Yes, hurdle models can be combined with machine learning techniques to enhance their capabilities. Recent research has integrated hurdle models with other statistical methods and machine learning techniques, such as the low-rank hurdle model, which combines the hurdle approach with low-rank modeling to handle data with excess zeros or missing values. Another example is the ES Attack, a model stealing attack against deep neural networks that leverages hurdle models to overcome data hurdles and achieve functionally equivalent copies of victim models.