194 citations · 649 across the 42 of their papers we have counts for
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cs.LG2021
Neural forecasting at scale
Philippe Chatigny, Shengrui Wang, Jean-Marc Patenaude +1
We study the problem of efficiently scaling ensemble-based deep neural networks for multi-step time series (TS) forecasting on a large set of time series. Current state-of-the-art…
cs.CV2021★ 1 cited
ProtoRes: Proto-Residual Network for Pose Authoring via Learned Inverse Kinematics
Boris N. Oreshkin, Florent Bocquelet, Félix G. Harvey +2
Our work focuses on the development of a learnable neural representation of human pose for advanced AI assisted animation tooling. Specifically, we tackle the problem of constructi…