Zobrazeno 1 - 10
of 11 867
pro vyhledávání: '"Yan, Bo"'
Publikováno v:
Phys. Rev. A 110 (4), 043118 (2024)
The optical tweezer experiment with neutral atoms is a focal topic in cold atom physics due to its significant potential in quantum computing and simulation. Here, we present the realization of a dual-species optical tweezer for both Rb and K atoms,
Externí odkaz:
http://arxiv.org/abs/2410.20761
We present a framework for learning to generate background music from video inputs. Unlike existing works that rely on symbolic musical annotations, which are limited in quantity and diversity, our method leverages large-scale web videos accompanied
Externí odkaz:
http://arxiv.org/abs/2409.07450
Facial movements play a crucial role in conveying altitude and intentions, and facial optical flow provides a dynamic and detailed representation of it. However, the scarcity of datasets and a modern baseline hinders the progress in facial optical fl
Externí odkaz:
http://arxiv.org/abs/2409.05396
The melting point of a material constitutes a pivotal property with profound implications across various disciplines of science, engineering, and technology. Recent advancements in machine learning potentials have revolutionized the field, enabling a
Externí odkaz:
http://arxiv.org/abs/2408.17270
Pre-training foundation models on large-scale datasets demonstrates exceptional performance. However, recent research questions this traditional notion, exploring whether an increase in pre-training data always leads to enhanced model performance. To
Externí odkaz:
http://arxiv.org/abs/2408.07107
Differentially private graph analysis is a powerful tool for deriving insights from diverse graph data while protecting individual information. Designing private analytic algorithms for different graph queries often requires starting from scratch. In
Externí odkaz:
http://arxiv.org/abs/2408.02928
Deep convolutional neural networks have made significant breakthroughs in medical image classification, under the assumption that training samples from all classes are simultaneously available. However, in real-world medical scenarios, there's a comm
Externí odkaz:
http://arxiv.org/abs/2407.13768
Publikováno v:
Phys. Rev. Lett. 133, 143404 (2024)
As a heavy molecule, barium monofluoride (BaF) presents itself as a promising candidate for measuring permanent electric dipole moment. The precision of such measurements can be significantly enhanced by utilizing a cold molecular sample. Here we rep
Externí odkaz:
http://arxiv.org/abs/2405.17883
Graph condensation, which reduces the size of a large-scale graph by synthesizing a small-scale condensed graph as its substitution, has immediately benefited various graph learning tasks. However, existing graph condensation methods rely on centrali
Externí odkaz:
http://arxiv.org/abs/2405.03911
Autor:
Lin, Yan-Bo, Bertasius, Gedas
Traditional audio-visual methods rely on independent audio and visual backbones, which is costly and not scalable. In this work, we investigate using an audio-visual siamese network (AVSiam) for efficient and scalable audio-visual pretraining. Our fr
Externí odkaz:
http://arxiv.org/abs/2403.19638