UCLA researchers demonstrate diffractive optical processors as universal nonlinear function approximators using linear ...
Spatially and temporally overlapping target and distractor are both rhythmically sampled at ~1 Hz, and the phase relationship between target sampling and distractor sampling predicts behavior.
Abstract: Capturing complex intervariable relationships is crucial for anomaly detection for multivariate time-series (MTS) data. In recent years, graph neural networks (GNNs) have been introduced to ...
Resumes with they/them pronouns get 8% less likely to be considered a good fit, with 72% of nonbinary job-seekers fearing ...
Abstract: Multivariate long-term time-series forecasting tasks are very challenging tasks in many real-world application areas. Recently, researchers focus on designing robust and effective methods, ...