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Effortless Bayesian Deep Learning Through Laplace Redux | Patrick Altmeyer | JuliaCon 2022
[09x09] Bayesian Deep Learning through Laplace's Approximation using LaplaceRedux.jl and Flux.jl
Large-Scale Machine Learning Inference With... | Caleb Winston, Cailin Winston | JuliaCon 2022
Challenges and Pitfalls of Bayesian Unlearning
Scalable Bayesian Deep Learning with Modern Laplace Approximations
What's new in Trustworthy AI in Julia (Taija)? | Altmeyer | JuliaCon 2024
Better Deep Neural Networks with Bayesian Bidirectional Backpropagation
Explaining Black-Box Models Through Counterfactuals | Patrick Altmeyer | JuliaCon 2022
An Introduction to BOMBs.jl | David Gomez-Cabeza | JuliaCon 2022
Miles Cranmer | A Bayesian neural network predicts the dissolution of compact planetary systems
Predictive Uncertainty Quantification in Machine Learning | Patrick Altmeyer | JuliaCon 2023
Random Utility Models with DiscreteChoiceModels.jl | Matthew Wigginton Bhagat-Conway | JuliaCon 2022