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pro vyhledávání: '"Lu, Stephen Zhewen"'
Autor:
Lu, Jiarui, Chen, Xiaoyin, Lu, Stephen Zhewen, Shi, Chence, Guo, Hongyu, Bengio, Yoshua, Tang, Jian
Proteins adopt multiple structural conformations to perform their diverse biological functions, and understanding these conformations is crucial for advancing drug discovery. Traditional physics-based simulation methods often struggle with sampling e
Externí odkaz:
http://arxiv.org/abs/2410.18403
Autor:
Lu, Stephen Zhewen, Lu, Ziqing, Hajiramezanali, Ehsan, Biancalani, Tommaso, Bengio, Yoshua, Scalia, Gabriele, Koziarski, Michał
High-content phenotypic screening, including high-content imaging (HCI), has gained popularity in the last few years for its ability to characterize novel therapeutics without prior knowledge of the protein target. When combined with deep learning te
Externí odkaz:
http://arxiv.org/abs/2408.05196
Generative Flow Networks (GFlowNets; GFNs) are a family of reward/energy-based generative methods for combinatorial objects, capable of generating diverse and high-utility samples. However, biasing GFNs towards producing high-utility samples is non-t
Externí odkaz:
http://arxiv.org/abs/2402.05234