1 code implementation • 19 Feb 2024 • Kohei Obata, Koki Kawabata, Yasuko Matsubara, Yasushi Sakurai
(a) Interpretable: it characterizes the cluster with multiple networks, each of which is a sparse dependency network of a corresponding non-temporal mode, and thus provides visible and interpretable insights into the key relationships.
2 code implementations • 7 Mar 2023 • Kota Nakamura, Yasuko Matsubara, Koki Kawabata, Yuhei Umeda, Yuichiro Wada, Yasushi Sakurai
Thanks to its concise but effective summarization, CubeScope can also detect the sudden appearance of anomalies and identify the types of anomalies that occur in practice.
1 code implementation • NeurIPS 2021 • Koki Kawabata, Siddharth Bhatia, Rui Liu, Mohit Wadhwa, Bryan Hooi
In general, given a data stream of events with seasonal patterns that innovate over time, how can we effectively and efficiently forecast future events?