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pro vyhledávání: '"Yeung, Jacob"'
Autor:
Luo, Andrew F., Yeung, Jacob, Zawar, Rushikesh, Dewan, Shaurya, Henderson, Margaret M., Wehbe, Leila, Tarr, Michael J.
Advances in large-scale artificial neural networks have facilitated novel insights into the functional topology of the brain. Here, we leverage this approach to study how semantic categories are organized in the human visual cortex. To overcome the c
Externí odkaz:
http://arxiv.org/abs/2410.05266
Autor:
Yeung, Jacob, Luo, Andrew F., Sarch, Gabriel, Henderson, Margaret M., Ramanan, Deva, Tarr, Michael J.
Humans experience the world through constantly changing visual stimuli, where scenes can shift and move, change in appearance, and vary in distance. The dynamic nature of visual perception is a fundamental aspect of our daily lives, yet the large maj
Externí odkaz:
http://arxiv.org/abs/2406.02659
Histone modifications play a critical role in gene regulation. Consequently, predicting gene expression from histone modification signals is a highly motivated problem in epigenetics. We build upon the work of DeepChrome by Singh et al. (2016), who t
Externí odkaz:
http://arxiv.org/abs/2209.11923
Hierarchy and compositionality are common latent properties in many natural and scientific datasets. Determining when a deep network's hidden activations represent hierarchy and compositionality is important both for understanding deep representation
Externí odkaz:
http://arxiv.org/abs/1905.13308