Hi.
I am wondering if the (extended) Kalman filter optimizer can be applied to classification problems. I am interested in using a training code which is designed for molecular property prediction (both regression and classification problems can be considered). It uses PyTorch deep learning framework and the torch optimizers. From the N2P2 paper, it is clear that the Kalman filter performs much better than Adam and SGD. I am very curious to see if the Kalman filter optimizer can be used in that code and if it can improve the training performance. I also need to know if it's straightforward to write a python version of this optimizer. Many thanks.
Hi. I am wondering if the (extended) Kalman filter optimizer can be applied to classification problems. I am interested in using a training code which is designed for molecular property prediction (both regression and classification problems can be considered). It uses PyTorch deep learning framework and the torch optimizers. From the N2P2 paper, it is clear that the Kalman filter performs much better than Adam and SGD. I am very curious to see if the Kalman filter optimizer can be used in that code and if it can improve the training performance. I also need to know if it's straightforward to write a python version of this optimizer. Many thanks.