![]() ![]() Zhe Zeng, Paolo Morettin, Fanqi Yan, Antonio Vergari and Guy Van den Broeck. Scaling Exact Inference for Discrete Probabilistic Programs, In Proc. Steven Holtzen, Guy Van den Broeck and Todd Millstein. Counterexample-Guided Learning of Monotonic Neural Networks, In Advances in Neural Information Processing Systems 33 (NeurIPS), 2020. Oral spotlight presentation, acceptance rate 385/9454 = 4.1%Īishwarya Sivaraman, Golnoosh Farnadi, Todd Millstein and Guy Van den Broeck. Probabilistic Inference with Algebraic Constraints: Theoretical Limits and Practical Approximations, In Advances in Neural Information Processing Systems 33 (NeurIPS), 2020. IEEE Micro top picks 2022 honorable mention Logical Abstractions for Noisy Variational Quantum Algorithm Simulation, In Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2021. Yipeng Huang, Steven Holtzen, Todd Millstein, Guy Van den Broeck and Margaret R. Juice: A Julia Package for Logic and Probabilistic Circuits, In Proceedings of the 35th AAAI Conference on Artificial Intelligence (Demo Track), 2021. Meihua Dang, Pasha Khosravi, Yitao Liang, Antonio Vergari and Guy Van den Broeck. Group Fairness by Probabilistic Modeling with Latent Fair Decisions, In Proceedings of the 35th AAAI Conference on Artificial Intelligence, 2021. YooJung Choi, Meihua Dang and Guy Van den Broeck. Long presentation, acceptance rate 166/5513 = 3% Probabilistic Generating Circuits, In Proceedings of the 38th International Conference on Machine Learning (ICML), 2021. Honghua Zhang, Brendan Juba and Guy Van den Broeck. Tractable Computation of Expected Kernels, In Proceedings of the 37th Conference on Uncertainty in Aritifical Intelligence (UAI), 2021. Wenzhe Li, Zhe Zeng, Antonio Vergari and Guy Van den Broeck. Oral full presentation, acceptance rate 55/9122 = 0.6% A Compositional Atlas of Tractable Circuit Operations for Probabilistic Inference, In Advances in Neural Information Processing Systems 34 (NeurIPS), 2021. Oral spotlight presentation, acceptance rate 340/9122 = 3.7%Īntonio Vergari, YooJung Choi, Anji Liu, Stefano Teso and Guy Van den Broeck. Tractable Regularization of Probabilistic Circuits, In Advances in Neural Information Processing Systems 34 (NeurIPS), 2021. PYLON: A PyTorch Framework for Learning with Constraints, In Proceedings of the 36th AAAI Conference on Artificial Intelligence (Demo Track), 2022.Īnji Liu and Guy Van den Broeck. Kareem Ahmed, Tao Li, Thy Ton, Quan Guo, Kai-Wei Chang, Parisa Kordjamshidi, Vivek Srikumar, Guy Van den Broeck and Sameer Singh. Solving Marginal MAP Exactly by Probabilistic Circuit Transformations, In Proceedings of the 25th International Conference on Artificial Intelligence and Statistics (AISTATS), 2022. YooJung Choi, Tal Friedman and Guy Van den Broeck. Oral spotlight presentation, acceptance rate 176/3391 = 5.2% Lossless Compression with Probabilistic Circuits, In Proceedings of the International Conference on Learning Representations (ICLR), 2022. Sparse Probabilistic Circuits via Pruning and Growing, In Advances in Neural Information Processing Systems 35 (NeurIPS), 2022.Īnji Liu, Stephan Mandt and Guy Van den Broeck. Meihua Dang, Anji Liu and Guy Van den Broeck.
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