Boosted Embeddings for Time Series

Data Skeptic

Episode | Podcast

Date: Mon, 04 Oct 2021 13:00:00 +0000

<p>Sankeerth Rao Karingula, ML Researcher at Palo Alto Networks, joins us today to talk about his work “Boosted Embeddings for Time Series Forecasting.”</p> <p><br /> <strong>Works Mentioned</strong><br /> <a href="https://arxiv.org/abs/2104.04781">Boosted Embeddings for Time Series Forecasting</a><br /> by Sankeerth Rao Karingula, Nandini Ramanan, Rasool Tahmasbi, Mehrnaz Amjadi, Deokwoo Jung, Ricky Si, Charanraj Thimmisetty, Luisa Polania Cabrera, Marjorie Sayer, Claudionor Nunes Coelho Jr</p> <p><a href="https://www.linkedin.com/in/sankeerthrao/">https://www.linkedin.com/in/sankeerthrao/</a></p> <p><a href="https://twitter.com/sankeerthrao3">https://twitter.com/sankeerthrao3</a> </p> <p><a href="https://lod2021.icas.cc/">https://lod2021.icas.cc/</a> </p>