After a hiatus, a new series of blogs posts. Do differential geometry and algebraic topology sound too exotic for ML? In recent works, we show that tools from these fields bring a new perspective on graph neural networks
This geometric view on deep learning is the convergence of many old and recent research threads and joint work with @joanbruna@PetarV_93 and @TacoCohen
It was a new and rewarding experience, from which I learned a lot. I was surprised that such a technical topic would attract >200K views and >6K claps in less than half a year.