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Workshop
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Automatic Rao-Blackwellization for Sequential Monte Carlo with Belief Propagation
Waïss Azizian · Guillaume Baudart · Marc Lelarge
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Workshop
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Sequential Monte Carlo Steering of Large Language Models using Probabilistic Programs
Alexander Lew · Tan Zhi-Xuan · Gabriel Grand · Vikash Mansinghka
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Workshop
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Sat 12:50
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Disentangling gamma-ray observations of the Galactic Center using differentiable probabilistic programming
Yitian Sun · Siddharth Mishra-Sharma · Tracy Slatyer · Yuqing Wu
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Workshop
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Fri 15:15
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Inferring the Goals of Communicating Agents from Actions and Instructions
Lance Ying · Tan Zhi-Xuan · Vikash Mansinghka · Josh Tenenbaum
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Workshop
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dPASP: A Comprehensive Differentiable Probabilistic Answer Set Programming Environment For Neurosymbolic Learning and Reasoning
Renato Geh · Jonas Goncalves · Igor Silveira · Denis D Maua · Fabio Cozman
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Poster
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Thu 13:30
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Automatically marginalized MCMC in probabilistic programming
Jinlin Lai · Javier Burroni · Hui Guan · Daniel Sheldon
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Workshop
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VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming
Eleonora Misino · Giuseppe Marra · Emanuele Sansone
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Workshop
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Dimensionality Reduction as Probabilistic Inference
Aditya Ravuri · Francisco Vargas · Vidhi Ramesh · Neil Lawrence
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