhelst
2019	A*	`conf`	On Tractable Computation of Expected Predictions. NeurIPS Pasha Khosravi, YooJung Choi, Yitao Liang, Antonio Vergari, Guy Van den Broeck
2019	J	`jnl`	On Tractable Computation of Expected Predictions. CoRR Pasha Khosravi, YooJung Choi, Yitao Liang, Antonio Vergari, Guy Van den Broeck
2019	—	`conf`	Scalable Rule Learning in Probabilistic Knowledge Bases. AKBC Arcchit Jain, Tal Friedman, Ondrej Kuzelka, Guy Van den Broeck, Luc De Raedt
2019	A*	`conf`	Smoothing Structured Decomposable Circuits. NeurIPS Andy Shih, Guy Van den Broeck, Paul Beame, Antoine Amarilli
2019	J	`jnl`	Smoothing Structured Decomposable Circuits. CoRR Andy Shih, Guy Van den Broeck, Paul Beame, Antoine Amarilli
2019	J	`jnl`	Symbolic Exact Inference for Discrete Probabilistic Programs. CoRR Steven Holtzen, Todd D. Millstein, Guy Van den Broeck
2019	A*	`conf`	Towards Hardware-Aware Tractable Learning of Probabilistic Models. NeurIPS Laura Isabel Galindez Olascoaga, Wannes Meert, Nimish Shah, Marian Verhelst, Guy Van den Broeck
2019	A*	`conf`	What to Expect of Classifiers? Reasoning about Logistic Regression with Missing Features. IJCAI Pasha Khosravi, Yitao Liang, YooJung Choi, Guy Van den Broeck
2019	J	`jnl`	What to Expect of Classifiers? Reasoning about Logistic Regression with Missing Features. CoRR Pasha Khosravi, Yitao Liang, YooJung Choi, Guy Van den Broeck
2018	A*	`conf`	A Semantic Loss Function for Deep Learning with Symbolic Knowledge. ICML Jingyi Xu, Zilu Zhang, Tal Friedman, Yitao Liang, Guy Van den Broeck
2018	J	`jnl`	Active Inductive Logic Programming for Code Search. CoRR Aishwarya Sivaraman, Tianyi Zhang, Guy Van den Broeck, Miryung Kim
2018	A*	`conf`	Approximate Knowledge Compilation by Online Collapsed Importance Sampling. NeurIPS Tal Friedman, Guy Van den Broeck
2018	J	`jnl`	Approximate Knowledge Compilation by Online Collapsed Importance Sampling. CoRR Tal Friedman, Guy Van den Broeck
2018	A*	`conf`	On Robust Trimming of Bayesian Network Classifiers. IJCAI YooJung Choi, Guy Van den Broeck
2018	J	`jnl`	On Robust Trimming of Bayesian Network Classifiers. CoRR YooJung Choi, Guy Van den Broeck
2018	A*	`conf`	Sound Abstraction and Decomposition of Probabilistic Programs. ICML Steven Holtzen, Guy Van den Broeck, Todd D. Millstein
2017	J	`jnl`	A Semantic Loss Function for Deep Learning with Symbolic Knowledge. CoRR Jingyi Xu, Zilu Zhang, Tal Friedman, Yitao Liang, Guy Van den Broeck
2017	J	`jnl`	Algebraic model counting. J. Appl. Log. Angelika Kimmig, Guy Van den Broeck, Luc De Raedt
2017	—	`conf`	Coded machine learning: Joint informed replication and learning for linear regression. Allerton Shahroze Kabir, Frederic Sala, Guy Van den Broeck, Lara Dolecek
2017	A	`conf`	Combining Stochastic Constraint Optimization and Probabilistic Programming - From Knowledge Compilation to Constraint Solving. CP Anna L. D. Latour, Behrouz Babaki, Anton Dries, Angelika Kimmig, Guy Van den Broeck, Siegfried Nijssen
2017	J	`jnl`	Domain Recursion for Lifted Inference with Existential Quantifiers. CoRR Seyed Mehran Kazemi, Angelika Kimmig, Guy Van den Broeck, David Poole
