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Guy Van den Broeck

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Semantic Loss Functions for Neuro-Symbolic Structured Prediction

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May 12, 2024
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

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Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models

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Apr 15, 2024
Siyan Zhao, Daniel Israel, Guy Van den Broeck, Aditya Grover

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On the Challenges and Opportunities in Generative AI

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Feb 28, 2024
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 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

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Polynomial Semantics of Tractable Probabilistic Circuits

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Feb 14, 2024
Oliver Broadrick, Honghua Zhang, Guy Van den Broeck

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A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraints

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Dec 06, 2023
Kareem Ahmed, Kai-Wei Chang, Guy Van den Broeck

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A Unified Approach to Count-Based Weakly-Supervised Learning

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Nov 22, 2023
Vinay Shukla, Zhe Zeng, Kareem Ahmed, Guy Van den Broeck

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Expressive Modeling Is Insufficient for Offline RL: A Tractable Inference Perspective

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Oct 31, 2023
Xuejie Liu, Anji Liu, Guy Van den Broeck, Yitao Liang

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Probabilistically Rewired Message-Passing Neural Networks

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Oct 15, 2023
Chendi Qian, Andrei Manolache, Kareem Ahmed, Zhe Zeng, Guy Van den Broeck, Mathias Niepert, Christopher Morris

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High Dimensional Causal Inference with Variational Backdoor Adjustment

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Oct 09, 2023
Daniel Israel, Aditya Grover, Guy Van den Broeck

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Scaling Integer Arithmetic in Probabilistic Programs

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Jul 25, 2023
William X. Cao, Poorva Garg, Ryan Tjoa, Steven Holtzen, Todd Millstein, Guy Van den Broeck

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