Explorable Mesh Deformation Subspaces from Unstructured Generative Models

Kavli Affiliate: Matthew Fisher | First 5 Authors: Arman Maesumi, Paul Guerrero, Vladimir G. Kim, Matthew Fisher, Siddhartha Chaudhuri | Summary: Exploring variations of 3D shapes is a time-consuming process in traditional 3D modeling tools. Deep generative models of 3D shapes often feature continuous latent spaces that can, in principle, be used to explore potential […]


Continue.. Explorable Mesh Deformation Subspaces from Unstructured Generative Models

On the Impact of Cross-Domain Data on German Language Models

Kavli Affiliate: Cheng Peng | First 5 Authors: Amin Dada, Aokun Chen, Cheng Peng, Kaleb E Smith, Ahmad Idrissi-Yaghir | Summary: Traditionally, large language models have been either trained on general web crawls or domain-specific data. However, recent successes of generative large language models, have shed light on the benefits of cross-domain datasets. To examine […]


Continue.. On the Impact of Cross-Domain Data on German Language Models

On the Impact of Cross-Domain Data on German Language Models

Kavli Affiliate: Cheng Peng | First 5 Authors: Amin Dada, Aokun Chen, Cheng Peng, Kaleb E Smith, Ahmad Idrissi-Yaghir | Summary: Traditionally, large language models have been either trained on general web crawls or domain-specific data. However, recent successes of generative large language models, have shed light on the benefits of cross-domain datasets. To examine […]


Continue.. On the Impact of Cross-Domain Data on German Language Models

Memory-Assisted Sub-Prototype Mining for Universal Domain Adaptation

Kavli Affiliate: Yi Zhou | First 5 Authors: Yuxiang Lai, Yi Zhou, Xinghong Liu, Tao Zhou, | Summary: Universal domain adaptation aims to align the classes and reduce the feature gap between the same category of the source and target domains. The target private category is set as the unknown class during the adaptation process, […]


Continue.. Memory-Assisted Sub-Prototype Mining for Universal Domain Adaptation

An exact method for bosonizing the Fermi surface in arbitrary dimensions

Kavli Affiliate: Leon Balents | First 5 Authors: Takamori Park, Leon Balents, , , | Summary: Inspired by the recent work by Delacretaz et. al., we rigorously derive an exact and simple method to bosonize a non-interacting fermionic system with a Fermi surface starting from a microscopic Hamiltonian. In the long-wavelength limit, we show that […]


Continue.. An exact method for bosonizing the Fermi surface in arbitrary dimensions

An exact method for bosonizing the Fermi surface in arbitrary dimensions

Kavli Affiliate: Leon Balents | First 5 Authors: Takamori Park, Leon Balents, , , | Summary: Inspired by the recent work by Delacretaz et. al., we rigorously derive an exact and simple method to bosonize a non-interacting fermionic system with a Fermi surface starting from a microscopic Hamiltonian. In the long-wavelength limit, we show that […]


Continue.. An exact method for bosonizing the Fermi surface in arbitrary dimensions

From Stoner to Local Moment Magnetism in Atomically Thin Cr2Te3

Kavli Affiliate: Cheng Peng | First 5 Authors: Yong Zhong, Cheng Peng, Haili Huang, Dandan Guan, Jinwoong Hwang | Summary: The field of two-dimensional (2D) ferromagnetism has been proliferating over the past few years, with ongoing interests in basic science and potential applications in spintronic technology. However, a high-resolution spectroscopic study of the 2D ferromagnet […]


Continue.. From Stoner to Local Moment Magnetism in Atomically Thin Cr2Te3

Simplicity of AdS Super Yang-Mills at One Loop

Kavli Affiliate: Xinan Zhou | First 5 Authors: Zhongjie Huang, Bo Wang, Ellis Ye Yuan, Xinan Zhou, | Summary: We perform a systematic bootstrap analysis of four-point one-loop Mellin amplitudes for super gluons in $mathrm{AdS}_5timesmathrm{S}^3$ with arbitrary Kaluza-Klein weights. The analysis produces the general expressions for these amplitudes at extremalities two and three, as well […]


Continue.. Simplicity of AdS Super Yang-Mills at One Loop

Edge-aware Feature Aggregation Network for Polyp Segmentation

Kavli Affiliate: Yi Zhou | First 5 Authors: Tao Zhou, Yizhe Zhang, Geng Chen, Yi Zhou, Ye Wu | Summary: Precise polyp segmentation is vital for the early diagnosis and prevention of colorectal cancer (CRC) in clinical practice. However, due to scale variation and blurry polyp boundaries, it is still a challenging task to achieve […]


Continue.. Edge-aware Feature Aggregation Network for Polyp Segmentation