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 […]

Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Akel Hashim, Long B. Nguyen, Noah Goss, Brian Marinelli, Ravi K. Naik | Summary: Rapid progress in quantum technology has transformed quantum computing and quantum information science from theoretical possibilities into tangible engineering challenges. Breakthroughs in quantum algorithms, quantum simulations, and quantum error correction are bringing useful […]

Kavli Affiliate: David T. Limmer | First 5 Authors: Kritanjan Polley, Kevin R. Wilson, David T. Limmer, , | Summary: We investigate the evaporation of trace amounts of helium solvated in liquid water using molecular dynamics simulations and theory. Consistent with experimental observations, we find a super-Maxwellian distribution of kinetic energies of evaporated helium. This […]

Kavli Affiliate: Xiang Zhang | First 5 Authors: Weijia Li, Jinhua Yu, Dairong Chen, Yi Lin, Runming Dong | Summary: In this work, we propose a geometry-aware semi-supervised method for fine-grained building function recognition. This method leverages the geometric relationships between multi-source data to improve the accuracy of pseudo labels in semi-supervised learning, extending the […]

Kavli Affiliate: Xiang Zhang | First 5 Authors: Weijia Li, Jinhua Yu, Dairong Chen, Yi Lin, Runmin Dong | Summary: In this work, we propose a geometry-aware semi-supervised method for fine-grained building function recognition. This method leverages the geometric relationships between multi-source data to improve the accuracy of pseudo labels in semi-supervised learning, extending the […]

Kavli Affiliate: Xiang Zhang | First 5 Authors: Weijia Li, Jinhua Yu, Dairong Chen, Yi Lin, Runmin Dong | Summary: In this work, we propose a geometry-aware semi-supervised framework for fine-grained building function recognition, utilizing geometric relationships among multi-source data to enhance pseudo-label accuracy in semi-supervised learning, broadening its applicability to various building function categorization […]

Kavli Affiliate: Alessandra Lanzara | First 5 Authors: Maximilian Huber, Yi Lin, Giovanni Marini, Luca Moreschini, Chris Jozwiak | Summary: Screening, a ubiquitous phenomenon associated with the shielding of electric fields by surrounding charges, has been widely adopted as a means to modify a material’s properties. While so far most studies have relied on static […]

Kavli Affiliate: David T. Limmer | First 5 Authors: Ashesh Ghosh, Kranthi K. Mandadapu, David T. Limmer, , | Summary: We present a solution for the Green’s function for the general case of a helical wormlike chain with twist-bend coupling, and demonstrate the applicability of our solution for evaluating general structural and mechanical chain properties. […]

Kavli Affiliate: Feng Wang | First 5 Authors: Liting Jiang, Feng Wang, Wenyi Zhang, Peifeng Li, Hongjian You | Summary: Stereo matching, a critical step of 3D reconstruction, has fully shifted towards deep learning due to its strong feature representation of remote sensing images. However, ground truth for stereo matching task relies on expensive airborne […]

Kavli Affiliate: Feng Wang | First 5 Authors: Liting Jiang, Yuming Xiang, Feng Wang, Hongjian You, | Summary: Stereo matching in remote sensing has recently garnered increased attention, primarily focusing on supervised learning. However, datasets with ground truth generated by expensive airbone Lidar exhibit limited quantity and diversity, constraining the effectiveness of supervised networks. In […]