Výsledky vyhledávání

Report

Model-Based Control with Sparse Neural Dynamics

Autor: Liu, Ziang, Zhou, Genggeng, He, Jeff, Marcucci, Tobia, Fei-Fei, Li, Wu, Jiajun, Li, Yunzhu

Learning predictive models from observations using deep neural networks (DNNs) is a promising new approach to many real-world planning and control problems. However, common DNNs are too unstructured for effective planning, and current control methods

Externí odkaz: http://arxiv.org/abs/2312.12791

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Report

Extracting Molecular Properties from Natural Language with Multimodal Contrastive Learning

Autor: Lacombe, Romain, Gaut, Andrew, He, Jeff, Lüdeke, David, Pistunova, Kateryna

Deep learning in computational biochemistry has traditionally focused on molecular graphs neural representations; however, recent advances in language models highlight how much scientific knowledge is encoded in text. To bridge these two modalities,

Externí odkaz: http://arxiv.org/abs/2307.12996

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Report

Contingencies from Observations: Tractable Contingency Planning with Learned Behavior Models

Autor: Rhinehart, Nicholas, He, Jeff, Packer, Charles, Wright, Matthew A., McAllister, Rowan, Gonzalez, Joseph E., Levine, Sergey

Humans have a remarkable ability to make decisions by accurately reasoning about future events, including the future behaviors and states of mind of other agents. Consider driving a car through a busy intersection: it is necessary to reason about the

Externí odkaz: http://arxiv.org/abs/2104.10558

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Dissertation/ Thesis

The Role of Vascular Matrix Metalloproteinase-2 and Heme Oxygenase-2 in Mediating the Response to Hypoxia

Autor: He, Jeff ZiJian

Systemic hypoxia frequently occurs in patients with cardiopulmonary diseases. Maintenance of vascular reactivity and endothelial viability is essential to preserving oxygen delivery in these patients. The role of matrix metalloproteinase-2 (MMP-2) an

Externí odkaz: http://hdl.handle.net/1807/17770

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