Abstract: In this paper, we investigate complex-valued Chinese remainder theorem (C-CRT) with erroneous remainders, where the moduli are Gaussian integers and the errors follow wrapped complex ...

Understanding how functional connectivity between cortical neurons varies with spatial distance is crucial for characterizing large-scale neural dynamics. However, inferring these spatial patterns is ...

This is the official PyTorch implementation of our paper "Maximum Likelihood Reinforcement Learning" by Fahim Tajwar*, Guanning Zeng*, Yueer Zhou, Yuda Song, Daman Arora, Yiding Jiang, Jeff Schneider, ...

Abstract: In modern communication systems, to conserve transmission energy, the collected data are often max-aggregated. This aggregation involves observing only the features with relatively larger ...