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Partially Stochastic Infinitely Deep Bayesian Neural Networks
International Conference on Machine Learning (ICML), 2024
5 February 2024
Sergio Calvo-Ordoñez
Matthieu Meunier
Francesco Piatti
Yuantao Shi
BDL
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Papers citing
"Partially Stochastic Infinitely Deep Bayesian Neural Networks"
3 / 3 papers shown
On Vanishing Gradients, Over-Smoothing, and Over-Squashing in GNNs: Bridging Recurrent and Graph Learning
Alvaro Arroyo
Alessio Gravina
Benjamin Gutteridge
Federico Barbero
Claudio Gallicchio
Xiaowen Dong
Michael M. Bronstein
P. Vandergheynst
395
40
0
15 Feb 2025
Optimal Subspace Inference for the Laplace Approximation of Bayesian Neural Networks
Josua Faller
Jörg Martin
BDL
383
1
0
04 Feb 2025
Uncertainty Modeling in Graph Neural Networks via Stochastic Differential Equations
International Conference on Learning Representations (ICLR), 2024
Richard Bergna
Sergio Calvo-Ordoñez
Felix L. Opolka
Pietro Lio
Jose Miguel Hernandez-Lobato
BDL
694
9
0
28 Aug 2024
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