Low-Budget Simulation-Based Inference with Bayesian Neural Networks
Simulation-based inference methods have been shown to be inaccurate in the data-poor
regime, when training simulations are limited or expensive. Under these circumstances, the …
regime, when training simulations are limited or expensive. Under these circumstances, the …
Forecasting cyber threats & pertinent alleviation technologies
ZJS Almahmoud - 2024 - eprints.bbk.ac.uk
Traditionally, cyber-attack detection relies on reactive techniques, where pattern-matching
algorithms help human experts to scan system logs and network traffic for known virus …
algorithms help human experts to scan system logs and network traffic for known virus …
Master thesis: Conservative Simulation-Based Inference with Bayesian Deep Learning
M de la Brassinne Bonardeaux - 2024 - matheo.uliege.be
Simulation-Based Inference (SBI) involves estimating parameters θ of a simulator that are
compatible with the observations x without evaluating the likelihood of the data. Currently …
compatible with the observations x without evaluating the likelihood of the data. Currently …