Posts Index

On Differentiable Neural Architecture Search, DARTS, and Auto-Deeplab

I recently stumbled across a very interesting paper (thanks a lot, Noam!) titled “Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation”, by C. Liu et al.; the authors were...

Deep Learning, Heteroscedasticity, and TensorFlow Probability

It is very often the case that Machine Learning models calculate point estimates of quantities of interest; a typical example would be: given the number of rooms, size, and location...

{Life Science} meets IT Hackathon, or how we built a wearable device in a weekend

Last weekend I got the chance to participate to the {Life Science} meets IT Hackathon, and it was really great! I met so many interesting people, been advised from awesome...

Bayesian Inference, Science, and the Paranormal

Fun fact: Bayes’ Theorem, arguably one of the most important theorems in statistics, was discovered by Reverend Thomas Bayes, a Presbyterian minister/mathematician/theologian, and it was published posthumously thanks to Richard...

Time Series Nested Cross-Validation with scikit-learn

In this short post, I will show how to perform nested cross-validation on time series data with the scikit-learn function TimeSeriesSplit; this function by default just splits the data into...

A Game of Throws

I recently had the chance to mentor a high school student who was doing an internship at the Max Planck institute for Nuclear Physics. Since every project related to my...

Hello, World!

Hello everyone!