We are happy to release MMBench-GUI, a hierarchical, multi-platform benchmark framework and toolbox, to evaluate GUI agents. MMBench-GUI is comprising four evaluation levels: GUI Content Understanding ...

We introduce, for the first time in wireless communication networks, a quantum gradient descent (QGD) algorithm to maximize sum data rates in non-orthogonal multiple access (NOMA)-based simultaneously ...

We consider the problem of recovering off-the-grid spikes from linear measurements in the context of Single Molecule Localization Microscopy (SMLM). State of the art model-based methods such as ...

Mini Batch Gradient Descent is an algorithm that helps to speed up learning while dealing with a large dataset. Instead of updating the weight parameters after assessing the entire dataset, Mini ...

Validation datasets are sent to inference engines as a whole batch, which will schedule the memory themselves. (TaskRunner pid=146440) [validate_config] All configuration checks passed successfully!