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pro vyhledávání: '"Masrourisaadat, Nila"'
Advances in generative models have led to significant interest in image synthesis, demonstrating the ability to generate high-quality images for a diverse range of text prompts. Despite this progress, most studies ignore the presence of bias. In this
Externí odkaz:
http://arxiv.org/abs/2407.00138
Autor:
Masrourisaadat, Nila
The field of image synthesis has seen significant progress recently, including great strides with generative models like Generative Adversarial Networks (GANs), Diffusion Models, and Transformers. These models have shown they can create high-quality
Externí odkaz:
http://hdl.handle.net/10919/116173
We present an analysis for the performance of decentralized consensus-based gradient (DCG) methods for solving optimization problems over a cluster network of nodes. This type of network is composed of a number of densely connected clusters with a sp
Externí odkaz:
http://arxiv.org/abs/2110.06992
The CS 5604: Information Storage and Retrieval class (Fall 2022), led by Dr. Edward Fox, has been assigned the task of designing and implementing a state-of-the-art information retrieval and analysis system that will support Electronic Theses & Disse
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2485::f5ce2f9c4cdc29ccce02058af46d70aa
https://hdl.handle.net/10919/114081
https://hdl.handle.net/10919/114081