Chris Sandino
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View article: How PARTs assemble into wholes: Learning the relative composition of images
How PARTs assemble into wholes: Learning the relative composition of images Open
The composition of objects and their parts, along with object-object positional relationships, provides a rich source of information for representation learning. Hence, spatial-aware pretext tasks have been actively explored in self-superv…
View article: Generalizable autoregressive modeling of time series through functional narratives
Generalizable autoregressive modeling of time series through functional narratives Open
Time series data are inherently functions of time, yet current transformers often learn time series by modeling them as mere concatenations of time periods, overlooking their functional properties. In this work, we propose a novel objectiv…
View article: Frequency-Aware Masked Autoencoders for Multimodal Pretraining on Biosignals
Frequency-Aware Masked Autoencoders for Multimodal Pretraining on Biosignals Open
Leveraging multimodal information from biosignals is vital for building a comprehensive representation of people's physical and mental states. However, multimodal biosignals often exhibit substantial distributional shifts between pretraini…