Dilated Convolution for Time Series Learning
Wang Zhang, Subhro Das, et al.
ICASSP 2025
It is shown that mean queue sizes, mean waiting times, and throughputs in closed multiple-chain queuing networks which have product-form solution can be computed recursively without computing product terms and normalization constants. The resulting computational procedures have improved properties (avoidance of numerical problems and, in some cases, fewer operations) compared to previous algorithms. Furthermore, the new algorithms have a physically meaningful interpretation which provides the basis for heuristic extensions that allow the approximate solution of networks with a very large number of closed chains, and which is shown to be asymptotically valid for large chain populations. © 1980, ACM. All rights reserved.
Wang Zhang, Subhro Das, et al.
ICASSP 2025
Bing Zhang, Mikio Takeuchi, et al.
NAACL 2025
Ankit Vishnubhotla, Charlotte Loh, et al.
NeurIPS 2023
Ryan Johnson, Ippokratis Pandis
CIDR 2013