Zobrazeno 1 - 10
of 6 681
pro vyhledávání: '"Ziyao, An"'
This paper focuses on the system identification of an important class of nonlinear systems: linearly parameterized nonlinear systems, which enjoys wide applications in robotics and other mechanical systems. We consider two system identification metho
Externí odkaz:
http://arxiv.org/abs/2411.00656
Autor:
Shangguan, Ziyao, Li, Chuhan, Ding, Yuxuan, Zheng, Yanan, Zhao, Yilun, Fitzgerald, Tesca, Cohan, Arman
Existing benchmarks often highlight the remarkable performance achieved by state-of-the-art Multimodal Foundation Models (MFMs) in leveraging temporal context for video understanding. However, how well do the models truly perform visual temporal reas
Externí odkaz:
http://arxiv.org/abs/2410.23266
Current generative AI models like ChatGPT, Claude, and Gemini are widely used for knowledge dissemination, task decomposition, and creative thinking. However, their linear interaction methods often force users to repeatedly compare and copy contextua
Externí odkaz:
http://arxiv.org/abs/2410.10570
Autor:
Zhang, Ziyao, Chen, Minjia, Ma, Rui, Sun, Bohao, Wonfor, Adrian, Penty, Richard, Cheng, Qixiang
Photonic integrated switches that are both space and wavelength selective are a highly promising technology for data-intensive applications as they benefit from multi-dimensional manipulation of optical signals. However, scaling these switches normal
Externí odkaz:
http://arxiv.org/abs/2410.05541
Data surveillance has become more covert and pervasive with AI algorithms, which can result in biased social classifications. Appearance offers intuitive identity signals, but what does it mean to let AI observe and speculate on them? We introduce AI
Externí odkaz:
http://arxiv.org/abs/2410.03786
Autor:
Zeng, Ziyao, Wu, Yangchao, Park, Hyoungseob, Wang, Daniel, Yang, Fengyu, Soatto, Stefano, Lao, Dong, Hong, Byung-Woo, Wong, Alex
We propose a method for metric-scale monocular depth estimation. Inferring depth from a single image is an ill-posed problem due to the loss of scale from perspective projection during the image formation process. Any scale chosen is a bias, typicall
Externí odkaz:
http://arxiv.org/abs/2410.02924
Image generation models have encountered challenges related to scalability and quadratic complexity, primarily due to the reliance on Transformer-based backbones. In this study, we introduce MaskMamba, a novel hybrid model that combines Mamba and Tra
Externí odkaz:
http://arxiv.org/abs/2409.19937
Code generation aims to automatically generate code from input requirements, significantly enhancing development efficiency. Recent large language models (LLMs) based approaches have shown promising results and revolutionized code generation task. De
Externí odkaz:
http://arxiv.org/abs/2409.20550
The rapid development of Large Language Models (LLMs) has been pivotal in advancing AI, with pre-trained LLMs being adaptable to diverse downstream tasks through fine-tuning. Federated learning (FL) further enhances fine-tuning in a privacy-aware man
Externí odkaz:
http://arxiv.org/abs/2409.05976
AI Safety is an emerging area of critical importance to the safe adoption and deployment of AI systems. With the rapid proliferation of AI and especially with the recent advancement of Generative AI (or GAI), the technology ecosystem behind the desig
Externí odkaz:
http://arxiv.org/abs/2408.12935