BIOENGINEER

Simulation-Based Deep Learning Estimates Cell-Free DNA Tumor Fraction with Uncertainty

Researchers developed purNPE, a simulation-based Bayesian deep-learning framework that enables uncertainty-aware tumor ...
BIOENGINEER

Bayesian Framework Merges Clinical Expertise With Machine Learning Diagnosis

A new Bayesian framework called PIML combines machine learning analysis of electrical impedance signals with clinical prior ...
GitHub

Bayesian distillation with Behavioral Tuning (BBT)

Researchers must often choose between Bayesian or neural network models of behavior, two paradigms with complementary strengths and weaknesses. An ideal paradigm would facilitate testing many kinds of ...
Nature

Probabilistic machine learning and artificial intelligence

Discover the latest articles and news in related subjects. The key idea behind the probabilistic framework to machine learning is that learning can be thought of as inferring plausible models to ...
GitHub

README.md

The main scripts automatically choose CUDA when available, then Apple Metal (MPS), and otherwise CPU, through train_utils.get_best_device(). Training the approximately 30-million-parameter networks ...
lse

Bayesian Machine Learning

This course is available on the MSc in Applied Social Data Science, MSc in Data Science, MSc in Econometrics and Mathematical Economics, MSc in Financial Statistics, MSc in Financial Statistics ...