Zobrazeno 1 - 10
of 6 353
pro vyhledávání: '"Ma, Yi-An"'
In-hand manipulation of pen-like objects is an important skill in our daily lives, as many tools such as hammers and screwdrivers are similarly shaped. However, current learning-based methods struggle with this task due to a lack of high-quality demo
Externí odkaz:
http://arxiv.org/abs/2407.18902
Wi-Fi sensing has become an attractive option for non-invasive monitoring of human activities and vital signs. This paper explores the feasibility of using state-of-the-art commercial off-the-shelf (COTS) devices for Wi-Fi sensing applications, parti
Externí odkaz:
http://arxiv.org/abs/2407.05155
Recent advancements in diffusion models have made a significant breakthrough in generative modeling. The combination of the generative model and semantic communication (SemCom) enables high-fidelity semantic information exchange at ultra-low rates. A
Externí odkaz:
http://arxiv.org/abs/2407.03050
Black-box optimization (BBO) aims to optimize an objective function by iteratively querying a black-box oracle. This process demands sample-efficient optimization due to the high computational cost of function evaluations. While prior studies focus o
Externí odkaz:
http://arxiv.org/abs/2407.00610
Autor:
Bakhsh, Zohre Mashayekh, Omid, Yasaman, Chen, Gaojie, Kayhan, Farbod, Ma, Yi, Tafazolli, Rahim
Advancements in satellite technology have made direct-to-device connectivity a viable solution for ensuring global access. This method is designed to provide internet connectivity to remote, rural, or underserved areas where traditional cellular or b
Externí odkaz:
http://arxiv.org/abs/2407.00196
Leveraging the powerful generative capability of diffusion models (DMs) to build decision-making agents has achieved extensive success. However, there is still a demand for an easy-to-use and modularized open-source library that offers customized and
Externí odkaz:
http://arxiv.org/abs/2406.09509
Partially manipulating a sentence can greatly change its meaning. Recent work shows that countermeasures (CMs) trained on partially spoofed audio can effectively detect such spoofing. However, the current understanding of the decision-making process
Externí odkaz:
http://arxiv.org/abs/2406.02483
The maximal coding rate reduction (MCR$^2$) objective for learning structured and compact deep representations is drawing increasing attention, especially after its recent usage in the derivation of fully explainable and highly effective deep network
Externí odkaz:
http://arxiv.org/abs/2406.01909
Optimization objectives in the form of a sum of intractable expectations are rising in importance (e.g., diffusion models, variational autoencoders, and many more), a setting also known as "finite sum with infinite data." For these problems, a popula
Externí odkaz:
http://arxiv.org/abs/2406.00920
CRATE, a white-box transformer architecture designed to learn compressed and sparse representations, offers an intriguing alternative to standard vision transformers (ViTs) due to its inherent mathematical interpretability. Despite extensive investig
Externí odkaz:
http://arxiv.org/abs/2405.20299