## TediGAN Text Guided Diverse Image Generation and Manipulation

In this work, we propose TediGAN, a novel framework for multi-modal imagegeneration and manipulation with textual descriptions . The proposed method consists of three components: StyleGAN inversion module, visual-linguistics similarity learning, and instance-level optimization . Our model can provide the lowest effect guarantee, and producediverse and high-quality images with an unprecedented resolution at 1024 .…

## Cost effective Machine Learning Inference Offload for Edge Computing

Computing at the edge is increasingly important since a massive amount of data is generated . This poses challenges in transporting all that data to theremote data centers and cloud, where they can be processed and analyzed . But harnessing the edge data is essential for offering data-driven andmachine learning-based applications, if the challenges, such as devicecapabilities, connectivity, and heterogeneity can be mitigated .…

## Stellar Resolution Multiplicatives for the linear logician through examples

The stellar resolution is an asynchronous model of computation used in Girard’s Transcendental Syntax . It is based on Robinson’s first-order clausalresolution . By using methods of realisability for linear logic, we obtain a new model of multiplicative linear logic (MLL) Based on sort of logic programscalled constellations which are used to represent proofs, cut-elimination, and correctness and provability very naturally .…