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Found 4 papers, 2 papers with code
An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series
Several techniques for multivariate time series anomaly detection have been proposed recently, but a systematic comparison on a common set of datasets and metrics is lacking.
What Users Want? WARHOL: A Generative Model for Recommendation
Current recommendation approaches help online merchants predict, for each visiting user, which subset of their existing products is the most relevant.
Attending Self-Attention: A Case Study of Visually Grounded Supervision in Vision-and-Language Transformers
The impressive performances of pre-trained visually grounded language models have motivated a growing body of research investigating what has been learned during the pre-training.
A joint model of unpaired data from scRNA-seq and spatial transcriptomics for imputing missing gene expression measurements
Building upon domain adaptation work, we propose gimVI, a deep generative model for the integration of spatial transcriptomic data and scRNA-seq data that can be used to impute missing genes.
