Meeting with Angus Dempster - Rocket, MiniRocket, and MultiRocket
Hi all,
I’d like to invite you to participate in a web meeting we’ll have with Angus Dempster next week (@angusde ).
For those of you who don’t know him, Angus is a Ph.D. student at Monash University in Australia (a world-class group in time series research) and is one of the authors of several outstanding papers:
- Dempster, A., Petitjean, F., & Webb, G. I. (2020). ROCKET: exceptionally fast and accurate time series classification using random convolutional kernels. Data Mining and Knowledge Discovery , 34 (5), 1454-1495.
- Dempster, A., Schmidt, D. F., & Webb, G. I. (2020). MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification. arXiv preprint arXiv:2012.08791 .
- Tan, C. W., Dempster, A., Bergmeir, C., & Webb, G. I. (2021). MultiRocket: Effective summary statistics for convolutional outputs in time series classification. arXiv preprint arXiv:2102.00457 .
As you probably know, the ROCKETs have made a very significant impact in Time Series Classification and Regression. They are not only incredibly fast but have established a new SOTA!
Interestingly, the ROCKET’s use a very different approach compared to all other algorithms.
If you want to learn more about how they work and want to take the opportunity to ask one of the top researchers in the area of time series come and join us!
Date/ Time:
- February 10th (Wednesday) from 5:00 to 6:00 am Australian Eastern Daylight Time
- February 9th (Tuesday) from 7:00 to 8:00 pm Central European Time
- February 9th (Tuesday) from 1:00 to 2:00 pm Eastern Standard Time
If you are willing to participate, please reply to this blog post indicating so and I will forward you the link to the meeting through the forum’s email. We’ll use Google Meet.