the previous state of the art which basically means that this model is more robust and that's a direct consequence of the noise now one last thing i should say is that the student here is also larger than the teacher so that's also one thing that makes the student better so what you will make is the student model is larger than the teacher model as a model as the architecture so in combination with the noise right here with the noise in combination that means the student model is probably able to capture more of the variance of the data it's