Zobrazeno 1 - 10
of 47 524
pro vyhledávání: '"An HY"'
Autor:
Hsu, Alan, Ho, Matthew, Lin, Joyce, Markey, Carleen, Ntampaka, Michelle, Trac, Hy, Póczos, Barnabás
We present a novel approach to reconstruct gas and dark matter projected density maps of galaxy clusters using score-based generative modeling. Our diffusion model takes in mock SZ and X-ray images as conditional observations, and generates realizati
Externí odkaz:
http://arxiv.org/abs/2410.02857
Unsupervised pre-training on vast amounts of graph data is critical in real-world applications wherein labeled data is limited, such as molecule properties prediction or materials science. Existing approaches pre-train models for specific graph domai
Externí odkaz:
http://arxiv.org/abs/2409.19117
Multilingual automatic speech recognition (ASR) in the medical domain serves as a foundational task for various downstream applications such as speech translation, spoken language understanding, and voice-activated assistants. This technology enhance
Externí odkaz:
http://arxiv.org/abs/2409.14074
Publikováno v:
MAPR2024
Cardiovascular disease is a major global health concern, contributing significantly to global mortality. Accurately segmenting cardiac medical imaging data is crucial for reducing fatality rates associated with these conditions. However, current stat
Externí odkaz:
http://arxiv.org/abs/2409.05280
Autor:
Hemberg, Martin, Marini, Federico, Ghazanfar, Shila, Ajami, Ahmad Al, Abassi, Najla, Anchang, Benedict, Benayoun, Bérénice A., Cao, Yue, Chen, Ken, Cuesta-Astroz, Yesid, DeBruine, Zach, Dendrou, Calliope A., De Vlaminck, Iwijn, Imkeller, Katharina, Korsunsky, Ilya, Lederer, Alex R., Meysman, Pieter, Miller, Clint, Mullan, Kerry, Ohler, Uwe, Patikas, Nikolaos, Schuck, Jonas, Siu, Jacqueline HY, Triche Jr., Timothy J., Tsankov, Alex, van der Laan, Sander W., Yajima, Masanao, Yang, Jean, Zanini, Fabio, Jelic, Ivana
The field of single-cell biology is growing rapidly and is generating large amounts of data from a variety of species, disease conditions, tissues, and organs. Coordinated efforts such as CZI CELLxGENE, HuBMAP, Broad Institute Single Cell Portal, and
Externí odkaz:
http://arxiv.org/abs/2408.06563
The versatility of self-attention mechanism earned transformers great success in almost all data modalities, with limitations on the quadratic complexity and difficulty of training. To apply transformers across different data modalities, practitioner
Externí odkaz:
http://arxiv.org/abs/2408.05822
The versatility of self-attention mechanism earned transformers great success in almost all data modalities, with limitations on the quadratic complexity and difficulty of training. Efficient transformers, on the other hand, often rely on clever data
Externí odkaz:
http://arxiv.org/abs/2408.05391
Knowledge graphs (KGs) enhance the performance of large language models (LLMs) and search engines by providing structured, interconnected data that improves reasoning and context-awareness. However, KGs only focus on text data, thereby neglecting oth
Externí odkaz:
http://arxiv.org/abs/2408.04174
Large language models are able to generate code for visualisations in response to simple user requests. This is a useful application and an appealing one for NLP research because plots of data provide grounding for language. However, there are relati
Externí odkaz:
http://arxiv.org/abs/2407.19726
Transparency in AI healthcare decision-making is crucial for building trust among AI and users. Incorporating reasoning capabilities enables Large Language Models (LLMs) to understand emotions in context, handle nuanced language, and infer unstated s
Externí odkaz:
http://arxiv.org/abs/2407.21054