Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Nolan, Oisín"'
Diffusion models have quickly risen in popularity for their ability to model complex distributions and perform effective posterior sampling. Unfortunately, the iterative nature of these generative models makes them computationally expensive and unsui
Externí odkaz:
http://arxiv.org/abs/2409.05399
Ultrasound images formed by delay-and-sum beamforming are plagued by artifacts that only clear up after compounding many transmissions. Some prior works pose imaging as an inverse problem. This approach can yield high image quality with few transmits
Externí odkaz:
http://arxiv.org/abs/2407.02285
Subsampling is commonly used to mitigate costs associated with data acquisition, such as time or energy requirements, motivating the development of algorithms for estimating the fully-sampled signal of interest $x$ from partially observed measurement
Externí odkaz:
http://arxiv.org/abs/2406.14388
This paper presents a new approach to the FNC-1 fake news classification task which involves employing pre-trained encoder models from similar NLP tasks, namely sentence similarity and natural language inference, and two neural network architectures
Externí odkaz:
http://arxiv.org/abs/2206.07535