Detecting Quantum Anomalies in Open Systems

Kavli Affiliate: Shenghan Jiang | First 5 Authors: Yunlong Zang, Yingfei Gu, Shenghan Jiang, , | Summary: Symmetries and quantum anomalies serve as powerful tools for constraining complicated quantum many-body systems, offering valuable insights into low-energy characteristics based on their ultraviolet structure. Nevertheless, their applicability has traditionally been confined to closed quantum systems, rendering them […]


Continue.. Detecting Quantum Anomalies in Open Systems

Detecting Quantum Anomalies in Open Systems

Kavli Affiliate: Shenghan Jiang | First 5 Authors: Yunlong Zang, Yingfei Gu, Shenghan Jiang, , | Summary: Symmetries and quantum anomalies serve as powerful tools for constraining complicated quantum many-body systems, offering valuable insights into low-energy characteristics based on their ultraviolet structure. Nevertheless, their applicability has traditionally been confined to closed quantum systems, rendering them […]


Continue.. Detecting Quantum Anomalies in Open Systems

Spool-nematic ordering of dsDNA and dsRNA under confinement

Kavli Affiliate: Rudolf Podgornik | First 5 Authors: James Farrell, Jure Dobnikar, Rudolf Podgornik, Tine Curk, | Summary: The ability of double-stranded DNA or RNA to locally melt and form kinks leads to strong non-linear elasticity effects that qualitatively affect their packing in confined spaces. Using analytical theory and numerical simulation we show that kink […]


Continue.. Spool-nematic ordering of dsDNA and dsRNA under confinement

Spool-nematic ordering of dsDNA and dsRNA under confinement

Kavli Affiliate: Rudolf Podgornik | First 5 Authors: James Farrell, Jure Dobnikar, Rudolf Podgornik, Tine Curk, | Summary: The ability of double-stranded DNA or RNA to locally melt and form kinks leads to strong non-linear elasticity effects that qualitatively affect their packing in confined spaces. Using analytical theory and numerical simulation we show that kink […]


Continue.. Spool-nematic ordering of dsDNA and dsRNA under confinement

Spool-nematic ordering of dsDNA and dsRNA under confinement

Kavli Affiliate: Rudolf Podgornik | First 5 Authors: James Farrell, Jure Dobnikar, Rudolf Podgornik, Tine Curk, | Summary: The ability of double-stranded DNA or RNA to locally melt and form kinks leads to strong non-linear elasticity effects that qualitatively affect their packing in confined spaces. Using analytical theory and numerical simulation we show that kink […]


Continue.. Spool-nematic ordering of dsDNA and dsRNA under confinement

VecFusion: Vector Font Generation with Diffusion

Kavli Affiliate: Matthew Fisher | First 5 Authors: Vikas Thamizharasan, Difan Liu, Shantanu Agarwal, Matthew Fisher, Michael Gharbi | Summary: We present VecFusion, a new neural architecture that can generate vector fonts with varying topological structures and precise control point positions. Our approach is a cascaded diffusion model which consists of a raster diffusion model […]


Continue.. VecFusion: Vector Font Generation with Diffusion

VecFusion: Vector Font Generation with Diffusion

Kavli Affiliate: Matthew Fisher | First 5 Authors: Vikas Thamizharasan, Difan Liu, Shantanu Agarwal, Matthew Fisher, Michael Gharbi | Summary: We present VecFusion, a new neural architecture that can generate vector fonts with varying topological structures and precise control point positions. Our approach is a cascaded diffusion model which consists of a raster diffusion model […]


Continue.. VecFusion: Vector Font Generation with Diffusion

VecFusion: Vector Font Generation with Diffusion

Kavli Affiliate: Matthew Fisher | First 5 Authors: Vikas Thamizharasan, Difan Liu, Shantanu Agarwal, Matthew Fisher, Michael Gharbi | Summary: We present VecFusion, a new neural architecture that can generate vector fonts with varying topological structures and precise control point positions. Our approach is a cascaded diffusion model which consists of a raster diffusion model […]


Continue.. VecFusion: Vector Font Generation with Diffusion

CARAT: Contrastive Feature Reconstruction and Aggregation for Multi-modal Multi-label Emotion Recognition

Kavli Affiliate: Cheng Peng | First 5 Authors: Cheng Peng, Ke Chen, Lidan Shou, Gang Chen, | Summary: Multi-modal multi-label emotion recognition (MMER) aims to identify relevant emotions from multiple modalities. The challenge of MMER is how to effectively capture discriminative features for multiple labels from heterogeneous data. Recent studies are mainly devoted to exploring […]


Continue.. CARAT: Contrastive Feature Reconstruction and Aggregation for Multi-modal Multi-label Emotion Recognition

CARAT: Contrastive Feature Reconstruction and Aggregation for Multi-Modal Multi-Label Emotion Recognition

Kavli Affiliate: Cheng Peng | First 5 Authors: Cheng Peng, Ke Chen, Lidan Shou, Gang Chen, | Summary: Multi-modal multi-label emotion recognition (MMER) aims to identify relevant emotions from multiple modalities. The challenge of MMER is how to effectively capture discriminative features for multiple labels from heterogeneous data. Recent studies are mainly devoted to exploring […]


Continue.. CARAT: Contrastive Feature Reconstruction and Aggregation for Multi-Modal Multi-Label Emotion Recognition