2017	J	`jnl`	Don't Fear the Bit Flips: Optimized Coding Strategies for Binary Classification. CoRR Frederic Sala, Shahroze Kabir, Guy Van den Broeck, Lara Dolecek
2017	A	`conf`	Learning the Structure of Probabilistic Sentential Decision Diagrams. UAI Yitao Liang, Jessa Bekker, Guy Van den Broeck
2017	A*	`conf`	Open-World Probabilistic Databases: An Abridged Report. IJCAI Ismail Ilkan Ceylan, Adnan Darwiche, Guy Van den Broeck
2017	A*	`conf`	Optimal Feature Selection for Decision Robustness in Bayesian Networks. IJCAI YooJung Choi, Adnan Darwiche, Guy Van den Broeck
2017	A	`conf`	Probabilistic Program Abstractions. UAI Steven Holtzen, Todd D. Millstein, Guy Van den Broeck
2017	J	`jnl`	Probabilistic Program Abstractions. CoRR Steven Holtzen, Todd D. Millstein, Guy Van den Broeck
2017	J	`jnl`	Query Processing on Probabilistic Data: A Survey. Found. Trends Databases Guy Van den Broeck, Dan Suciu
2016	A*	`conf`	Component Caching in Hybrid Domains with Piecewise Polynomial Densities. AAAI Vaishak Belle, Guy Van den Broeck, Andrea Passerini
2016	J	`jnl`	Exploiting local and repeated structure in Dynamic Bayesian Networks. Artif. Intell. Jonas Vlasselaer, Wannes Meert, Guy Van den Broeck, Luc De Raedt
2016	A*	`conf`	First-Order Model Counting in a Nutshell. IJCAI Guy Van den Broeck
2016	A*	`conf`	Hashing-Based Approximate Probabilistic Inference in Hybrid Domains: An Abridged Report. IJCAI Vaishak Belle, Guy Van den Broeck, Andrea Passerini
2016	J	`jnl`	Lifted generative learning of Markov logic networks. Mach. Learn. Jan Van Haaren, Guy Van den Broeck, Wannes Meert, Jesse Davis
2016	—	`conf`	New Liftable Classes for First-Order Probabilistic Inference. NIPS Seyed Mehran Kazemi, Angelika Kimmig, Guy Van den Broeck, David Poole
2016	J	`jnl`	New Liftable Classes for First-Order Probabilistic Inference. CoRR Seyed Mehran Kazemi, Angelika Kimmig, Guy Van den Broeck, David Poole
2016	—	`conf`	Open World Probabilistic Databases (Extended Abstract). Description Logics Ismail Ilkan Ceylan, Adnan Darwiche, Guy Van den Broeck
2016	A*	`conf`	Open-World Probabilistic Databases. KR Ismail Ilkan Ceylan, Adnan Darwiche, Guy Van den Broeck
2016	—	`conf`	Quantifying Causal Effects on Query Answering in Databases. TaPP Babak Salimi, Leopoldo E. Bertossi, Dan Suciu, Guy Van den Broeck
2016	J	`jnl`	Quantifying Causal Effects on Query Answering in Databases. CoRR Babak Salimi, Leopoldo E. Bertossi, Dan Suciu, Guy Van den Broeck
2016	—	`conf`	Robust channel coding strategies for machine learning data. Allerton Kayvon Mazooji, Frederic Sala, Guy Van den Broeck, Lara Dolecek
2016	J	`jnl`	T Int. J. Approx. Reason. Jonas Vlasselaer, Guy Van den Broeck, Angelika Kimmig, Wannes Meert, Luc De Raedt
2015	A*	`conf`	Anytime Inference in Probabilistic Logic Programs with Tp-Compilation. IJCAI Jonas Vlasselaer, Guy Van den Broeck, Angelika Kimmig, Wannes Meert, Luc De Raedt
