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Tutorial
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Mon 8:00 |
Probabilistic Circuits: Representations, Inference, Learning and Applications Antonio Vergari · YooJung Choi · Robert Peharz |
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Workshop
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Symbolic Causal Inference via Operations on Probabilistic Circuits Benjie Wang · Marta Kwiatkowska |
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Poster
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Wed 14:00 |
Probabilistic Transformer: Modelling Ambiguities and Distributions for RNA Folding and Molecule Design Jörg Franke · Frederic Runge · Frank Hutter |
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Poster
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Thu 14:00 |
Deterministic Langevin Monte Carlo with Normalizing Flows for Bayesian Inference Richard Grumitt · Biwei Dai · Uros Seljak |
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Poster
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Thu 9:00 |
Rethinking Variational Inference for Probabilistic Programs with Stochastic Support Tim Reichelt · Luke Ong · Thomas Rainforth |
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Poster
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Trustworthy Monte Carlo Juha Harviainen · Mikko Koivisto · Petteri Kaski |
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Poster
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Thu 9:00 |
Sparse Gaussian Process Hyperparameters: Optimize or Integrate? Vidhi Lalchand · Wessel Bruinsma · David Burt · Carl Edward Rasmussen |
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Poster
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Thu 14:00 |
Black-box coreset variational inference Dionysis Manousakas · Hippolyt Ritter · Theofanis Karaletsos |
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Poster
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Wed 14:00 |
Foundation Posteriors for Approximate Probabilistic Inference Mike Wu · Noah Goodman |
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Poster
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Tue 14:00 |
Continuously Tempered PDMP samplers Matthew Sutton · Robert Salomone · Augustin Chevallier · Paul Fearnhead |
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Poster
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Tue 9:00 |
NSNet: A General Neural Probabilistic Framework for Satisfiability Problems Zhaoyu Li · Xujie Si |
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Poster
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Thu 9:00 |
Semantic Probabilistic Layers for Neuro-Symbolic Learning Kareem Ahmed · Stefano Teso · Kai-Wei Chang · Guy Van den Broeck · Antonio Vergari |