1 citations · 1 across the 3 of their papers we have counts for
3 papers
Unsupervised clustering of series using dynamic programming and neural processes
Karthigan Sinnathamby, Chang-Yu Hou, Lalitha Venkataramanan +2
Following the work of arXiv:2101.09512, we are interested in clustering a given multi-variate series in an unsupervised manner. We would like to segment and cluster the series such…
Unsupervised clustering of series using dynamic programming
Karthigan Sinnathamby, Chang-Yu Hou, Lalitha Venkataramanan +2
We are interested in clustering parts of a given single multi-variate series in an unsupervised manner. We would like to segment and cluster the series such that the resulting bloc…
Multi-task Reinforcement Learning with a Planning Quasi-Metric
Vincent Micheli, Karthigan Sinnathamby, François Fleuret
We introduce a new reinforcement learning approach combining a planning quasi-metric (PQM) that estimates the number of steps required to go from any state to another, with task-sp…