3 papers
cs.LG2021
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…
cs.LG2021
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…
cs.LG2020
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…