1 code implementation • ICML 2020 • Steven Cheng-Xian Li, Benjamin M. Marlin
We model observed irregularly-sampled time series data as a sequence of index-value pairs sampled from a continuous but unobserved function.
1 code implementation • ICLR 2019 • Steven Cheng-Xian Li, Bo Jiang, Benjamin Marlin
Generative adversarial networks (GANs) have been shown to provide an effective way to model complex distributions and have obtained impressive results on various challenging tasks.
1 code implementation • NeurIPS 2016 • Steven Cheng-Xian Li, Benjamin Marlin
We present a general framework for classification of sparse and irregularly-sampled time series.