NeurIPS 2019
Sun Dec 8th through Sat the 14th, 2019 at Vancouver Convention Center
Paper ID:6218
Title:DTWNet: a Dynamic Time Warping Network

The paper proposes an approach for incorporating Dynamic Time Warping kernels in a neural network. The method is shown to perform well on both synthetic and real data. The reviewers think that this is a novel and potentially impactful contribution to the community. The concerns raised by the reviewers were successfully addressed by the authors or clarified during the discussion. We encourage the authors to improve the presentation of the paper and to add the results as indicated in the rebuttal.