Superconductivity and Competing Orders in the Square-Lattice $t$-$J$-$V$ Model: Insights into Electron-Doped Cuprates

Kavli Affiliate: Fuchun Zhang | First 5 Authors: Qianqian Chen, Lei Qiao, Fuchun Zhang, Zheng Zhu, | Summary: To understand the discrepancies between the experimental observations of the weak or absent superconductivity in electron-doped cuprates and the extraordinarily robust superconductivity in numerical results of the $t$-$J$-type model, we investigate the role of inter-site electron interactions […]


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Forcing Generative Models to Degenerate Ones: The Power of Data Poisoning Attacks

Kavli Affiliate: Yi Zhou | First 5 Authors: Shuli Jiang, Swanand Ravindra Kadhe, Yi Zhou, Ling Cai, Nathalie Baracaldo | Summary: Growing applications of large language models (LLMs) trained by a third party raise serious concerns on the security vulnerability of LLMs.It has been demonstrated that malicious actors can covertly exploit these vulnerabilities in LLMs […]


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Thermomagnetic Anomalies by Magnonic Criticality in Ultracold Atomic Transport

Kavli Affiliate: Mamoru Matsuo | First 5 Authors: Yuta Sekino, Yuya Ominato, Hiroyuki Tajima, Shun Uchino, Mamoru Matsuo | Summary: We investigate thermomagnetic transport in an ultracold atomic system with two ferromagnets linked via a magnetic quantum point contact. Using nonequilibrium Green’s function approach, we show a divergence in spin conductance and a slowing down […]


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A simple sensitivity analysis method for unmeasured confounders via linear programming with estimating equation constraints

Kavli Affiliate: Yi Zhou | First 5 Authors: Chengyao Tang, Yi Zhou, Ao Huang, Satoshi Hattori, | Summary: In estimating the average treatment effect in observational studies, the influence of confounders should be appropriately addressed. To this end, the propensity score is widely used. If the propensity scores are known for all the subjects, bias […]


Continue.. A simple sensitivity analysis method for unmeasured confounders via linear programming with estimating equation constraints

OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline

Kavli Affiliate: Zheng Zhu | First 5 Authors: Xianda Guo, Juntao Lu, Chenming Zhang, Yiqi Wang, Yiqun Duan | Summary: Stereo matching, a pivotal technique in computer vision, plays a crucial role in robotics, autonomous navigation, and augmented reality. Despite the development of numerous impressive methods in recent years, replicating their results and determining the […]


Continue.. OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline

OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline

Kavli Affiliate: Zheng Zhu | First 5 Authors: Xianda Guo, Juntao Lu, Chenming Zhang, Yiqi Wang, Yiqun Duan | Summary: Stereo matching, a pivotal technique in computer vision, plays a crucial role in robotics, autonomous navigation, and augmented reality. Despite the development of numerous impressive methods in recent years, replicating their results and determining the […]


Continue.. OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline

OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline

Kavli Affiliate: Zheng Zhu | First 5 Authors: Xianda Guo, Juntao Lu, Chenming Zhang, Yiqi Wang, Yiqun Duan | Summary: Stereo matching aims to estimate the disparity between matching pixels in a stereo image pair, which is of great importance to robotics, autonomous driving, and other computer vision tasks. Despite the development of numerous impressive […]


Continue.. OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline

OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline

Kavli Affiliate: Zheng Zhu | First 5 Authors: Xianda Guo, Juntao Lu, Chenming Zhang, Yiqi Wang, Yiqun Duan | Summary: Stereo matching aims to estimate the disparity between matching pixels in a stereo image pair, which is of great importance to robotics, autonomous driving, and other computer vision tasks. Despite the development of numerous impressive […]


Continue.. OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline

Segment Anything Model-guided Collaborative Learning Network for Scribble-supervised Polyp Segmentation

Kavli Affiliate: Yi Zhou | First 5 Authors: Yiming Zhao, Tao Zhou, Yunqi Gu, Yi Zhou, Yizhe Zhang | Summary: Polyp segmentation plays a vital role in accurately locating polyps at an early stage, which holds significant clinical importance for the prevention of colorectal cancer. Various polyp segmentation methods have been developed using fully-supervised deep […]


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Nanoscale confinement and control of excitonic complexes in a monolayer WSe2

Kavli Affiliate: Cheng Peng | First 5 Authors: Hyowon Moon, Lukas Mennel, Chitraleema Chakraborty, Cheng Peng, Jawaher Almutlaq | Summary: Nanoscale control and observation of photophysical processes in semiconductors is critical for basic understanding and applications from optoelectronics to quantum information processing. In particular, there are open questions and opportunities in controlling excitonic complexes in […]


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