2015	A	`conf`	Efficient Algorithms for Bayesian Network Parameter Learning from Incomplete Data. UAI Guy Van den Broeck, Karthika Mohan, Arthur Choi, Adnan Darwiche, Judea Pearl
2015	A	`conf`	Hashing-Based Approximate Probabilistic Inference in Hybrid Domains. UAI Vaishak Belle, Guy Van den Broeck, Andrea Passerini
2015	A*	`conf`	Inducing Probabilistic Relational Rules from Probabilistic Examples. IJCAI Luc De Raedt, Anton Dries, Ingo Thon, Guy Van den Broeck, Mathias Verbeke
2015	J	`jnl`	Inference and learning in probabilistic logic programs using weighted Boolean formulas. Theory Pract. Log. Program. Daan Fierens, Guy Van den Broeck, Joris Renkens, Dimitar Sht. Shterionov, Bernd Gutmann, Ingo Thon, Gerda Janssens, Luc De Raedt
2015	J	`jnl`	Knowledge Compilation of Logic Programs Using Approximation Fixpoint Theory. CoRR Bart Bogaerts, Guy Van den Broeck
2015	J	`jnl`	Knowledge compilation of logic programs using approximation fixpoint theory. Theory Pract. Log. Program. Bart Bogaerts, Guy Van den Broeck
2015	A*	`conf`	Lifted Probabilistic Inference for Asymmetric Graphical Models. AAAI Guy Van den Broeck, Mathias Niepert
2015	A*	`conf`	On the Role of Canonicity in Knowledge Compilation. AAAI Guy Van den Broeck, Adnan Darwiche
2015	—	`conf`	ProbLog2: Probabilistic Logic Programming. ECML/PKDD (3) Anton Dries, Angelika Kimmig, Wannes Meert, Joris Renkens, Guy Van den Broeck, Jonas Vlasselaer, Luc De Raedt
2015	A*	`conf`	Probabilistic Inference in Hybrid Domains by Weighted Model Integration. IJCAI Vaishak Belle, Andrea Passerini, Guy Van den Broeck
2015	—	`conf`	Probability Distributions over Structured Spaces. AAAI Spring Symposia Arthur Choi, Guy Van den Broeck, Adnan Darwiche
2015	J	`jnl`	Reports of the AAAI 2014 Conference Workshops. AI Mag. Stefano V. Albrecht, André da Motta Salles Barreto, Darius Braziunas, David L. Buckeridge, Heriberto Cuayáhuitl, Nina Dethlefs, Markus Endres, Amir-massoud Farahmand, Mark Fox, Lutz Frommberger, Sam Ganzfried, Yolanda Gil, Sébastien Guillet, Lawrence E. Hunter, Arnav Jhala, Kristian Kersting, George Dimitri Konidaris, Freddy Lécué, Sheila A. McIlraith, Sriraam Natarajan, Zeinab Noorian, David Poole, Rémi Ronfard, Alessandro Saffiotti, Arash Shaban-Nejad, Biplav Srivastava, Gerald Tesauro, Rosario Uceda-Sosa, Guy Van den Broeck, Martijn van Otterlo, Byron C. Wallace, Paul Weng, Jenna Wiens, Jie Zhang
2015	A*	`conf`	Symmetric Weighted First-Order Model Counting. PODS Paul Beame, Guy Van den Broeck, Eric Gribkoff, Dan Suciu
2015	—	`conf`	Symmetry in Probabilistic Databases. AMW Guy Van den Broeck
2015	—	`conf`	Towards High-Level Probabilistic Reasoning with Lifted Inference. AAAI Spring Symposia Guy Van den Broeck
2015	—	`conf`	Tractable Learning for Complex Probability Queries. NIPS Jessa Bekker, Jesse Davis, Arthur Choi, Adnan Darwiche, Guy Van den Broeck
2015	A*	`conf`	Tractable Learning for Structured Probability Spaces: A Case Study in Learning Preference Distributions. IJCAI Arthur Choi, Guy Van den Broeck, Adnan Darwiche
2014	J	`jnl`	Efficient Algorithms for Bayesian Network Parameter Learning from Incomplete Data. CoRR Guy Van den Broeck, Karthika Mohan, Arthur Choi, Judea Pearl
