Enhancing Uplift Modeling in Multi-Treatment Marketing Campaigns: Leveraging Score Ranking and Calibration Techniques

Posted by dbos Berkeley

Kavli Affiliate: Ting Xu | First 5 Authors: Yoon Tae Park, Ting Xu, Mohamed Anany, , | Summary: Uplift modeling is essential for optimizing marketing strategies by selecting individuals likely to respond positively to specific marketing campaigns. This importance escalates in multi-treatment marketing campaigns, where diverse treatment is available and we may want to assign […]


Continue.. Enhancing Uplift Modeling in Multi-Treatment Marketing Campaigns: Leveraging Score Ranking and Calibration Techniques

HMGB1 restores a dynamic chromatin environment in the presence of linker histone by deforming nucleosomal DNA

Posted by dbos UCSF

Kavli Affiliate: Yifan Cheng | Authors: Hayden S Saunders, Un Seng Chio, Camille M Moore, Vijay Ramani, Yifan Cheng and Geeta Narlikar | Summary: Summary: The essential architectural protein HMGB1 increases accessibility of nucleosomal DNA and counteracts the effects of linker histone H1. However, HMGB1 is less abundant than H1 and binds nucleosomes more weakly […]


Continue.. HMGB1 restores a dynamic chromatin environment in the presence of linker histone by deforming nucleosomal DNA

Prompt-Softbox-Prompt: A free-text Embedding Control for Image Editing

Posted by dbos Peking

Kavli Affiliate: Jing Wang | First 5 Authors: Yitong Yang, Yinglin Wang, Jing Wang, Tian Zhang, | Summary: Text-driven diffusion models have achieved remarkable success in image editing, but a crucial component in these models-text embeddings-has not been fully explored. The entanglement and opacity of text embeddings present significant challenges to achieving precise image editing. […]


Continue.. Prompt-Softbox-Prompt: A free-text Embedding Control for Image Editing

Efficient estimation of rotation-induced bias to reconstructed CMB lensing power spectrum

Posted by dbos Tokyo

Kavli Affiliate: Toshiya Namikawa | First 5 Authors: Hongbo Cai, Yilun Guan, Toshiya Namikawa, Arthur Kosowsky, | Summary: The cosmic microwave background (CMB) lensing power spectrum is a powerful probe of the late-time universe, encoding valuable information about cosmological parameters such as the sum of neutrino masses and dark energy equation of state. However, the […]


Continue.. Efficient estimation of rotation-induced bias to reconstructed CMB lensing power spectrum