That's a nice paper. There is also an interesting, but very niche line of using gradient boosting as a classification head for neural networks. Gradient flows through it normally, after all, just tree addition is used instead of gradient descent steps. But sadly I could not find any trustworthy open sourced implementation of this approach. If this works, it could bridge a gap between deep learning and boosting models.