A probabilistic circuit for imputing missing tabular data
using a sum-product network to flexibly impute missing data in Kaggle's Titanic dataset
On the Turing Test and Large Language Models
I argue we Humans are more than next-state prediction machines.
Concept-Bottleneck Modelling for Interpretable Melanoma Classification
A research project adopting the concept-bottleneck modelling technique for interpretable melanoma classification.
Review of the paper Prediction of mechanistic subtypes of Parkinson's using patient derived stem cell models
comments on a paper that leverages deep learning to classify cells into Parkinson's subtypes
Review of the paper A Deep Learning Approach to Antibiotic Discovery
comments on the paper "A Deep Learning Approach to Antibiotic Discovery", with a brief step-by-step algorithm how message passsing works in a graph neural network