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Poster
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Wed 16:30
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Entropy testing and its application to testing Bayesian networks
Clément L Canonne · Qiping Yang
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Poster
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Wed 16:30
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Intervention and Conditioning in Causal Bayesian Networks
Sainyam Galhotra · Joseph Halpern
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Workshop
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Sun 11:20
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Robust Learning in Bayesian Parallel Branching Graph Neural Networks: The Narrow Width Limit
Zechen Zhang · Haim Sompolinsky
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Workshop
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Robust Domain Generalisation with Causal Invariant Bayesian Neural Networks
Gaël Gendron · Michael Witbrock · Gillian Dobbie
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Affinity Event
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Sparse Partial Bayesian Networks: Efficient Uncertainty Quantification in Medical Image Analysis
Zeinab Abboud · Herve Lombaert · Samuel Kadoury
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Workshop
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Probabilistic Fusion Approach for Robust Battery Prognostics
Jokin Alcibar
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Workshop
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A Bayesian Approach Towards Crowdsourcing the Truths from LLMs
Peiran Yao · Jerin George Mathew · Shehraj Singh · Donatella Firmani · Denilson Barbosa
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Poster
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Thu 11:00
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Unrolled denoising networks provably learn to perform optimal Bayesian inference
Aayush Karan · Kulin Shah · Sitan Chen · Yonina Eldar
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Workshop
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Can Bayesian Neural Networks Make Confident Predictions?
Katharine Fisher
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Workshop
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Sun 12:00
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Analog Bayesian neural networks are insensitive to the shape of the weight distribution
Ravi G Patel · Tianyao Xiao · Sapan Agarwal · Christopher H Bennett
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Poster
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Wed 11:00
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Shaving Weights with Occam's Razor: Bayesian Sparsification for Neural Networks using the Marginal Likelihood
Rayen Dhahri · Alexander Immer · Bertrand Charpentier · Stephan Günnemann · Vincent Fortuin
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Workshop
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Preconditioned Crank-Nicolson Algorithms for Wide Bayesian Neural Networks
Lucia Pezzetti · Stefano Favaro · Stefano Peluchetti
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