Updated 6 months ago
LaplaceRedux
Effortless Bayesian Deep Learning through Laplace Approximation for Flux.jl neural networks.
Updated 5 months ago
https://github.com/aaltoml/sfr-experiments
Code accompanying ICLR 2024 paper "Function-space Parameterization of Neural Networks for Sequential Learning"
Updated 6 months ago
bears
Codebase for BEARS Make Neuro-Symbolic Models Aware of their Reasoning Shortcuts.
Updated 6 months ago
uncertainty-bench
Code repository for **Benchmarking Scalable Predictive Uncertainty in Text Classification**, by Jordy Van Landeghem, Matthew Blaschko, Bertrand Anckaert and Marie-Francine Moens.
Updated 6 months ago
bayesian-disruption-prediction
Research-repository: Bayesian neural networks for predicting disruptions using EFIT and diagnostic data in KSTAR