2014	—	`conf`	Efficient Probabilistic Inference for Dynamic Relational Models. StarAI@AAAI Jonas Vlasselaer, Wannes Meert, Guy Van den Broeck, Luc De Raedt
2014	A*	`conf`	Explanation-Based Approximate Weighted Model Counting for Probabilistic Logics. AAAI Joris Renkens, Angelika Kimmig, Guy Van den Broeck, Luc De Raedt
2014	—	`conf`	Explanation-Based Approximate Weighted Model Counting for Probabilistic Logics. StarAI@AAAI Joris Renkens, Angelika Kimmig, Guy Van den Broeck, Luc De Raedt
2014	J	`jnl`	Lifted Probabilistic Inference for Asymmetric Graphical Models. CoRR Guy Van den Broeck, Mathias Niepert
2014	J	`jnl`	Lifted Probabilistic Inference: A Guide for the Database Researcher. IEEE Data Eng. Bull. Eric Gribkoff, Dan Suciu, Guy Van den Broeck
2014	J	`jnl`	On the Role of Canonicity in Bottom-up Knowledge Compilation. CoRR Guy Van den Broeck, Adnan Darwiche
2014	—	`conf`	Preface. StarAI@AAAI Guy Van den Broeck, Kristian Kersting, Sriraam Natarajan, David Poole
2014	A*	`conf`	Probabilistic Sentential Decision Diagrams. KR Doga Kisa, Guy Van den Broeck, Arthur Choi, Adnan Darwiche
2014	A*	`conf`	Skolemization for Weighted First-Order Model Counting. KR Guy Van den Broeck, Wannes Meert, Adnan Darwiche
2014	J	`jnl`	Symmetric Weighted First-Order Model Counting. CoRR Paul Beame, Guy Van den Broeck, Eric Gribkoff, Dan Suciu
2014	A*	`conf`	Tractability through Exchangeability: A New Perspective on Efficient Probabilistic Inference. AAAI Mathias Niepert, Guy Van den Broeck
2014	J	`jnl`	Tractability through Exchangeability: A New Perspective on Efficient Probabilistic Inference. CoRR Mathias Niepert, Guy Van den Broeck
2014	—	`conf`	Understanding the Complexity of Lifted Inference and Asymmetric Weighted Model Counting. StarAI@AAAI Eric Gribkoff, Guy Van den Broeck, Dan Suciu
2014	A	`conf`	Understanding the Complexity of Lifted Inference and Asymmetric Weighted Model Counting. UAI Eric Gribkoff, Guy Van den Broeck, Dan Suciu
2014	J	`jnl`	Understanding the Complexity of Lifted Inference and Asymmetric Weighted Model Counting. CoRR Eric Gribkoff, Guy Van den Broeck, Dan Suciu
2013	A	`conf`	Completeness Results for Lifted Variable Elimination. AISTATS Nima Taghipour, Daan Fierens, Guy Van den Broeck, Jesse Davis, Hendrik Blockeel
2013	J	`jnl`	Inference and learning in probabilistic logic programs using weighted Boolean formulas CoRR Daan Fierens, Guy Van den Broeck, Joris Renkens, Dimitar Sht. Shterionov, Bernd Gutmann, Ingo Thon, Gerda Janssens, Luc De Raedt
2013	—	`conf`	Lifted Generative Parameter Learning. StarAI@AAAI Guy Van den Broeck, Wannes Meert, Jesse Davis
2013	—	`—`	Lifted Inference and Learning in Statistical Relational Models (Eerste-orde inferentie en leren in statistische relationele modellen). Guy Van den Broeck
2013	—	`conf`	On the Completeness of Lifted Variable Elimination. StarAI@AAAI Nima Taghipour, Daan Fierens, Guy Van den Broeck, Jesse Davis, Hendrik Blockeel
