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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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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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Workshop
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Variational Last Layers for Bayesian Optimization
Paul Brunzema · Mikkel Jordahn · John Willes · Sebastian Trimpe · Jasper Snoek · James Harrison
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Workshop
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Dimension Deficit: Is 3D a Step Too Far for Optimizing Molecules?
Andres Guzman-Cordero · Luca Thiede · Gary Tom · Alan Aspuru-Guzik · Felix Strieth-Kalthoff · Agustinus Kristiadi
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Poster
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Fri 11:00
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Learning from higher-order correlations, efficiently: hypothesis tests, random features, and neural networks
Eszter Szekely · Lorenzo Bardone · Federica Gerace · Sebastian Goldt
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