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Affinity Event
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Graph Neural Network-Enhanced Multi-Task Learning for Menstrual Disorder Prediction Using Multi-Omics Data
Comfort Adesina
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Workshop
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Convolutional Hierarchical Deep Learning Neural Networks-Tensor Decomposition (C-HiDeNN-TD): a scalable surrogate modeling approach for large-scale physical systems
Jiachen Guo · Chanwook Park · Xiaoyu Xie · Zhongsheng Sang · Gregory J. Wagner · Kam Liu
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Workshop
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Convergence Guarantees for Neural Network-Based Hamilton–Jacobi Reachability
William Hofgard
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Workshop
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Improving the Gaussian Approximation in Neural Networks: Para-Gaussians and Edgeworth Expansions
Mihai Nica · Janosch Ortmann
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Workshop
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Bayesian Treatment of the Spectrum of the Empirical Kernel in (Sub)Linear-Width Neural Networks
Ouns El Harzli · Bernardo Grau
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Poster
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Wed 16:30
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On Neural Networks as Infinite Tree-Structured Probabilistic Graphical Models
Boyao Li · Alexander Thomson · houssam nassif · Matthew Engelhard · David Page
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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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Probabilistic Fusion Approach for Robust Battery Prognostics
Jokin Alcibar
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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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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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Hi-fi functional priors by learning activations
Marcin Sendera · Amin Sorkhei · Tomasz Kuśmierczyk
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