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 […]


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A Practical Introduction to Benchmarking and Characterization of Quantum Computers

Posted by dbos Berkeley

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 […]


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E-Bench: Subjective-Aligned Benchmark Suite for Text-Driven Video Editing Quality Assessment

Posted by dbos Caltech

Kavli Affiliate: Wei Gao | First 5 Authors: Shangkun Sun, Xiaoyu Liang, Songlin Fan, Wenxu Gao, Wei Gao | Summary: Text-driven video editing has recently experienced rapid development. Despite this, evaluating edited videos remains a considerable challenge. Current metrics tend to fail to align with human perceptions, and effective quantitative metrics for video editing are […]


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VE-Bench: Subjective-Aligned Benchmark Suite for Text-Driven Video Editing Quality Assessment

Posted by Caltech

Kavli Affiliate: Wei Gao | First 5 Authors: Shangkun Sun, Xiaoyu Liang, Songlin Fan, Wenxu Gao, Wei Gao | Summary: Text-driven video editing has recently experienced rapid development. Despite this, evaluating edited videos remains a considerable challenge. Current metrics tend to fail to align with human perceptions, and effective quantitative metrics for video editing are […]


Continue.. VE-Bench: Subjective-Aligned Benchmark Suite for Text-Driven Video Editing Quality Assessment

Electron-Electron Interactions, Magnetism, and Superconductivity: Lecture Notes for Introduction to Solid State Physics

Posted by dbos Cornell

Kavli Affiliate: Daniel C. Ralph | First 5 Authors: Daniel C. Ralph, , , , | Summary: Lecture notes used as part of a graduate-level Introduction to Solid State Physics course at Cornell University. I attempt to unify and update the discussion of magnetism and superconductivity relative to standard textbook treatments, and include connections to […]


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Inverse model for network construction: (δ(G), I’ (G)) -> G

Posted by dbos Caltech

Kavli Affiliate: Wei Gao | First 5 Authors: Wei Gao, Yaojun Chen, Hainan Zhang, , | Summary: The isolated toughness variant is a salient parameter for measuring the vulnerability of networks, which is inherently related to fractional factors (used to characterize the feasibility of data transmission). The combination of minimum degree and the corresponding tight […]


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Elucidating the mechanism of helium evaporation from liquid water

Posted by dbos Berkeley

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 […]


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Fine-Grained Building Function Recognition from Street-View Images via Geometry-Aware Semi-Supervised Learning

Posted by dbos Berkeley

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 […]


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Fine-Grained Building Function Recognition from Street-View Images via Geometry-Aware Semi-Supervised Learning

Posted by dbos Berkeley

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 […]


Continue.. Fine-Grained Building Function Recognition from Street-View Images via Geometry-Aware Semi-Supervised Learning

Fine-Grained Building Function Recognition from Street-View Images via Geometry-Aware Semi-Supervised Learning

Posted by dbos Berkeley

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 […]


Continue.. Fine-Grained Building Function Recognition from Street-View Images via Geometry-Aware Semi-Supervised Learning