2013	—	`conf`	On the Complexity and Approximation of Binary Evidence in Lifted Inference. StarAI@AAAI Guy Van den Broeck
2013	—	`conf`	On the Complexity and Approximation of Binary Evidence in Lifted Inference. NIPS Guy Van den Broeck, Adnan Darwiche
2013	J	`jnl`	On the Complexity and Approximation of Binary Evidence in Lifted Inference. CoRR Guy Van den Broeck, Adnan Darwiche
2013	J	`jnl`	Skolemization for Weighted First-Order Model Counting. CoRR Guy Van den Broeck, Wannes Meert, Adnan Darwiche
2012	—	`conf`	A Particle Filter for Probabilistic Dynamic Relational Domains. StarAI@UAI Davide Nitti, Tinne De Laet, McElory Hoffmann, Ingo Thon, Guy Van den Broeck, Luc De Raedt
2012	J	`jnl`	Algebraic Model Counting CoRR Angelika Kimmig, Guy Van den Broeck, Luc De Raedt
2012	A*	`conf`	Conditioning in First-Order Knowledge Compilation and Lifted Probabilistic Inference. AAAI Guy Van den Broeck, Jesse Davis
2012	J	`jnl`	Inference in Probabilistic Logic Programs using Weighted CNF's CoRR Daan Fierens, Guy Van den Broeck, Ingo Thon, Bernd Gutmann, Luc De Raedt
2012	—	`conf`	Liftability of Probabilistic Inference: Upper and Lower Bounds. StarAI@UAI Manfred Jaeger, Guy Van den Broeck
2012	J	`jnl`	Lifted Relax, Compensate and then Recover: From Approximate to Exact Lifted Probabilistic Inference CoRR Guy Van den Broeck, Arthur Choi, Adnan Darwiche
2012	A	`conf`	Lifted Relax, Compensate and then Recover: From Approximate to Exact Lifted Probabilistic Inference. UAI Guy Van den Broeck, Arthur Choi, Adnan Darwiche
2012	J	`jnl`	Lifted Variable Elimination: A Novel Operator and Completeness Results CoRR Nima Taghipour, Daan Fierens, Guy Van den Broeck, Jesse Davis, Hendrik Blockeel
2012	J	`jnl`	k-Optimal: a novel approximate inference algorithm for ProbLog. Mach. Learn. Joris Renkens, Guy Van den Broeck, Siegfried Nijssen
2011	A*	`conf`	An Algebraic Prolog for Reasoning about Possible Worlds. AAAI Angelika Kimmig, Guy Van den Broeck, Luc De Raedt
2011	A	`conf`	Inference in Probabilistic Logic Programs using Weighted CNF's. UAI Daan Fierens, Guy Van den Broeck, Ingo Thon, Bernd Gutmann, Luc De Raedt
2011	A*	`conf`	Lifted Probabilistic Inference by First-Order Knowledge Compilation. IJCAI Guy Van den Broeck, Nima Taghipour, Wannes Meert, Jesse Davis, Luc De Raedt
2011	—	`conf`	On the Completeness of First-Order Knowledge Compilation for Lifted Probabilistic Inference. NIPS Guy Van den Broeck
2011	—	`conf`	Relational Learning for Football-Related Predictions. ILP (Late Breaking Papers) Jan Van Haaren, Guy Van den Broeck
2011	B	`conf`	k-Optimal: A Novel Approximate Inference Algorithm for ProbLog. ILP Joris Renkens, Guy Van den Broeck, Siegfried Nijssen
2010	A*	`conf`	DTProbLog: A Decision-Theoretic Probabilistic Prolog. AAAI Guy Van den Broeck, Ingo Thon, Martijn van Otterlo, Luc De Raedt
2010	—	`conf`	Probabilistic Programming for Planning Problems. StarAI@AAAI Ingo Thon, Bernd Gutmann, Guy Van den Broeck
2009	C	`conf`	Monte-Carlo Tree Search in Poker Using Expected Reward Distributions. ACML Guy Van den Broeck, Kurt Driessens, Jan Ramon